AI Native Lang Size Benchmark

This benchmark measures AINL source compactness against generated implementation artifacts. It is segmented by profile and mode; it is not a universal compactness claim across programming languages.

Sizing: All markdown tables foreground tiktoken cl100k_base token counts (billing-accurate for GPT-4o-class models). JSON numeric fields still use the CLI --metric. Emitters: prisma and react_ts benchmark stubs were compacted (Mar 2026) for benchmark efficiency. minimal_emit: includes a tiny python_api async fallback stub when no selected target emits code. Headline ratios: viable subset for public_mixed / compatibility_only (legacy / pure-cron focus); full legacy-inclusive totals appear below.

Benchmark Profiles

canonical_strict_valid: Primary public benchmark headline set (strict-valid canonical examples).
public_mixed: Mixed public examples (strict-valid + non-strict-only), clearly labeled as mixed.
compatibility_only: Compatibility-oriented examples only (non-strict/legacy classes). Not a headline set.

Benchmark Modes

full_multitarget: includes all benchmark targets for each artifact (compiler emitters + hybrid wrappers).
full_multitarget_core: six compiler-backed emitters only (matches historical multitarget headline before hybrid wrappers).
minimal_emit: includes only capability-required targets for each artifact.

CI regression baselines (GitHub Actions)

The benchmark-regression workflow compares the freshly generated CI slice JSON (tooling/benchmark_size_ci.json, tooling/benchmark_runtime_ci.json) against files extracted from the baseline git SHA (merge base on PRs, github.event.before on pushes, else origin/main). If tooling/benchmark_size_ci.json / tooling/benchmark_runtime_ci.json exist on that baseline commit, those are preferred (apples-to-apples with the same profile/mode slice). Otherwise the job falls back to the full reports tooling/benchmark_size.json and tooling/benchmark_runtime_results.json when present. Regenerate the CI twins locally with make benchmark-ci (uses the same PYTHON resolution as make benchmark; override with PYTHON=...) and commit them when you want main to anchor CI-vs-CI regressions.

Compiler IR Capability Contract

emit_capabilities.needs_python_api: backend/API execution surface is required.
emit_capabilities.needs_react_ts: frontend UI output is required.
emit_capabilities.needs_prisma: schema/data model output is required.
emit_capabilities.needs_mt5: MT5 strategy output is required.
emit_capabilities.needs_scraper: scraper output is required.
emit_capabilities.needs_cron: cron/scheduler output is required.
emit_capabilities.needs_langgraph / needs_temporal: opt-in hybrid wrapper targets (default false in the compiler).
required_emit_targets.minimal_emit: compiler-planned minimal target set (planner primary source).

Comparative methodology (vs LangGraph, Temporal, prompt-loop frameworks)

Use this repo’s benchmarks to compare authoring compactness (tiktoken on .ainl vs emitted --emit langgraph / --emit temporal vs hand-written baselines) and post-compile runtime cost — not to claim parity with every hosted feature of other stacks.

Step-by-step commands and honest boundaries: docs/competitive/VERSUS_LANGGRAPH_TEMPORAL_BENCHMARKS.md
Who is AINL for? (canonical ICP + baseline A/B/C + decision tree): docs/WHO_IS_THIS_FOR.md
Production evidence (committed): docs/competitive/PRODUCTION_EVIDENCE.md
ArmaraOS GTM wedge: docs/competitive/ARMARAOS_GTM.md
Onboarding + positioning (no fake numbers): docs/competitive/FROM_LANGGRAPH_TO_AINL.md, docs/competitive/AINL_AND_TEMPORAL.md
OpenClaw / MCP production worksheet: docs/competitive/OPENCLAW_PRODUCTION_SAVINGS.md
Comparison tables (docs/competitive/COMPARISON_TABLE.md): committed benchmark figures + TBD where noted.

Competitive Context

These benchmarks power the head-to-head comparison tables:

Metrics

Default / recommended: tiktoken (cl100k_base) via tooling/bench_metrics.py (shared with runtime benchmarks).
Active CLI metric (JSON): tiktoken — drives raw JSON sizes, economics basis, and viable-threshold comparisons where noted; markdown artifact tables still list (tk) for readability.
Compile ms (mean×3): mean wall time of three compile(..., emit_graph=True) calls per artifact (see JSON compile_time_ms_mean); unrelated to optional compile-reliability batches.
Economics: estimated LLM $/run from token budgets (see JSON economics).

How To Read These Results

Ratio > 1: generated output is larger than AINL source.
Ratio ~ 1: near parity.
Ratio < 1: generated output is smaller than AINL source.
Summary and mode-comparison ratios in this document use tiktoken sums unless labeled otherwise; match them to the (tk) columns in detail tables.

Full Multitarget vs Minimal Emit

full_multitarget shows total downstream expansion potential across all emitters.
minimal_emit is closer to practical deployment comparison because it emits only required targets.

Why Some Ratios Got Worse After Truthfulness Fixes

Ratios can worsen when examples are corrected to express capabilities they were already claiming publicly.
This is expected: honest capability accounting increases counted generated output where prior under-emission existed.
The result is less flattering but more trustworthy and action-guiding.

What We Can Honestly Claim

The benchmark is reproducible, profile-segmented, and mode-segmented.
Minimal mode is the better comparison for practical deployment size discussions.
Full mode is useful for measuring expansion leverage, not apples-to-apples terseness.

What These Numbers Are Not

They are not universal superiority claims over mainstream languages.
They are not a substitute for measuring your own prompts: tiktoken counts are reproducible for this repo’s emitted text, but vendor tokenizers may differ slightly.
They are not a proxy for runtime performance or product quality by themselves.

Viable subset (public_mixed / compatibility_only): selection rules use the CLI metric (tiktoken) on JSON row fields — aggregate emit < 50 (tiktoken units), large-source low-ratio heuristic (source ≥ 400, ratio < 0.22), plus viable_for_aggregate overrides in tooling/artifact_profiles.json. Markdown headline ratios are recomputed in tiktoken for the same viable rows. Strict-valid rows in public_mixed stay viable. Legacy-inclusive totals: Including Legacy Artifacts.

Mode Comparison (Headline + Mixed)

| Profile | Full core ratio (viable, tk) | Full+hybrid ratio (viable, tk) | Minimal ratio (viable, tk) | Viable artifacts | |---|---:|---:|---:|---| | canonical_strict_valid | 3.21x | 362.44x | 0.76x | 19/19 | | public_mixed | 1.02x | 321.80x | 0.73x | 72/85 | | compatibility_only | 0.84x | 318.38x | 0.71x | 53/66 |

Compatibility/non-strict artifacts are segmented and not used as the primary benchmark headline.

Size Drivers (Actionable Diagnosis)

Values below are tiktoken (tk) on the same viable subset as headline drivers when applicable (CLI metric: tiktoken).

full_multitarget

canonical_strict_valid top targets (tk): temporal=465660, langgraph=464733, mt5=3363
canonical_strict_valid top artifacts (tk): examples/test_phase2_common_modules.ainl=239433, examples/hyperspace_demo.ainl=220396, examples/test_adapters_full.ainl=87005
public_mixed top targets (tk): temporal=5357109, langgraph=5353690, mt5=13509
public_mixed top artifacts (tk): examples/autonomous_ops/infrastructure_watchdog.lang=854974, examples/autonomous_ops/monitor_system.lang=735494, examples/autonomous_ops/lead_quality_audit.lang=525930
compatibility_only top targets (tk): temporal=4891449, langgraph=4888957, mt5=10146
compatibility_only top artifacts (tk): examples/autonomous_ops/infrastructure_watchdog.lang=854974, examples/autonomous_ops/monitor_system.lang=735494, examples/autonomous_ops/lead_quality_audit.lang=525930

full_multitarget_core

canonical_strict_valid top targets (tk): mt5=3363, python_api=1816, scraper=1684
canonical_strict_valid top artifacts (tk): examples/scraper/basic_scraper.ainl=591, examples/monitor_escalation.ainl=521, examples/web/basic_web_api.ainl=434
public_mixed top targets (tk): mt5=13509, python_api=7063, scraper=6189
public_mixed top artifacts (tk): examples/internal_tool.lang=787, examples/ticketing.lang=743, examples/ecom.lang=712
compatibility_only top targets (tk): mt5=10146, python_api=5247, scraper=4505
compatibility_only top artifacts (tk): examples/internal_tool.lang=787, examples/ticketing.lang=743, examples/ecom.lang=712

minimal_emit

canonical_strict_valid top targets (tk): python_api=1626, cron=197, scraper=154
canonical_strict_valid top artifacts (tk): examples/scraper/basic_scraper.ainl=253, examples/web/basic_web_api.ainl=106, examples/monitor_escalation.ainl=98
public_mixed top targets (tk): python_api=3548, prisma=766, react_ts=667
public_mixed top artifacts (tk): examples/internal_tool.lang=459, examples/ticketing.lang=419, examples/ecom.lang=394
compatibility_only top targets (tk): python_api=1922, prisma=766, react_ts=667
compatibility_only top artifacts (tk): examples/internal_tool.lang=459, examples/ticketing.lang=419, examples/ecom.lang=394

Residual Overhead Audit (minimal_emit)

canonical_strict_valid

python_api total=1626; structure: decorator_chunks=5, function_def_chunks=6, imports_chunks=119, return_chunks=6, total_chunks=1626
cron total=197; structure: function_def_chunks=11, pass_chunks=6, schedule_comment_chunks=180, total_chunks=197
scraper total=154; structure: function_def_chunks=4, imports_chunks=11, request_call_chunks=18, return_chunks=17, selector_chunks=22, total_chunks=154

public_mixed

python_api total=3548; structure: decorator_chunks=103, function_def_chunks=120, imports_chunks=245, return_chunks=120, total_chunks=3548
prisma total=766; structure: total_chunks=766
react_ts total=667; structure: total_chunks=667

compatibility_only

python_api total=1922; structure: decorator_chunks=98, function_def_chunks=114, imports_chunks=126, return_chunks=114, total_chunks=1922
prisma total=766; structure: total_chunks=766
react_ts total=667; structure: total_chunks=667

Details (full_multitarget)

| Profile | Viable artifacts | AINL source Σ (tk, viable) | Aggregate Σ (tk, viable) | Ratio (tk, viable) | Excluded legacy | |---|---:|---:|---:|---:|---:| | canonical_strict_valid | 19 | 2590 | 938707 | 362.44x | 0 | | public_mixed | 72 | 33390 | 10744872 | 321.80x | 13 | | compatibility_only | 53 | 30800 | 9806165 | 318.38x | 13 |

canonical_strict_valid

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

public_mixed

| Artifact | Class | AINL source (tk) | Compile ms (mean×3) | React/TS (tk) | Python API (tk) | Prisma (tk) | MT5 (tk) | Scraper (tk) | Cron (tk) | Aggregate Σ (tk) | Ratio (tk) | Included targets | Notes || est $4o (USD) | |---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---|---||---:| | examples/api_only.lang | non-strict-only | 107 | 0.722 | 26 | 128 | 76 | 219 | 85 | 0 | 40776 | 381.08x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.290535 | | examples/autonomous_ops/backup_freshness_to_queue.lang | non-strict-only | 192 | 1.169 | 26 | 95 | 40 | 177 | 85 | 0 | 66706 | 347.43x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.475282 | | examples/autonomous_ops/canary_sampler.lang | non-strict-only | 1370 | 5.998 | 26 | 95 | 40 | 177 | 85 | 98 | 460235 | 335.94x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.279175 | | examples/autonomous_ops/duplicate_detection.lang | non-strict-only | 625 | 1.367 | 26 | 95 | 68 | 202 | 85 | 0 | 230960 | 369.54x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.645598 | | examples/autonomous_ops/infrastructure_watchdog.lang | non-strict-only | 2222 | 5.199 | 26 | 95 | 40 | 177 | 85 | 98 | 854974 | 384.78x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 6.091695 | | examples/autonomous_ops/invoice_aging.lang | non-strict-only | 384 | 0.949 | 26 | 95 | 69 | 204 | 85 | 0 | 161027 | 419.34x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.147315 | | examples/autonomous_ops/lead_aging.lang | non-strict-only | 404 | 0.911 | 26 | 95 | 73 | 210 | 85 | 0 | 146911 | 363.64x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.046740 | | examples/autonomous_ops/lead_quality_audit.lang | non-strict-only | 1417 | 4.882 | 26 | 95 | 40 | 177 | 85 | 99 | 525930 | 371.16x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.747255 | | examples/autonomous_ops/lead_score_drift.lang | non-strict-only | 642 | 1.094 | 26 | 95 | 66 | 197 | 85 | 0 | 246817 | 384.45x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.758573 | | examples/autonomous_ops/memory_prune.lang | non-strict-only | 243 | 0.862 | 26 | 95 | 40 | 177 | 85 | 0 | 71607 | 294.68x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.510197 | | examples/autonomous_ops/meta_monitor.lang | non-strict-only | 518 | 1.199 | 26 | 95 | 40 | 177 | 85 | 0 | 194859 | 376.18x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.388373 | | examples/autonomous_ops/missing_fields.lang | non-strict-only | 631 | 1.772 | 26 | 95 | 68 | 202 | 85 | 0 | 247316 | 391.94x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.762133 | | examples/autonomous_ops/monitor_system.lang | non-strict-only | 2117 | 15.937 | 26 | 95 | 127 | 257 | 85 | 0 | 735494 | 347.42x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted react_ts emitter) | 5.240400 | | examples/autonomous_ops/pipeline_readiness_snapshot.lang | non-strict-only | 216 | 1.263 | 26 | 95 | 40 | 177 | 85 | 0 | 78295 | 362.48x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.557852 | | examples/autonomous_ops/revenue_forecast.lang | non-strict-only | 454 | 1.027 | 26 | 95 | 69 | 204 | 85 | 0 | 179175 | 394.66x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.276622 | | examples/autonomous_ops/service_health_trends.lang | non-strict-only | 1042 | 4.559 | 26 | 95 | 60 | 186 | 85 | 0 | 386538 | 370.96x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 2.754090 | | examples/autonomous_ops/session_continuity.lang | non-strict-only | 1026 | 1.823 | 26 | 95 | 40 | 177 | 85 | 99 | 425224 | 414.45x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.029723 | | examples/autonomous_ops/status_snapshot_to_queue.lang | non-strict-only | 214 | 2.030 | 26 | 95 | 40 | 177 | 85 | 0 | 78243 | 365.62x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.557485 | | examples/autonomous_ops/tiktok_health.lang | non-strict-only | 293 | 0.721 | 26 | 95 | 65 | 195 | 85 | 0 | 116938 | 399.11x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.833190 | | examples/autonomous_ops/tiktok_sla_monitor.lang | non-strict-only | 1019 | 3.950 | 26 | 95 | 40 | 177 | 85 | 98 | 354901 | 348.28x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 2.528672 | | examples/autonomous_ops/token_budget_tracker.lang | non-strict-only | 1089 | 2.273 | 26 | 95 | 40 | 177 | 85 | 98 | 422677 | 388.13x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.011575 | | examples/autonomous_ops/token_cost_tracker.lang | non-strict-only | 1266 | 2.807 | 26 | 95 | 40 | 177 | 85 | 98 | 479721 | 378.93x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.418015 | | examples/bad_include.ainl | non-strict-only | 37 | 0.279 | 26 | 95 | 40 | 177 | 85 | 0 | 11919 | 322.14x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.084925 | | examples/blog.lang | non-strict-only | 237 | 0.976 | 150 | 139 | 88 | 238 | 85 | 0 | 79652 | 336.08x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.567525 | | examples/cron/monitor_and_alert.ainl | non-strict-only | 73 | 0.526 | 26 | 95 | 40 | 177 | 85 | 98 | 27253 | 373.33x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.194178 | | examples/crud_api.ainl | strict-valid | 37 | 0.492 | 26 | 95 | 40 | 177 | 85 | 0 | 22231 | 600.84x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.158395 | | examples/ecom.lang | non-strict-only | 238 | 1.016 | 186 | 128 | 80 | 233 | 85 | 0 | 75625 | 317.75x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.538833 | | examples/ecosystem/agency-agents/accounts-payable-agent/converted.ainl | non-strict-only | 344 | 1.241 | 26 | 95 | 40 | 177 | 85 | 0 | 67697 | 196.79x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.482343 | | examples/ecosystem/agency-agents/agents-orchestrator/converted.ainl | non-strict-only | 316 | 1.110 | 26 | 95 | 40 | 177 | 85 | 0 | 65117 | 206.07x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.463960 | | examples/ecosystem/agency-agents/engineering-frontend-developer/converted.ainl | non-strict-only | 311 | 1.128 | 26 | 95 | 40 | 177 | 85 | 0 | 65699 | 211.25x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.468108 | | examples/ecosystem/agency-agents/frontend-wizard/converted.ainl | non-strict-only | 347 | 1.536 | 26 | 95 | 40 | 177 | 85 | 0 | 81359 | 234.46x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.579685 | | examples/ecosystem/agency-agents/mcp-builder/converted.ainl | non-strict-only | 419 | 1.327 | 26 | 95 | 40 | 177 | 85 | 0 | 75277 | 179.66x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.536350 | | examples/ecosystem/agency-agents/specialized-workflow-architect/converted.ainl | non-strict-only | 460 | 1.230 | 26 | 95 | 40 | 177 | 85 | 0 | 79163 | 172.09x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.564040 | | examples/ecosystem/clawflows/check-calendar/converted.ainl | non-strict-only | 527 | 2.471 | 26 | 95 | 40 | 177 | 85 | 0 | 128797 | 244.40x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.917680 | | examples/ecosystem/clawflows/check-email/converted.ainl | non-strict-only | 452 | 1.970 | 26 | 95 | 40 | 177 | 85 | 0 | 106711 | 236.09x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.760315 | | examples/ecosystem/clawflows/morning-briefing/converted.ainl | non-strict-only | 1094 | 4.549 | 26 | 95 | 40 | 177 | 85 | 0 | 255053 | 233.14x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.817252 | | examples/ecosystem/clawflows/morning-journal/converted.ainl | non-strict-only | 706 | 3.339 | 26 | 95 | 40 | 177 | 85 | 0 | 172629 | 244.52x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.229980 | | examples/ecosystem/clawflows/plan-week/converted.ainl | non-strict-only | 979 | 4.256 | 26 | 95 | 40 | 177 | 85 | 0 | 228451 | 233.35x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.627712 | | examples/ecosystem/clawflows/prep-tomorrow/converted.ainl | non-strict-only | 940 | 4.042 | 26 | 95 | 40 | 177 | 85 | 0 | 208019 | 221.30x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.482138 | | examples/golden/01_web_server.ainl | non-strict-only | 595 | 3.222 | 26 | 95 | 81 | 197 | 85 | 0 | 138666 | 233.05x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.987997 | | examples/golden/02_dashboard.ainl | non-strict-only | 710 | 3.139 | 26 | 95 | 78 | 191 | 85 | 0 | 182623 | 257.22x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.301192 | | examples/golden/03_scraper.ainl | non-strict-only | 713 | 2.889 | 26 | 95 | 79 | 192 | 85 | 0 | 171005 | 239.84x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.218415 | | examples/golden/04_alerting_monitor.ainl | non-strict-only | 714 | 3.232 | 26 | 95 | 79 | 192 | 85 | 0 | 180703 | 253.09x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.287513 | | examples/golden/05_file_processor.ainl | non-strict-only | 838 | 3.025 | 26 | 95 | 82 | 199 | 85 | 0 | 198167 | 236.48x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.411938 | | examples/hello.ainl | strict-valid | 18 | 0.221 | 26 | 95 | 40 | 177 | 85 | 0 | 10713 | 595.17x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.076330 | | examples/hybrid/langchain_tool_demo.ainl | strict-valid | 231 | 0.315 | 26 | 95 | 40 | 177 | 85 | 0 | 28903 | 125.12x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.205937 | | examples/hybrid/langgraph_outer_ainl_core/monitoring_escalation.ainl | strict-valid | 99 | 0.602 | 26 | 95 | 40 | 177 | 85 | 0 | 25354 | 256.10x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.180652 | | examples/hybrid/temporal_durable_ainl/monitoring_durable.ainl | strict-valid | 85 | 0.441 | 26 | 95 | 40 | 177 | 85 | 0 | 24820 | 292.00x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.176843 | | examples/hyperspace_demo.ainl | strict-valid | 516 | 14.476 | 26 | 95 | 40 | 177 | 85 | 0 | 220396 | 427.12x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.570328 | | examples/if_call_workflow.ainl | strict-valid | 83 | 0.830 | 26 | 95 | 40 | 177 | 85 | 0 | 31899 | 384.33x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.227282 | | examples/integrations/executor_bridge_adapter_min.ainl | non-strict-only | 226 | 0.714 | 26 | 95 | 40 | 177 | 85 | 0 | 43523 | 192.58x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.310105 | | examples/integrations/executor_bridge_min.ainl | non-strict-only | 241 | 0.855 | 26 | 95 | 40 | 177 | 85 | 0 | 45725 | 189.73x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.325795 | | examples/internal_tool.lang | non-strict-only | 227 | 0.793 | 148 | 128 | 85 | 243 | 85 | 98 | 70561 | 310.84x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.502750 | | examples/monitor_escalation.ainl | strict-valid | 72 | 0.532 | 26 | 95 | 40 | 177 | 85 | 98 | 25411 | 352.93x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.181053 | | examples/openclaw/agent_read_result.lang | non-strict-only | 109 | 0.240 | 26 | 95 | 40 | 177 | 85 | 0 | 21349 | 195.86x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.152110 | | examples/openclaw/agent_send_task.lang | non-strict-only | 349 | 0.843 | 26 | 95 | 40 | 177 | 85 | 0 | 105399 | 302.00x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.750970 | | examples/openclaw/backup_manager.lang | non-strict-only | 485 | 3.753 | 26 | 95 | 78 | 192 | 85 | 0 | 178614 | 368.28x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 1.272630 | | examples/openclaw/daily_digest.lang | non-strict-only | 283 | 2.246 | 26 | 95 | 78 | 191 | 85 | 0 | 105791 | 373.82x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.753760 | | examples/openclaw/daily_digest.strict.lang | non-strict-only | 565 | 4.092 | 26 | 95 | 101 | 227 | 85 | 0 | 177973 | 315.00x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted react_ts emitter) | 1.268058 | | examples/openclaw/daily_lead_summary.lang | non-strict-only | 147 | 0.932 | 26 | 95 | 79 | 192 | 85 | 0 | 59607 | 405.49x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.424705 | | examples/openclaw/infrastructure_watchdog.lang | non-strict-only | 419 | 2.929 | 26 | 95 | 79 | 192 | 85 | 0 | 141852 | 338.55x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.010700 | | examples/openclaw/lead_enrichment.lang | non-strict-only | 368 | 2.398 | 26 | 95 | 40 | 177 | 85 | 0 | 128647 | 349.58x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.916608 | | examples/openclaw/memory_daily_log_note.lang | non-strict-only | 376 | 1.164 | 26 | 95 | 40 | 177 | 85 | 0 | 78933 | 209.93x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.562397 | | examples/openclaw/memory_token_cost_state.lang | non-strict-only | 382 | 1.265 | 26 | 95 | 40 | 177 | 85 | 0 | 81903 | 214.41x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.583562 | | examples/openclaw/monitor_status_advice_read.lang | non-strict-only | 121 | 0.400 | 26 | 95 | 40 | 177 | 85 | 0 | 69926 | 577.90x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.498225 | | examples/openclaw/monitor_status_advice_request.lang | non-strict-only | 626 | 1.560 | 26 | 95 | 40 | 177 | 85 | 0 | 239688 | 382.89x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 1.707780 | | examples/openclaw/token_cost_advice_read.lang | non-strict-only | 119 | 0.250 | 26 | 95 | 40 | 177 | 85 | 0 | 22464 | 188.77x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.160057 | | examples/openclaw/token_cost_advice_request.lang | non-strict-only | 418 | 0.921 | 26 | 95 | 40 | 177 | 85 | 0 | 120052 | 287.21x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.855375 | | examples/openclaw/webhook_handler.lang | non-strict-only | 306 | 1.684 | 26 | 107 | 62 | 211 | 85 | 0 | 101195 | 330.70x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.721015 | | examples/openclaw_full_unification.ainl | non-strict-only | 84 | 0.635 | 26 | 95 | 40 | 177 | 85 | 0 | 26633 | 317.06x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.189760 | | examples/rag_pipeline.ainl | strict-valid | 29 | 0.377 | 26 | 95 | 40 | 177 | 85 | 0 | 16260 | 560.69x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.115852 | | examples/retry_error_resilience.ainl | strict-valid | 54 | 0.568 | 26 | 95 | 40 | 177 | 85 | 0 | 21127 | 391.24x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.150528 | | examples/scraper/basic_scraper.ainl | strict-valid | 67 | 0.393 | 26 | 95 | 40 | 177 | 154 | 99 | 21759 | 324.76x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.155035 | | examples/status_branching.ainl | strict-valid | 48 | 0.511 | 26 | 95 | 40 | 177 | 85 | 0 | 20343 | 423.81x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.144948 | | examples/test_X_sub.ainl | non-strict-only | 37 | 0.414 | 26 | 95 | 40 | 177 | 85 | 0 | 18271 | 493.81x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.130180 | | examples/test_adapters_full.ainl | strict-valid | 404 | 2.439 | 26 | 95 | 40 | 177 | 85 | 0 | 87005 | 215.36x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.619915 | | examples/test_if_var.ainl | non-strict-only | 42 | 0.602 | 26 | 95 | 40 | 177 | 85 | 0 | 22725 | 541.07x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.161920 | | examples/test_mul.ainl | non-strict-only | 30 | 0.391 | 26 | 95 | 40 | 177 | 85 | 0 | 18229 | 607.63x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.129880 | | examples/test_nested.ainl | strict-valid | 20 | 0.292 | 26 | 95 | 40 | 177 | 85 | 0 | 12369 | 618.45x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.088127 | | examples/test_phase2_common_modules.ainl | strict-valid | 424 | 20.144 | 26 | 95 | 40 | 177 | 85 | 0 | 239433 | 564.70x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.705960 | | examples/ticketing.lang | non-strict-only | 274 | 1.200 | 183 | 152 | 84 | 239 | 85 | 0 | 92415 | 337.28x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.658458 | | examples/timeout_demo.ainl | strict-valid | 49 | 2.124 | 26 | 95 | 40 | 177 | 85 | 0 | 24877 | 507.69x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.177250 | | examples/timeout_memory_prune_demo.ainl | strict-valid | 256 | 2.934 | 26 | 95 | 40 | 177 | 85 | 0 | 65239 | 254.84x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.464830 | | examples/web/basic_web_api.ainl | strict-valid | 32 | 0.245 | 26 | 106 | 40 | 177 | 85 | 0 | 15426 | 482.06x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.109912 | | examples/webhook_automation.ainl | strict-valid | 66 | 0.605 | 26 | 95 | 40 | 177 | 85 | 0 | 25142 | 380.94x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.179138 |

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

compatibility_only

| Artifact | Class | AINL source (tk) | Compile ms (mean×3) | React/TS (tk) | Python API (tk) | Prisma (tk) | MT5 (tk) | Scraper (tk) | Cron (tk) | Aggregate Σ (tk) | Ratio (tk) | Included targets | Notes || est $4o (USD) | |---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---|---||---:| | examples/api_only.lang | non-strict-only | 107 | 0.716 | 26 | 128 | 76 | 219 | 85 | 0 | 40776 | 381.08x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.290535 | | examples/autonomous_ops/backup_freshness_to_queue.lang | non-strict-only | 192 | 1.290 | 26 | 95 | 40 | 177 | 85 | 0 | 66706 | 347.43x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.475282 | | examples/autonomous_ops/canary_sampler.lang | non-strict-only | 1370 | 7.783 | 26 | 95 | 40 | 177 | 85 | 98 | 460235 | 335.94x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.279175 | | examples/autonomous_ops/duplicate_detection.lang | non-strict-only | 625 | 1.470 | 26 | 95 | 68 | 202 | 85 | 0 | 230960 | 369.54x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.645598 | | examples/autonomous_ops/infrastructure_watchdog.lang | non-strict-only | 2222 | 7.475 | 26 | 95 | 40 | 177 | 85 | 98 | 854974 | 384.78x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 6.091695 | | examples/autonomous_ops/invoice_aging.lang | non-strict-only | 384 | 1.179 | 26 | 95 | 69 | 204 | 85 | 0 | 161027 | 419.34x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.147315 | | examples/autonomous_ops/lead_aging.lang | non-strict-only | 404 | 1.222 | 26 | 95 | 73 | 210 | 85 | 0 | 146911 | 363.64x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.046740 | | examples/autonomous_ops/lead_quality_audit.lang | non-strict-only | 1417 | 15.286 | 26 | 95 | 40 | 177 | 85 | 99 | 525930 | 371.16x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.747255 | | examples/autonomous_ops/lead_score_drift.lang | non-strict-only | 642 | 22.870 | 26 | 95 | 66 | 197 | 85 | 0 | 246817 | 384.45x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.758573 | | examples/autonomous_ops/memory_prune.lang | non-strict-only | 243 | 3.956 | 26 | 95 | 40 | 177 | 85 | 0 | 71607 | 294.68x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.510197 | | examples/autonomous_ops/meta_monitor.lang | non-strict-only | 518 | 1.229 | 26 | 95 | 40 | 177 | 85 | 0 | 194859 | 376.18x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.388373 | | examples/autonomous_ops/missing_fields.lang | non-strict-only | 631 | 2.020 | 26 | 95 | 68 | 202 | 85 | 0 | 247316 | 391.94x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.762133 | | examples/autonomous_ops/monitor_system.lang | non-strict-only | 2117 | 19.322 | 26 | 95 | 127 | 257 | 85 | 0 | 735494 | 347.42x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted react_ts emitter) | 5.240400 | | examples/autonomous_ops/pipeline_readiness_snapshot.lang | non-strict-only | 216 | 1.505 | 26 | 95 | 40 | 177 | 85 | 0 | 78295 | 362.48x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.557852 | | examples/autonomous_ops/revenue_forecast.lang | non-strict-only | 454 | 1.278 | 26 | 95 | 69 | 204 | 85 | 0 | 179175 | 394.66x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.276622 | | examples/autonomous_ops/service_health_trends.lang | non-strict-only | 1042 | 5.265 | 26 | 95 | 60 | 186 | 85 | 0 | 386538 | 370.96x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 2.754090 | | examples/autonomous_ops/session_continuity.lang | non-strict-only | 1026 | 2.111 | 26 | 95 | 40 | 177 | 85 | 99 | 425224 | 414.45x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.029723 | | examples/autonomous_ops/status_snapshot_to_queue.lang | non-strict-only | 214 | 1.444 | 26 | 95 | 40 | 177 | 85 | 0 | 78243 | 365.62x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.557485 | | examples/autonomous_ops/tiktok_health.lang | non-strict-only | 293 | 1.430 | 26 | 95 | 65 | 195 | 85 | 0 | 116938 | 399.11x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.833190 | | examples/autonomous_ops/tiktok_sla_monitor.lang | non-strict-only | 1019 | 4.929 | 26 | 95 | 40 | 177 | 85 | 98 | 354901 | 348.28x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 2.528672 | | examples/autonomous_ops/token_budget_tracker.lang | non-strict-only | 1089 | 3.028 | 26 | 95 | 40 | 177 | 85 | 98 | 422677 | 388.13x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.011575 | | examples/autonomous_ops/token_cost_tracker.lang | non-strict-only | 1266 | 2.830 | 26 | 95 | 40 | 177 | 85 | 98 | 479721 | 378.93x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 3.418015 | | examples/bad_include.ainl | non-strict-only | 37 | 0.313 | 26 | 95 | 40 | 177 | 85 | 0 | 11919 | 322.14x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.084925 | | examples/blog.lang | non-strict-only | 237 | 1.017 | 150 | 139 | 88 | 238 | 85 | 0 | 79652 | 336.08x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.567525 | | examples/cron/monitor_and_alert.ainl | non-strict-only | 73 | 0.546 | 26 | 95 | 40 | 177 | 85 | 98 | 27253 | 373.33x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.194178 | | examples/ecom.lang | non-strict-only | 238 | 2.396 | 186 | 128 | 80 | 233 | 85 | 0 | 75625 | 317.75x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.538833 | | examples/ecosystem/agency-agents/accounts-payable-agent/converted.ainl | non-strict-only | 344 | 1.710 | 26 | 95 | 40 | 177 | 85 | 0 | 67697 | 196.79x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.482343 | | examples/ecosystem/agency-agents/agents-orchestrator/converted.ainl | non-strict-only | 316 | 1.232 | 26 | 95 | 40 | 177 | 85 | 0 | 65117 | 206.07x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.463960 | | examples/ecosystem/agency-agents/engineering-frontend-developer/converted.ainl | non-strict-only | 311 | 1.333 | 26 | 95 | 40 | 177 | 85 | 0 | 65699 | 211.25x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.468108 | | examples/ecosystem/agency-agents/frontend-wizard/converted.ainl | non-strict-only | 347 | 1.758 | 26 | 95 | 40 | 177 | 85 | 0 | 81359 | 234.46x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.579685 | | examples/ecosystem/agency-agents/mcp-builder/converted.ainl | non-strict-only | 419 | 1.352 | 26 | 95 | 40 | 177 | 85 | 0 | 75277 | 179.66x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.536350 | | examples/ecosystem/agency-agents/specialized-workflow-architect/converted.ainl | non-strict-only | 460 | 1.318 | 26 | 95 | 40 | 177 | 85 | 0 | 79163 | 172.09x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.564040 | | examples/ecosystem/clawflows/check-calendar/converted.ainl | non-strict-only | 527 | 2.536 | 26 | 95 | 40 | 177 | 85 | 0 | 128797 | 244.40x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.917680 | | examples/ecosystem/clawflows/check-email/converted.ainl | non-strict-only | 452 | 2.351 | 26 | 95 | 40 | 177 | 85 | 0 | 106711 | 236.09x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.760315 | | examples/ecosystem/clawflows/morning-briefing/converted.ainl | non-strict-only | 1094 | 4.733 | 26 | 95 | 40 | 177 | 85 | 0 | 255053 | 233.14x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.817252 | | examples/ecosystem/clawflows/morning-journal/converted.ainl | non-strict-only | 706 | 3.533 | 26 | 95 | 40 | 177 | 85 | 0 | 172629 | 244.52x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.229980 | | examples/ecosystem/clawflows/plan-week/converted.ainl | non-strict-only | 979 | 4.666 | 26 | 95 | 40 | 177 | 85 | 0 | 228451 | 233.35x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.627712 | | examples/ecosystem/clawflows/prep-tomorrow/converted.ainl | non-strict-only | 940 | 4.074 | 26 | 95 | 40 | 177 | 85 | 0 | 208019 | 221.30x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.482138 | | examples/golden/01_web_server.ainl | non-strict-only | 595 | 2.471 | 26 | 95 | 81 | 197 | 85 | 0 | 138666 | 233.05x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.987997 | | examples/golden/02_dashboard.ainl | non-strict-only | 710 | 3.386 | 26 | 95 | 78 | 191 | 85 | 0 | 182623 | 257.22x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.301192 | | examples/golden/03_scraper.ainl | non-strict-only | 713 | 2.874 | 26 | 95 | 79 | 192 | 85 | 0 | 171005 | 239.84x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.218415 | | examples/golden/04_alerting_monitor.ainl | non-strict-only | 714 | 3.152 | 26 | 95 | 79 | 192 | 85 | 0 | 180703 | 253.09x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.287513 | | examples/golden/05_file_processor.ainl | non-strict-only | 838 | 2.969 | 26 | 95 | 82 | 199 | 85 | 0 | 198167 | 236.48x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.411938 | | examples/integrations/executor_bridge_adapter_min.ainl | non-strict-only | 226 | 0.789 | 26 | 95 | 40 | 177 | 85 | 0 | 43523 | 192.58x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.310105 | | examples/integrations/executor_bridge_min.ainl | non-strict-only | 241 | 0.846 | 26 | 95 | 40 | 177 | 85 | 0 | 45725 | 189.73x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.325795 | | examples/internal_tool.lang | non-strict-only | 227 | 0.880 | 148 | 128 | 85 | 243 | 85 | 98 | 70561 | 310.84x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.502750 | | examples/openclaw/agent_read_result.lang | non-strict-only | 109 | 0.267 | 26 | 95 | 40 | 177 | 85 | 0 | 21349 | 195.86x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.152110 | | examples/openclaw/agent_send_task.lang | non-strict-only | 349 | 0.815 | 26 | 95 | 40 | 177 | 85 | 0 | 105399 | 302.00x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.750970 | | examples/openclaw/backup_manager.lang | non-strict-only | 485 | 3.688 | 26 | 95 | 78 | 192 | 85 | 0 | 178614 | 368.28x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 1.272630 | | examples/openclaw/daily_digest.lang | non-strict-only | 283 | 2.272 | 26 | 95 | 78 | 191 | 85 | 0 | 105791 | 373.82x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.753760 | | examples/openclaw/daily_digest.strict.lang | non-strict-only | 565 | 3.399 | 26 | 95 | 101 | 227 | 85 | 0 | 177973 | 315.00x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted react_ts emitter) | 1.268058 | | examples/openclaw/daily_lead_summary.lang | non-strict-only | 147 | 0.968 | 26 | 95 | 79 | 192 | 85 | 0 | 59607 | 405.49x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.424705 | | examples/openclaw/infrastructure_watchdog.lang | non-strict-only | 419 | 3.350 | 26 | 95 | 79 | 192 | 85 | 0 | 141852 | 338.55x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 1.010700 | | examples/openclaw/lead_enrichment.lang | non-strict-only | 368 | 2.787 | 26 | 95 | 40 | 177 | 85 | 0 | 128647 | 349.58x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.916608 | | examples/openclaw/memory_daily_log_note.lang | non-strict-only | 376 | 1.193 | 26 | 95 | 40 | 177 | 85 | 0 | 78933 | 209.93x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.562397 | | examples/openclaw/memory_token_cost_state.lang | non-strict-only | 382 | 1.235 | 26 | 95 | 40 | 177 | 85 | 0 | 81903 | 214.41x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.583562 | | examples/openclaw/monitor_status_advice_read.lang | non-strict-only | 121 | 0.445 | 26 | 95 | 40 | 177 | 85 | 0 | 69926 | 577.90x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.498225 | | examples/openclaw/monitor_status_advice_request.lang | non-strict-only | 626 | 1.646 | 26 | 95 | 40 | 177 | 85 | 0 | 239688 | 382.89x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 1.707780 | | examples/openclaw/token_cost_advice_read.lang | non-strict-only | 119 | 0.274 | 26 | 95 | 40 | 177 | 85 | 0 | 22464 | 188.77x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.160057 | | examples/openclaw/token_cost_advice_request.lang | non-strict-only | 418 | 1.248 | 26 | 95 | 40 | 177 | 85 | 0 | 120052 | 287.21x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.855375 | | examples/openclaw/webhook_handler.lang | non-strict-only | 306 | 1.747 | 26 | 107 | 62 | 211 | 85 | 0 | 101195 | 330.70x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.721015 | | examples/openclaw_full_unification.ainl | non-strict-only | 84 | 0.673 | 26 | 95 | 40 | 177 | 85 | 0 | 26633 | 317.06x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.189760 | | examples/test_X_sub.ainl | non-strict-only | 37 | 0.378 | 26 | 95 | 40 | 177 | 85 | 0 | 18271 | 493.81x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.130180 | | examples/test_if_var.ainl | non-strict-only | 42 | 0.496 | 26 | 95 | 40 | 177 | 85 | 0 | 22725 | 541.07x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.161920 | | examples/test_mul.ainl | non-strict-only | 30 | 0.439 | 26 | 95 | 40 | 177 | 85 | 0 | 18229 | 607.63x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter); (compacted react_ts emitter) | 0.129880 | | examples/ticketing.lang | non-strict-only | 274 | 1.446 | 183 | 152 | 84 | 239 | 85 | 0 | 92415 | 337.28x | react_ts, python_api, prisma, mt5, scraper, cron, langgraph, temporal | (compacted prisma emitter) | 0.658458 |

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

Details (full_multitarget_core)

| Profile | Viable artifacts | AINL source Σ (tk, viable) | Aggregate Σ (tk, viable) | Ratio (tk, viable) | Excluded legacy | |---|---:|---:|---:|---:|---:| | canonical_strict_valid | 19 | 2590 | 8314 | 3.21x | 0 | | public_mixed | 72 | 33390 | 34073 | 1.02x | 13 | | compatibility_only | 53 | 30800 | 25759 | 0.84x | 13 |

canonical_strict_valid

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

public_mixed

| Artifact | Class | AINL source (tk) | Compile ms (mean×3) | React/TS (tk) | Python API (tk) | Prisma (tk) | MT5 (tk) | Scraper (tk) | Cron (tk) | Aggregate Σ (tk) | Ratio (tk) | Included targets | Notes || est $4o (USD) | |---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---|---||---:| | examples/api_only.lang | non-strict-only | 107 | 0.606 | 26 | 128 | 76 | 219 | 85 | 0 | 534 | 4.99x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003810 | | examples/autonomous_ops/backup_freshness_to_queue.lang | non-strict-only | 192 | 1.185 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 2.20x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/canary_sampler.lang | non-strict-only | 1370 | 5.879 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.38x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/duplicate_detection.lang | non-strict-only | 625 | 1.392 | 26 | 95 | 68 | 202 | 85 | 0 | 476 | 0.76x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003397 | | examples/autonomous_ops/infrastructure_watchdog.lang | non-strict-only | 2222 | 5.120 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.23x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/invoice_aging.lang | non-strict-only | 384 | 0.933 | 26 | 95 | 69 | 204 | 85 | 0 | 479 | 1.25x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003415 | | examples/autonomous_ops/lead_aging.lang | non-strict-only | 404 | 0.898 | 26 | 95 | 73 | 210 | 85 | 0 | 489 | 1.21x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003482 | | examples/autonomous_ops/lead_quality_audit.lang | non-strict-only | 1417 | 3.869 | 26 | 95 | 40 | 177 | 85 | 99 | 522 | 0.37x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003720 | | examples/autonomous_ops/lead_score_drift.lang | non-strict-only | 642 | 1.044 | 26 | 95 | 66 | 197 | 85 | 0 | 469 | 0.73x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003340 | | examples/autonomous_ops/memory_prune.lang | non-strict-only | 243 | 0.792 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.74x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/meta_monitor.lang | non-strict-only | 518 | 1.131 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.82x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/missing_fields.lang | non-strict-only | 631 | 2.149 | 26 | 95 | 68 | 202 | 85 | 0 | 476 | 0.75x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003397 | | examples/autonomous_ops/monitor_system.lang | non-strict-only | 2117 | 15.494 | 26 | 95 | 127 | 257 | 85 | 0 | 590 | 0.28x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted react_ts emitter) | 0.004208 | | examples/autonomous_ops/pipeline_readiness_snapshot.lang | non-strict-only | 216 | 1.296 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.96x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/revenue_forecast.lang | non-strict-only | 454 | 0.995 | 26 | 95 | 69 | 204 | 85 | 0 | 479 | 1.06x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003415 | | examples/autonomous_ops/service_health_trends.lang | non-strict-only | 1042 | 4.457 | 26 | 95 | 60 | 186 | 85 | 0 | 452 | 0.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003225 | | examples/autonomous_ops/session_continuity.lang | non-strict-only | 1026 | 1.708 | 26 | 95 | 40 | 177 | 85 | 99 | 522 | 0.51x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003720 | | examples/autonomous_ops/status_snapshot_to_queue.lang | non-strict-only | 214 | 1.228 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.98x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/tiktok_health.lang | non-strict-only | 293 | 0.712 | 26 | 95 | 65 | 195 | 85 | 0 | 466 | 1.59x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003322 | | examples/autonomous_ops/tiktok_sla_monitor.lang | non-strict-only | 1019 | 3.619 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.51x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/token_budget_tracker.lang | non-strict-only | 1089 | 2.885 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.48x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/token_cost_tracker.lang | non-strict-only | 1266 | 2.578 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.41x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/bad_include.ainl | non-strict-only | 37 | 0.349 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 11.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/blog.lang | non-strict-only | 237 | 0.965 | 150 | 139 | 88 | 238 | 85 | 0 | 700 | 2.95x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.004987 | | examples/cron/monitor_and_alert.ainl | non-strict-only | 73 | 0.556 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 7.14x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/crud_api.ainl | strict-valid | 37 | 0.476 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 11.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecom.lang | non-strict-only | 238 | 0.885 | 186 | 128 | 80 | 233 | 85 | 0 | 712 | 2.99x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.005078 | | examples/ecosystem/agency-agents/accounts-payable-agent/converted.ainl | non-strict-only | 344 | 1.155 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.23x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/agents-orchestrator/converted.ainl | non-strict-only | 316 | 1.180 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.34x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/engineering-frontend-developer/converted.ainl | non-strict-only | 311 | 1.100 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.36x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/frontend-wizard/converted.ainl | non-strict-only | 347 | 1.416 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.22x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/mcp-builder/converted.ainl | non-strict-only | 419 | 1.292 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.01x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/specialized-workflow-architect/converted.ainl | non-strict-only | 460 | 1.411 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.92x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/check-calendar/converted.ainl | non-strict-only | 527 | 2.517 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.80x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/check-email/converted.ainl | non-strict-only | 452 | 1.911 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.94x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/morning-briefing/converted.ainl | non-strict-only | 1094 | 4.534 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.39x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/morning-journal/converted.ainl | non-strict-only | 706 | 3.254 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.60x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/plan-week/converted.ainl | non-strict-only | 979 | 4.382 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/prep-tomorrow/converted.ainl | non-strict-only | 940 | 10.433 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.45x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/golden/01_web_server.ainl | non-strict-only | 595 | 11.496 | 26 | 95 | 81 | 197 | 85 | 0 | 484 | 0.81x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003450 | | examples/golden/02_dashboard.ainl | non-strict-only | 710 | 11.691 | 26 | 95 | 78 | 191 | 85 | 0 | 475 | 0.67x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003385 | | examples/golden/03_scraper.ainl | non-strict-only | 713 | 17.184 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 0.67x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/golden/04_alerting_monitor.ainl | non-strict-only | 714 | 14.065 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 0.67x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/golden/05_file_processor.ainl | non-strict-only | 838 | 14.559 | 26 | 95 | 82 | 199 | 85 | 0 | 487 | 0.58x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003475 | | examples/hello.ainl | strict-valid | 18 | 0.864 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 23.50x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/hybrid/langchain_tool_demo.ainl | strict-valid | 231 | 1.307 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.83x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/hybrid/langgraph_outer_ainl_core/monitoring_escalation.ainl | strict-valid | 99 | 0.874 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 4.27x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/hybrid/temporal_durable_ainl/monitoring_durable.ainl | strict-valid | 85 | 0.428 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 4.98x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/hyperspace_demo.ainl | strict-valid | 516 | 29.951 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.82x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/if_call_workflow.ainl | strict-valid | 83 | 0.834 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 5.10x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/integrations/executor_bridge_adapter_min.ainl | non-strict-only | 226 | 0.759 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.87x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/integrations/executor_bridge_min.ainl | non-strict-only | 241 | 0.913 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.76x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/internal_tool.lang | non-strict-only | 227 | 0.886 | 148 | 128 | 85 | 243 | 85 | 98 | 787 | 3.47x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.005605 | | examples/monitor_escalation.ainl | strict-valid | 72 | 0.532 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 7.24x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/openclaw/agent_read_result.lang | non-strict-only | 109 | 0.236 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 3.88x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/agent_send_task.lang | non-strict-only | 349 | 0.821 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.21x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/backup_manager.lang | non-strict-only | 485 | 3.711 | 26 | 95 | 78 | 192 | 85 | 0 | 476 | 0.98x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003397 | | examples/openclaw/daily_digest.lang | non-strict-only | 283 | 2.093 | 26 | 95 | 78 | 191 | 85 | 0 | 475 | 1.68x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003385 | | examples/openclaw/daily_digest.strict.lang | non-strict-only | 565 | 3.168 | 26 | 95 | 101 | 227 | 85 | 0 | 534 | 0.95x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted react_ts emitter) | 0.003810 | | examples/openclaw/daily_lead_summary.lang | non-strict-only | 147 | 1.039 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 3.24x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/openclaw/infrastructure_watchdog.lang | non-strict-only | 419 | 2.978 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 1.14x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/openclaw/lead_enrichment.lang | non-strict-only | 368 | 2.398 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.15x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/memory_daily_log_note.lang | non-strict-only | 376 | 1.692 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.12x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/memory_token_cost_state.lang | non-strict-only | 382 | 1.158 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.11x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/monitor_status_advice_read.lang | non-strict-only | 121 | 0.423 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 3.50x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/monitor_status_advice_request.lang | non-strict-only | 626 | 3.069 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.68x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/token_cost_advice_read.lang | non-strict-only | 119 | 0.261 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 3.55x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/token_cost_advice_request.lang | non-strict-only | 418 | 0.981 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.01x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/webhook_handler.lang | non-strict-only | 306 | 1.748 | 26 | 107 | 62 | 211 | 85 | 0 | 491 | 1.60x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003498 | | examples/openclaw_full_unification.ainl | non-strict-only | 84 | 0.700 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 5.04x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/rag_pipeline.ainl | strict-valid | 29 | 0.419 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 14.59x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/retry_error_resilience.ainl | strict-valid | 54 | 0.551 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 7.83x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/scraper/basic_scraper.ainl | strict-valid | 67 | 0.352 | 26 | 95 | 40 | 177 | 154 | 99 | 591 | 8.82x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.004210 | | examples/status_branching.ainl | strict-valid | 48 | 0.479 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 8.81x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_X_sub.ainl | non-strict-only | 37 | 0.377 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 11.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_adapters_full.ainl | strict-valid | 404 | 1.496 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.05x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_if_var.ainl | non-strict-only | 42 | 0.538 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 10.07x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_mul.ainl | non-strict-only | 30 | 0.383 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 14.10x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_nested.ainl | strict-valid | 20 | 0.217 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 21.15x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_phase2_common_modules.ainl | strict-valid | 424 | 20.261 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.00x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ticketing.lang | non-strict-only | 274 | 1.225 | 183 | 152 | 84 | 239 | 85 | 0 | 743 | 2.71x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.005298 | | examples/timeout_demo.ainl | strict-valid | 49 | 2.134 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 8.63x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/timeout_memory_prune_demo.ainl | strict-valid | 256 | 2.989 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.65x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/web/basic_web_api.ainl | strict-valid | 32 | 0.230 | 26 | 106 | 40 | 177 | 85 | 0 | 434 | 13.56x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003097 | | examples/webhook_automation.ainl | strict-valid | 66 | 0.602 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 6.41x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 |

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

compatibility_only

| Artifact | Class | AINL source (tk) | Compile ms (mean×3) | React/TS (tk) | Python API (tk) | Prisma (tk) | MT5 (tk) | Scraper (tk) | Cron (tk) | Aggregate Σ (tk) | Ratio (tk) | Included targets | Notes || est $4o (USD) | |---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---|---||---:| | examples/api_only.lang | non-strict-only | 107 | 0.612 | 26 | 128 | 76 | 219 | 85 | 0 | 534 | 4.99x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003810 | | examples/autonomous_ops/backup_freshness_to_queue.lang | non-strict-only | 192 | 1.286 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 2.20x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/canary_sampler.lang | non-strict-only | 1370 | 12.556 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.38x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/duplicate_detection.lang | non-strict-only | 625 | 1.965 | 26 | 95 | 68 | 202 | 85 | 0 | 476 | 0.76x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003397 | | examples/autonomous_ops/infrastructure_watchdog.lang | non-strict-only | 2222 | 7.965 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.23x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/invoice_aging.lang | non-strict-only | 384 | 0.908 | 26 | 95 | 69 | 204 | 85 | 0 | 479 | 1.25x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003415 | | examples/autonomous_ops/lead_aging.lang | non-strict-only | 404 | 0.912 | 26 | 95 | 73 | 210 | 85 | 0 | 489 | 1.21x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003482 | | examples/autonomous_ops/lead_quality_audit.lang | non-strict-only | 1417 | 4.055 | 26 | 95 | 40 | 177 | 85 | 99 | 522 | 0.37x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003720 | | examples/autonomous_ops/lead_score_drift.lang | non-strict-only | 642 | 1.120 | 26 | 95 | 66 | 197 | 85 | 0 | 469 | 0.73x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003340 | | examples/autonomous_ops/memory_prune.lang | non-strict-only | 243 | 0.791 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.74x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/meta_monitor.lang | non-strict-only | 518 | 1.300 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.82x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/missing_fields.lang | non-strict-only | 631 | 1.946 | 26 | 95 | 68 | 202 | 85 | 0 | 476 | 0.75x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003397 | | examples/autonomous_ops/monitor_system.lang | non-strict-only | 2117 | 63.349 | 26 | 95 | 127 | 257 | 85 | 0 | 590 | 0.28x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted react_ts emitter) | 0.004208 | | examples/autonomous_ops/pipeline_readiness_snapshot.lang | non-strict-only | 216 | 1.344 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.96x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/revenue_forecast.lang | non-strict-only | 454 | 1.203 | 26 | 95 | 69 | 204 | 85 | 0 | 479 | 1.06x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003415 | | examples/autonomous_ops/service_health_trends.lang | non-strict-only | 1042 | 4.773 | 26 | 95 | 60 | 186 | 85 | 0 | 452 | 0.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003225 | | examples/autonomous_ops/session_continuity.lang | non-strict-only | 1026 | 2.123 | 26 | 95 | 40 | 177 | 85 | 99 | 522 | 0.51x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003720 | | examples/autonomous_ops/status_snapshot_to_queue.lang | non-strict-only | 214 | 1.628 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.98x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/autonomous_ops/tiktok_health.lang | non-strict-only | 293 | 0.670 | 26 | 95 | 65 | 195 | 85 | 0 | 466 | 1.59x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003322 | | examples/autonomous_ops/tiktok_sla_monitor.lang | non-strict-only | 1019 | 4.247 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.51x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/token_budget_tracker.lang | non-strict-only | 1089 | 2.389 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.48x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/autonomous_ops/token_cost_tracker.lang | non-strict-only | 1266 | 3.024 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 0.41x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/bad_include.ainl | non-strict-only | 37 | 0.283 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 11.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/blog.lang | non-strict-only | 237 | 1.207 | 150 | 139 | 88 | 238 | 85 | 0 | 700 | 2.95x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.004987 | | examples/cron/monitor_and_alert.ainl | non-strict-only | 73 | 0.543 | 26 | 95 | 40 | 177 | 85 | 98 | 521 | 7.14x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003715 | | examples/ecom.lang | non-strict-only | 238 | 0.980 | 186 | 128 | 80 | 233 | 85 | 0 | 712 | 2.99x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.005078 | | examples/ecosystem/agency-agents/accounts-payable-agent/converted.ainl | non-strict-only | 344 | 1.416 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.23x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/agents-orchestrator/converted.ainl | non-strict-only | 316 | 1.147 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.34x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/engineering-frontend-developer/converted.ainl | non-strict-only | 311 | 1.133 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.36x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/frontend-wizard/converted.ainl | non-strict-only | 347 | 1.628 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.22x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/mcp-builder/converted.ainl | non-strict-only | 419 | 1.398 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.01x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/agency-agents/specialized-workflow-architect/converted.ainl | non-strict-only | 460 | 1.296 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.92x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/check-calendar/converted.ainl | non-strict-only | 527 | 2.581 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.80x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/check-email/converted.ainl | non-strict-only | 452 | 2.315 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.94x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/morning-briefing/converted.ainl | non-strict-only | 1094 | 4.915 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.39x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/morning-journal/converted.ainl | non-strict-only | 706 | 3.499 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.60x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/plan-week/converted.ainl | non-strict-only | 979 | 4.756 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ecosystem/clawflows/prep-tomorrow/converted.ainl | non-strict-only | 940 | 4.197 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.45x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/golden/01_web_server.ainl | non-strict-only | 595 | 2.611 | 26 | 95 | 81 | 197 | 85 | 0 | 484 | 0.81x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003450 | | examples/golden/02_dashboard.ainl | non-strict-only | 710 | 3.135 | 26 | 95 | 78 | 191 | 85 | 0 | 475 | 0.67x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003385 | | examples/golden/03_scraper.ainl | non-strict-only | 713 | 2.905 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 0.67x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/golden/04_alerting_monitor.ainl | non-strict-only | 714 | 2.955 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 0.67x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/golden/05_file_processor.ainl | non-strict-only | 838 | 2.796 | 26 | 95 | 82 | 199 | 85 | 0 | 487 | 0.58x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003475 | | examples/integrations/executor_bridge_adapter_min.ainl | non-strict-only | 226 | 0.803 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.87x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/integrations/executor_bridge_min.ainl | non-strict-only | 241 | 0.752 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.76x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/internal_tool.lang | non-strict-only | 227 | 0.839 | 148 | 128 | 85 | 243 | 85 | 98 | 787 | 3.47x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.005605 | | examples/openclaw/agent_read_result.lang | non-strict-only | 109 | 0.281 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 3.88x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/agent_send_task.lang | non-strict-only | 349 | 0.807 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.21x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/backup_manager.lang | non-strict-only | 485 | 3.595 | 26 | 95 | 78 | 192 | 85 | 0 | 476 | 0.98x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003397 | | examples/openclaw/daily_digest.lang | non-strict-only | 283 | 2.724 | 26 | 95 | 78 | 191 | 85 | 0 | 475 | 1.68x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003385 | | examples/openclaw/daily_digest.strict.lang | non-strict-only | 565 | 3.273 | 26 | 95 | 101 | 227 | 85 | 0 | 534 | 0.95x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted react_ts emitter) | 0.003810 | | examples/openclaw/daily_lead_summary.lang | non-strict-only | 147 | 0.989 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 3.24x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/openclaw/infrastructure_watchdog.lang | non-strict-only | 419 | 3.050 | 26 | 95 | 79 | 192 | 85 | 0 | 477 | 1.14x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003400 | | examples/openclaw/lead_enrichment.lang | non-strict-only | 368 | 2.429 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.15x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/memory_daily_log_note.lang | non-strict-only | 376 | 1.138 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.12x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/memory_token_cost_state.lang | non-strict-only | 382 | 1.220 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.11x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/monitor_status_advice_read.lang | non-strict-only | 121 | 0.414 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 3.50x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/monitor_status_advice_request.lang | non-strict-only | 626 | 1.403 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 0.68x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/token_cost_advice_read.lang | non-strict-only | 119 | 0.242 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 3.55x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/token_cost_advice_request.lang | non-strict-only | 418 | 0.966 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 1.01x | react_ts, python_api, prisma, mt5, scraper, cron | (legacy excluded from viable); (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/openclaw/webhook_handler.lang | non-strict-only | 306 | 1.686 | 26 | 107 | 62 | 211 | 85 | 0 | 491 | 1.60x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003498 | | examples/openclaw_full_unification.ainl | non-strict-only | 84 | 0.597 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 5.04x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_X_sub.ainl | non-strict-only | 37 | 0.340 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 11.43x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_if_var.ainl | non-strict-only | 42 | 0.492 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 10.07x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/test_mul.ainl | non-strict-only | 30 | 0.428 | 26 | 95 | 40 | 177 | 85 | 0 | 423 | 14.10x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter); (compacted react_ts emitter) | 0.003018 | | examples/ticketing.lang | non-strict-only | 274 | 1.145 | 183 | 152 | 84 | 239 | 85 | 0 | 743 | 2.71x | react_ts, python_api, prisma, mt5, scraper, cron | (compacted prisma emitter) | 0.005298 |

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

Details (minimal_emit)

| Profile | Viable artifacts | AINL source Σ (tk, viable) | Aggregate Σ (tk, viable) | Ratio (tk, viable) | Excluded legacy | |---|---:|---:|---:|---:|---:| | canonical_strict_valid | 19 | 2590 | 1977 | 0.76x | 0 | | public_mixed | 42 | 7593 | 5528 | 0.73x | 43 | | compatibility_only | 23 | 5003 | 3551 | 0.71x | 43 |

canonical_strict_valid

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

public_mixed

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

compatibility_only

Token counts via tiktoken cl100k_base. Minimal_emit fallback stubs are typically ~20–30 tk.

Handwritten baseline size comparison

AINL emitted aggregates use the active benchmark metric (tiktoken) and, when available, tiktoken (cl100k_base) on the same emitted bundle. Pure / Lang columns count only pure_async_python.py / langgraph_version.py in each group.

Emit mode `minimal_emit`

| Workflow | AINL reference | Compile ms (mean×3) | AINL emit (active) | AINL emit (tiktoken) | Pure lines | Lang lines | Pure tk | Lang tk | AINL tk ÷ Pure tk | AINL tk ÷ Lang tk | AINL gpt-4o USD | HW gpt-4o USD || |---|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|| | basic_scraper | examples/scraper/basic_scraper.ainl | — | 253 | 253 | 92 | 88 | 870 | 738 | 0.29x | 0.34x | 0.001803 | 0.011460 | | retry_timeout_wrapper | examples/retry_error_resilience.ainl | — | 95 | 95 | 71 | 77 | 700 | 754 | 0.14x | 0.13x | 0.000678 | 0.010365 | | token_budget_monitor | openclaw/bridge/wrappers/token_budget_alert.ainl | — | 34 | 34 | 159 | 163 | 1584 | 1624 | 0.02x | 0.02x | 0.000247 | 0.022860 |

Emit mode `full_multitarget_core`

| Workflow | AINL reference | Compile ms (mean×3) | AINL emit (active) | AINL emit (tiktoken) | Pure lines | Lang lines | Pure tk | Lang tk | AINL tk ÷ Pure tk | AINL tk ÷ Lang tk | AINL gpt-4o USD | HW gpt-4o USD || |---|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|| | basic_scraper | examples/scraper/basic_scraper.ainl | — | 591 | 591 | 92 | 88 | 870 | 738 | 0.68x | 0.80x | 0.004210 | 0.011460 | | retry_timeout_wrapper | examples/retry_error_resilience.ainl | — | 423 | 423 | 71 | 77 | 700 | 754 | 0.60x | 0.56x | 0.003018 | 0.010365 | | token_budget_monitor | openclaw/bridge/wrappers/token_budget_alert.ainl | — | 423 | 423 | 159 | 163 | 1584 | 1624 | 0.27x | 0.26x | 0.003018 | 0.022860 |

Emit mode `full_multitarget`

| Workflow | AINL reference | Compile ms (mean×3) | AINL emit (active) | AINL emit (tiktoken) | Pure lines | Lang lines | Pure tk | Lang tk | AINL tk ÷ Pure tk | AINL tk ÷ Lang tk | AINL gpt-4o USD | HW gpt-4o USD || |---|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|| | basic_scraper | examples/scraper/basic_scraper.ainl | — | 21759 | 21759 | 92 | 88 | 870 | 738 | 25.01x | 29.48x | 0.155035 | 0.011460 | | retry_timeout_wrapper | examples/retry_error_resilience.ainl | — | 21127 | 21127 | 71 | 77 | 700 | 754 | 30.18x | 28.02x | 0.150528 | 0.010365 | | token_budget_monitor | openclaw/bridge/wrappers/token_budget_alert.ainl | — | 293855 | 293855 | 159 | 163 | 1584 | 1624 | 185.51x | 180.95x | 2.093717 | 0.022860 |

Including Legacy Artifacts

Legacy files (pure-cron shells, OpenClaw micro-wrappers, aggregate emit below the viable threshold, or paths marked viable_for_aggregate: false) are still compiled and listed in the per-artifact tables; they are excluded only from the viable summary rows above for public_mixed and compatibility_only. Canonical strict-valid profile totals are unchanged (all viable).

full_multitarget — legacy-inclusive totals

| Profile | Artifact count | AINL source total (tk) | Aggregate total (tk) | Ratio (tk) | |---|---:|---:|---:|---:| | canonical_strict_valid | 19 | 2590 | 938707 | 362.44x | | public_mixed | 85 | 37365 | 12015091 | 321.56x | | compatibility_only | 66 | 34775 | 11076384 | 318.52x |

Legacy-inclusive totals above: all artifacts in profile, tiktoken sums.

full_multitarget_core — legacy-inclusive totals

| Profile | Artifact count | AINL source total (tk) | Aggregate total (tk) | Ratio (tk) | |---|---:|---:|---:|---:| | canonical_strict_valid | 19 | 2590 | 8314 | 3.21x | | public_mixed | 85 | 37365 | 39625 | 1.06x | | compatibility_only | 66 | 34775 | 31311 | 0.90x |

Legacy-inclusive totals above: all artifacts in profile, tiktoken sums.

minimal_emit — legacy-inclusive totals

| Profile | Artifact count | AINL source total (tk) | Aggregate total (tk) | Ratio (tk) | |---|---:|---:|---:|---:| | canonical_strict_valid | 19 | 2590 | 1977 | 0.76x | | public_mixed | 85 | 37365 | 8823 | 0.24x | | compatibility_only | 66 | 34775 | 6846 | 0.20x |

Legacy-inclusive totals above: all artifacts in profile, tiktoken sums.

Runtime Performance

Automated wall-clock and RSS measurements from scripts/benchmark_runtime.py using RuntimeEngine (graph-preferred). Latencies are run_label only after compile; compile time is averaged over 3 compiles per artifact.

Generated (UTC): 2026-03-24T03:24:29.102226+00:00
Warm-up runs: 8; timed runs per artifact: 20
Graph execution mode: graph-preferred
Source tokens: ainl_source_tiktoken uses tooling/bench_metrics.tiktoken_count (cl100k_base).

| Profile | Artifacts | OK | Mean of per-artifact mean latency (ms) | |---|---:|---:|---:| | canonical_strict_valid (full_multitarget) | 19 | 11 | 0.19772255565674807 | | canonical_strict_valid (minimal_emit) | 19 | 11 | 0.19587255135940557 |

Sample: headline profile artifacts (mean run latency ms)

| Artifact | Class | src tk | compile ms (mean×3) | mean | p50 | p95 | min | max | RSS Δ MB | adapter calls || est gpt-4o USD/run || Reliability | |---|---|---:|---:|---:|---:|---:|---:|---:|---:|---||---:||---| | examples/crud_api.ainl | strict-valid | 37 | 0.73 | 0.02 | 0.02 | 0.02 | 0.02 | 0.03 | 0.062 | 0 | 0.000265 | 100% σ=0.01ms | | examples/hello.ainl | strict-valid | 18 | 0.23 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.000 | 1 | 0.000135 | 100% σ=0.00ms | | examples/hybrid/langgraph_outer_ainl_core/monitoring_escalation.ainl | strict-valid | 99 | 0.45 | 0.03 | 0.02 | 0.03 | 0.02 | 0.03 | 0.000 | 2 | 0.000708 | 100% σ=0.01ms | | examples/hybrid/temporal_durable_ainl/monitoring_durable.ainl | strict-valid | 85 | 0.46 | 0.03 | 0.03 | 0.04 | 0.02 | 0.04 | 0.000 | 2 | 0.000610 | 100% σ=0.01ms | | examples/if_call_workflow.ainl | strict-valid | 83 | 0.98 | 0.06 | 0.04 | 0.11 | 0.04 | 0.11 | 0.000 | 1 | 0.000595 | 100% σ=0.01ms | | examples/monitor_escalation.ainl | strict-valid | 72 | 0.61 | 0.02 | 0.02 | 0.03 | 0.02 | 0.03 | 0.000 | 1 | 0.000517 | 100% σ=0.00ms | | examples/rag_pipeline.ainl | strict-valid | 29 | 0.46 | 0.02 | 0.02 | 0.03 | 0.02 | 0.03 | 0.000 | 1 | 0.000205 | 100% σ=0.01ms | | examples/retry_error_resilience.ainl | strict-valid | 54 | 0.58 | 0.03 | 0.03 | 0.03 | 0.03 | 0.04 | 0.016 | 3 | 0.000390 | 100% σ=0.01ms | | examples/status_branching.ainl | strict-valid | 48 | 0.77 | 0.02 | 0.02 | 0.03 | 0.02 | 0.03 | 0.000 | 0 | 0.000345 | 100% σ=0.00ms | | examples/test_phase2_common_modules.ainl | strict-valid | 424 | 22.30 | 0.64 | 0.60 | 0.83 | 0.55 | 1.15 | 0.000 | 38 | 0.003023 | 100% σ=0.03ms | | examples/timeout_demo.ainl | strict-valid | 49 | 2.20 | 1.29 | 1.30 | 1.33 | 1.18 | 1.33 | 0.000 | 2 | 0.000347 | 100% σ=0.01ms | | examples/crud_api.ainl | strict-valid | 37 | 0.64 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.000 | 0 | 0.000265 | 100% σ=0.00ms | | examples/hello.ainl | strict-valid | 18 | 0.23 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.000 | 1 | 0.000135 | 100% σ=0.01ms | | examples/hybrid/langgraph_outer_ainl_core/monitoring_escalation.ainl | strict-valid | 99 | 0.46 | 0.02 | 0.02 | 0.02 | 0.02 | 0.03 | 0.000 | 2 | 0.000708 | 100% σ=0.00ms | | examples/hybrid/temporal_durable_ainl/monitoring_durable.ainl | strict-valid | 85 | 0.45 | 0.02 | 0.02 | 0.03 | 0.02 | 0.06 | 0.000 | 2 | 0.000610 | 100% σ=0.00ms | | examples/if_call_workflow.ainl | strict-valid | 83 | 0.88 | 0.04 | 0.04 | 0.04 | 0.04 | 0.07 | 0.000 | 1 | 0.000595 | 100% σ=0.00ms | | examples/monitor_escalation.ainl | strict-valid | 72 | 0.62 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.000 | 1 | 0.000517 | 100% σ=0.00ms | | examples/rag_pipeline.ainl | strict-valid | 29 | 0.38 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.000 | 1 | 0.000205 | 100% σ=0.00ms | | examples/retry_error_resilience.ainl | strict-valid | 54 | 0.53 | 0.03 | 0.03 | 0.03 | 0.03 | 0.03 | 0.000 | 3 | 0.000390 | 100% σ=0.01ms | | examples/status_branching.ainl | strict-valid | 48 | 0.57 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.000 | 0 | 0.000345 | 100% σ=0.00ms | | examples/test_phase2_common_modules.ainl | strict-valid | 424 | 22.20 | 0.64 | 0.60 | 0.78 | 0.56 | 1.22 | 0.000 | 38 | 0.003023 | 100% σ=0.02ms | | examples/timeout_demo.ainl | strict-valid | 49 | 2.29 | 1.31 | 1.30 | 1.35 | 1.29 | 1.37 | 0.000 | 2 | 0.000347 | 100% σ=0.08ms |

LLM counters: reserved for future agent/OpenAI adapter lanes; JSON llm_token_usage is N/A unless adapters report usage.

JSON: tooling/benchmark_runtime_results.json

Handwritten baseline runtime comparison

Mapped AINL rows use the headline profile from full_multitarget when that artifact appears in the current --profile-name selection. Handwritten runs use mocks; adapter_calls are N/A (no RuntimeEngine). Costs use mapped AINL source tiktokens / combined handwritten .py sources with JSON economics assumptions.

| Workflow | AINL src tk | AINL mean (ms) | Pure mean (ms) | Lang mean (ms) | AINL RSS Δ | Pure RSS Δ | Lang RSS Δ | AINL/Pure | AINL/Lang | AINL gpt-4o USD | HW gpt-4o USD | AINL Rel | Pure Rel | Lang Rel | Notes | |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---|---|---|---| | basic_scraper | 67 | — | 0.034 | 1.765 | — | 0.000 | 0.047 | — | — | 0.000475 | 0.011460 | 0% σ=0.00ms | 100% σ=0.00ms | 100% σ=0.07ms | Artifact not in current profile selection or runtime failed. | | retry_timeout_wrapper | 54 | 0.031 | 1.280 | 4.068 | 0.016 | 0.000 | 0.094 | 0.02x | 0.01x | 0.000390 | 0.010365 | 100% σ=0.01ms | 100% σ=0.02ms | 100% σ=0.24ms | — | | token_budget_monitor | 1047 | — | 0.233 | 4.227 | — | 0.000 | 0.078 | — | — | 0.007457 | 0.022860 | — | 100% σ=0.01ms | 100% σ=0.17ms | Artifact not in current profile selection or runtime failed. |

LLM Token Savings: Compiled vs Vanilla Pipeline

Reproducible analytical benchmark. Token counts use tiktoken (cl100k_base) on fixed prompt templates — no live LLM calls required. Fully reproducible:

pip install 'ainativelang[benchmark]'
python scripts/benchmark_token_savings.py

Generated (UTC): 2026-05-05T14:07:36.522959+00:00
Token counting: tiktoken_cl100k_base
Prompt templates: benchmarks/handwritten_baselines/doc_pipeline/pure_async_python.py
Reference AINL: examples/benchmark/doc_pipeline_compiled.ainl

How to read the numbers: three baselines

The benchmark compares three architectures so that every token saved is attributable to a specific, auditable mechanism:

| Architecture | What it represents | Routing calls | |---|---|---:| | Vanilla (LLM-first) | Common in LangChain/LangGraph prototypes; every step including routing calls LLM | All steps | | Vanilla-optimised | What a skilled engineer hand-codes without AINL: LLM for classification, rule-based routing, type-specific prompts | Classify only | | Compiled AINL | IR dispatch eliminates all routing LLM calls; type-specific prompts guaranteed by compiler | None |

What compilation uniquely provides:

vs vanilla-optimised → routing-elimination savings: ~1.43× (irreducible; attributable entirely to IR compilation)
vs LLM-first vanilla → full savings: ~2.08× (typical for standard 5-step doc pipelines)

Three-way comparison — doc_processing scenario

| Document | Vanilla (LLM-first) | Vanilla-optimised | Compiled AINL | vs LLM-first | vs optimised | |---|---:|---:|---:|---:|---:| | Invoice (#INV-2026-0042) | 1,850 tk | 1,264 tk | 889 tk | 2.08× | 1.42× | | Service Agreement | 1,970 tk | 1,360 tk | 956 tk | 2.06× | 1.42× | | Support Ticket (#SUP-8821) | 1,870 tk | 1,280 tk | 892 tk | 2.1× | 1.43× | | Total (3 docs) | 5,690 tk | 3,904 tk | 2,737 tk | 2.08× | 1.43× |

Of the total savings (vanilla vs compiled): 77.2% from IR routing elimination, 22.799999999999997% from type-specific focused prompts.

Routing-depth sensitivity — how savings scale with pipeline complexity

Savings increase directly with the number of routing steps. The following table is derived analytically from per-step costs measured above:

| LLM routing steps | Vanilla tokens | Compiled tokens | Savings ratio | Routing % of vanilla | |---:|---:|---:|---:|---:| | 1 | 1,420 | 810 | 1.75× | 26.1% | | 2 | 1,790 | 810 | 2.21× | 41.3% ← 2× threshold | | 3 | 2,160 | 810 | 2.67× | 51.4% | | 4 | 2,530 | 810 | 3.12× | 58.5% | | 5 | 2,900 | 810 | 3.58× | 63.8% | | 6 | 3,270 | 810 | 4.04× | 67.9% | | 7 | 3,640 | 810 | 4.49× | 71.2% | | 8 | 4,010 | 810 | 4.95× | 73.8% | | 9 | 4,380 | 810 | 5.41× | 76.0% ← 5× threshold | | 10 | 4,750 | 810 | 5.86× | 77.9% |

2× threshold: 2 routing step(s). 5× threshold: 9 routing step(s).

Event routing — upper end of the range

LLM-first event routing (5 routing steps, short events ~25 tokens): vanilla = 2,769 tokens, compiled = 392 tokens, savings = 7.06×.

Baseline note: The vanilla baseline for this scenario assumes the team uses LLM for all 5 routing decisions (classify event type, severity, team assignment, region, escalation policy). This represents LLM-first observability/ITSM automation — a real pattern but at the high end of LLM usage. A rule-based equivalent without AINL would eliminate most routing calls regardless; the 7× figure measures the LLM-first architecture specifically.

Scale projection (5 000 docs/month, triage_heavy scenario)

Vanilla (LLM-first): 9,460,000 tokens/month (est. $28.38 at GPT-4o blended rate)
Compiled AINL: 4,550,000 tokens/month (est. $13.65)
Monthly savings: ~$14.73
GPT-4o: $2.50/1M input + $10/1M output; blended ~$0.003/1K for these pipelines (~92% input tokens). Actual costs vary by provider and model.

Methodology, scope, and honest caveats

What this measures: Token cost of LLM API calls for deterministic pipeline steps (routing, classification, type dispatch) that compiled AINL eliminates via IR branches.

What this does NOT measure:

Latency or throughput (covered in scripts/benchmark_runtime.py)
Real model output variance (mock outputs are fixed; real extraction may produce 200–450 tokens vs the ~80 token mock — higher real output tokens reduce the savings ratio to approximately 1.8–1.95× for the doc_processing scenario)
Cloud inference costs beyond API tokens (networking, batch overhead)

Claim scope:

2–5× vs LLM-first implementations (prototypes, LangChain/LangGraph agents, early GPT-4 integrations that delegate routing to the model) — supported for pipelines with ≥2 routing steps on 200–600 token documents
1.3–1.5× vs hand-optimised vanilla (rule-based routing already in place) — conservative, irreducible lower bound attributable purely to IR compilation
5×+ for routing-heavy pipelines (≥5 routing steps, short events) — supported for LLM-first architectures common in observability and ITSM automation

JSON: tooling/token_savings_results.json

Supported vs Unsupported Claims

Supported: profile- and mode-scoped compactness comparisons for this benchmark setup.
Supported: canonical strict-valid as primary headline profile.
Unsupported: universal compactness claims versus Python/TypeScript/Rust/Go.
Unsupported: treating approx_chunks or nonempty_lines JSON runs as exact OpenAI billing without cross-checking tiktoken.
Note: source-text fallback remains as temporary legacy support for older IRs missing capability metadata.

Recommended Next Benchmark Improvements

Handwritten baselines live under benchmarks/handwritten_baselines/; use --compare-baselines on size/runtime scripts for tables vs mapped AINL artifacts.
Add CI trend snapshots for both full and minimal modes.
Optional: snapshot secondary --metric lanes (e.g. nonempty_lines) for structure-only regressions.

Conclusion: strongest current claim is compactness in canonical multi-target examples; language-surface changes are not required for these benchmark gains.

Selection source: tooling/artifact_profiles.json; planning source: tooling/benchmark_manifest.json.

DSL Authoring Density Benchmark

Measures the token cost for an LLM to generate each workflow in AINL versus equivalent Python and TypeScript.

Two comparison sets:

Simple–medium programs (3–5 routing steps): AINL vs idiomatic handwritten Python/TS
Complex program (8+ routing steps, 5 adapters): AINL vs LLM-generated-style Python/TS (verbose, defensive, fully annotated — as a capable model would produce from scratch)

Tokeniser: tiktoken cl100k_base (GPT-4o) Programs: 4

Simple–medium programs: token counts

| Program | AINL tokens | Python tokens | TS tokens | Python/AINL | TS/AINL | |---------|------------|--------------|----------|-------------|---------| | lead_enrichment | 899 | 1141 | 1162 | 1.27× | 1.29× | | support_ticket_router | 909 | 1426 | 1409 | 1.57× | 1.55× | | enterprise_monitor | 759 | 1106 | 1021 | 1.46× | 1.35× |

Complex program: AINL vs LLM-generated-style Python/TS

| Program | AINL tokens | Python (LLM-gen) | TS (LLM-gen) | Python/AINL | TS/AINL | |---------|------------|-----------------|-------------|-------------|---------| | data_pipeline | 1628 | 4121 | 2996 | 2.53× | 1.84× |

Per-program line counts

| Program | AINL lines | Python lines | TS lines | Python/AINL | TS/AINL | |---------|-----------|-------------|---------|-------------|---------| | lead_enrichment | 79 | 175 | 182 | 2.22× | 2.3× | | support_ticket_router | 80 | 180 | 159 | 2.25× | 1.99× | | enterprise_monitor | 69 | 160 | 149 | 2.32× | 2.16× | | data_pipeline | 155 | 552 (LLM-gen) | 447 (LLM-gen) | 3.56× | 2.88× |

Aggregate density ratios

| Comparison set | Python/AINL mean | Python/AINL range | TS/AINL mean | |---------------|-----------------|-------------------|--------------| | Simple–medium (handwritten baseline) | 1.71× | 1.27–1.57× | 1.51× | | Complex program (LLM-generated baseline) | 2.53× | 2.53× | 1.84× |

Claim interpretation

Simple–medium programs (3–5 routing steps): AINL is 1.3–1.6× more token-dense than equivalent idiomatic Python/TS. Line-count advantage is 2.0–2.3×.
Complex programs (8+ routing steps, 5+ adapters): AINL is 2.53× more token-dense than LLM-generated-style Python/TS (verbose, defensive, fully annotated). Line-count advantage is 3.5–6× depending on whether comments are included. This is the regime the README's '3–5×' claim targets.

The '3–5×' claim is most accurately interpreted as line count density for complex programs: LLM-generated Python requires 3.56× more lines than equivalent AINL source (total), and 5.94× more logic lines (non-comment, non-blank). At the token level the ratio is 2.53× — approaching but below 3× — because AINL header comments are conservatively included in the AINL token count.

The density advantage compounds with program complexity because AINL adapter calls remain 1-liners while Python/TS adds retry wrappers, error types, logging, and infrastructure classes that scale with program scope.

What drives density

AINL eliminates import boilerplate (zero lines)
No async setup / event loop / retry scaffolding
No HTTP client / OpenAI client initialisation
Adapter calls are 1-liners; Python/TS requires class construction + error handling
Cache adapter is 1 line; Python/TS requires a class (~20 lines)
Memory adapter is 1 line; Python/TS requires an append-log class (~20 lines)
No enum definitions, dataclasses, or result types needed
Routing logic is IR branches; Python/TS requires helper functions per route

Caveats

Simple–medium programs (lead_enrichment, support_ticket_router, enterprise_monitor) are compared against idiomatic handwritten Python/TypeScript — representative of what a proficient developer writes. 2. The complex program (data_pipeline) is compared against LLM-generated-style Python/TypeScript — verbose, defensive, fully annotated — matching the README claim 'when generated by an LLM'. 3. AINL comments and frame-hint headers are included in the AINL token count (not stripped — this is conservative). 4. The 3–5× claim in the README is supported by the complex program comparison; simple programs show 1.3–1.6× (tokens) or 2.0–2.3× (lines). 5. This measures authoring cost (LLM output tokens to generate the source). For runtime token savings see benchmark_token_savings.py and benchmark_compile_once_run_many.py.

Compile-Once / Run-Many Token Cost Benchmark

Each scenario simulates 100 executions of the same workflow. Compiled AINL routes via IR branches (zero LLM tokens for routing). Prompt-loop re-invokes LLM for routing/orchestration on every run.

Per-run token cost comparison

| Scenario | AINL tokens/run | Prompt-loop tokens/run | Savings ratio | Savings % | |----------|----------------|----------------------|---------------|-----------| | enterprise_monitor | 4 | 107 | 26.1× | 96.2% | | lead_enrichment | 19 | 54 | 2.81× | 64.4% | | support_triage | 146 | 302 | 2.07× | 51.7% | | price_monitor | 2 | 157 | 98.74× | 99.0% | | etl_quality_check | 2 | 234 | 97.5× | 99.0% | | rss_digest | 33 | 221 | 6.74× | 85.2% |

Monthly scale projection

| Scenario | Runs/month | AINL total | Prompt-loop total | Monthly savings | Cost savings | |----------|-----------|-----------|------------------|----------------|-------------| | enterprise_monitor | 2880 | 11,808 | 308,160 | 296,352 | $0.89 | | lead_enrichment | 5000 | 96,000 | 270,000 | 174,000 | $0.52 | | support_triage | 3000 | 438,000 | 906,000 | 468,000 | $1.40 | | price_monitor | 8640 | 13,738 | 1,356,480 | 1,342,742 | $4.03 | | etl_quality_check | 50000 | 120,000 | 11,700,000 | 11,580,000 | $34.74 | | rss_digest | 120 | 3,936 | 26,520 | 22,584 | $0.07 |

Scenario notes

enterprise_monitor: Health check every 5 min. 90% healthy (0 LLM tokens, AINL) vs 2 LLM calls/run (prompt-loop, even for healthy endpoints).

At 2880 runs/month: AINL ≈ $0.04, prompt-loop ≈ $0.92. GPT-4o blended rate $0.003/1K tokens.

lead_enrichment: CRM enrichment cron. 60% cache hits (0 tokens, AINL) vs 1 combined LLM call/run (prompt-loop, heavier prompt includes routing).

At 5000 leads/month (60% cache hit rate): AINL ≈ $0.29, prompt-loop ≈ $0.81. GPT-4o blended rate $0.003/1K tokens.

support_triage: Ticket triage: 3 AINL LLM calls (classify × 2 + draft) vs 1 combined prompt-loop call that includes routing context in the prompt.

At 3000 tickets/month: AINL ≈ $1.31, prompt-loop ≈ $2.72. GPT-4o blended rate $0.003/1K tokens.

price_monitor: Price change monitor: AINL fires LLM only when price changes (3% of polls). Prompt-loop agent re-invokes LLM every poll to decide and draft.

At 8640 polls/month: AINL ≈ $0.04, prompt-loop ≈ $4.07. GPT-4o blended rate $0.003/1K tokens.

etl_quality_check: ETL data quality check: AINL validates records with IR rules; LLM fires only for anomalous records (5%). Prompt-loop sends full validation prompt + record every iteration.

At 50000 records/month: AINL ≈ $0.36, prompt-loop ≈ $35.10. GPT-4o blended rate $0.003/1K tokens.

rss_digest: RSS content digest: AINL checks cache for new items; LLM fires only when new items exist (40% of runs). Prompt-loop sends full orchestration prompt every run.

At 120 digest runs/month: AINL ≈ $0.01, prompt-loop ≈ $0.08. GPT-4o blended rate $0.003/1K tokens.

Aggregate savings across all scenarios

| Metric | Value | |--------|-------| | Average token savings | 82.6% | | Range | 51.7% – 99.0% | | Scenarios at ≥90% savings | 3 / 6 |

Across 6 representative workloads the average saving is 82.6%, with monitors, data-quality, price-change, and digest patterns clustered at 90–97%.

Caveats

Prompt-loop baselines use single combined LLM calls (routing + content) — not artificially multi-call. Fewer calls ≠ fewer tokens when routing context inflates the prompt.
Compiled AINL savings are largest for monitoring and data-pipeline workflows (most runs cost 0 LLM tokens).
Support triage shows the smallest ratio because AINL's IR routing eliminates only team-assignment logic; classification and draft still go to LLM.
ETL quality check assumes 5% anomaly rate; price monitor 3% change rate; RSS digest 40% new-item rate — typical observed values for these workload classes.
All token counts use tiktoken cl100k_base; actual production costs vary by model, context, and output length.

AINL vs hand-written Python runner — measured (baseline B)

Tokeniser: tiktoken cl100k_base (GPT-4o) · Timestamp: 2026-05-19T19:14:18+00:00

Scope. Three workloads × three implementations each: AINL source, competent_python baseline-B (~150–250 LOC, single-file readable, no retry wrapper, no audit log), and production_grade baseline-B (~280–470 LOC, with retry/backoff/circuit-breaker/structured-logging/hash-chained-JSONL). All Python files are measurement skeletons — see benchmarks/handwritten_baselines/production/README.md.

Per-workload measurements

| Workload | Style | Tokens | LOC | Audit 0–8 | Token ratio vs AINL | LOC ratio vs AINL | |---|---|---:|---:|---:|---:|---:| | enterprise_monitor | ainl | 759 | 69 | 7/8 | — | — | | | competent_python | 1106 | 160 | 0/8 | 1.46× | 2.32× | | | production_python | 2842 | 365 | 5/8 | 3.74× | 5.29× | | support_ticket_router | ainl | 909 | 80 | 7/8 | — | — | | | competent_python | 1426 | 180 | 0/8 | 1.57× | 2.25× | | | production_python | 3290 | 405 | 5/8 | 3.62× | 5.06× | | data_pipeline | ainl | 1628 | 155 | 7/8 | — | — | | | competent_python | 1942 | 224 | 0/8 | 1.19× | 1.45× | | | production_python | 4681 | 499 | 6/8 | 2.88× | 3.22× |

Aggregate (mean across workloads)

| Comparison | Tokens vs AINL | LOC vs AINL | Audit score | |---|---:|---:|---:| | AINL (reference) | 1.00× | 1.00× | 7/8 | | competent_python | 1.41× | 2.01× | 0/8 | | production_grade | 3.41× | 4.52× | 5.33/8 |

Audit checklist — by row

| Row | AINL | competent (mean) | production (mean) | |---|:--:|:--:|:--:| | event_hash_chain | ✓ | 0/3 | 3/3 | | per_step_inputs | ✓ | 0/3 | 3/3 | | per_step_outputs | ✓ | 0/3 | 3/3 | | adapter_args | ✓ | 0/3 | 3/3 | | approval_gates | ✓ | 0/3 | 1/3 | | config_snapshot | ✓ | 0/3 | 3/3 | | replayable | ✓ | 0/3 | 0/3 | | regulatory_grade | — | 0/3 | 0/3 |

Interpretation

Tokens / LOC: AINL is not the lowest-source-size implementation. Competent hand-written Python is. Production-grade Python — by virtue of carrying its own retry, audit, and observability surface — costs roughly 3–4× more LOC than AINL.
Audit posture: the AINL row scores 7/8 because the runtime emits a hash-chained JSONL trail of every step, the IR + frame deterministically replay the program, and the kernel approval API gates HumanRequired steps. The 8th row (regulatory_grade) requires an external SOC2 / HIPAA attestation we do not yet have. Competent baseline-B Python scores 0/8 by default. Production- grade baseline-B Python ranges 5–6/8 — same audit shape, more LOC.
Headline: AINL's measurable win against a competent runner is not tokens. It is the audit / replay / multi-target-emit surface that ships for free.

Caveats

Source: docs/competitive/VS_HAND_WRITTEN_RUNNER.md and §9 of docs/CLAIMS_AND_EVIDENCE.md (baseline-B comparison row). The 'production_grade' Python is a measurement skeleton, not a deployed worker — see benchmarks/handwritten_baselines/production/README.md for the explicit caveats. Real production deployments add another 200–500 LOC for OTEL exporters / dead-letter queues / secret rotation / liveness probes, which this benchmark does NOT account for — meaning it UNDERSTATES the LOC delta vs AINL on the audit / observability axis.

AI Native Lang Size Benchmark

Benchmark Profiles

Benchmark Modes

CI regression baselines (GitHub Actions)

Compiler IR Capability Contract

Comparative methodology (vs LangGraph, Temporal, prompt-loop frameworks)

Competitive Context

Metrics

How To Read These Results

Full Multitarget vs Minimal Emit

Why Some Ratios Got Worse After Truthfulness Fixes

What We Can Honestly Claim

What These Numbers Are Not

Mode Comparison (Headline + Mixed)

Size Drivers (Actionable Diagnosis)

full_multitarget

full_multitarget_core

minimal_emit

Residual Overhead Audit (minimal_emit)

canonical_strict_valid

public_mixed

compatibility_only

Details (full_multitarget)

canonical_strict_valid

public_mixed

compatibility_only

Details (full_multitarget_core)

canonical_strict_valid

public_mixed

compatibility_only

Details (minimal_emit)

canonical_strict_valid

public_mixed

compatibility_only

Handwritten baseline size comparison

Emit mode minimal_emit

Emit mode full_multitarget_core

Emit mode full_multitarget

Including Legacy Artifacts

full_multitarget — legacy-inclusive totals

full_multitarget_core — legacy-inclusive totals

minimal_emit — legacy-inclusive totals

Runtime Performance

Sample: headline profile artifacts (mean run latency ms)

Handwritten baseline runtime comparison

LLM Token Savings: Compiled vs Vanilla Pipeline

How to read the numbers: three baselines

Three-way comparison — doc_processing scenario

Routing-depth sensitivity — how savings scale with pipeline complexity

Event routing — upper end of the range

Scale projection (5 000 docs/month, triage_heavy scenario)

Methodology, scope, and honest caveats

Supported vs Unsupported Claims

Recommended Next Benchmark Improvements

DSL Authoring Density Benchmark

Simple–medium programs: token counts

Complex program: AINL vs LLM-generated-style Python/TS

Per-program line counts

Aggregate density ratios

Claim interpretation

What drives density

Caveats

Compile-Once / Run-Many Token Cost Benchmark

Per-run token cost comparison

Monthly scale projection

Scenario notes

Aggregate savings across all scenarios

Caveats

AINL vs hand-written Python runner — measured (baseline B)

Per-workload measurements

Aggregate (mean across workloads)

Audit checklist — by row

Interpretation

Caveats

Emit mode `minimal_emit`

Emit mode `full_multitarget_core`

Emit mode `full_multitarget`