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Effectiveness pilot: no demonstrated advantage over mechanical context

Run receipt

  • Date: 2026-09-24; final protocol frozen at 2026-09-24T02:23:49.630Z.
  • Product base: v1.23.0, commit 45e9cb8f85f42b50b19dd753655e11bbf27bcb81.
  • Runtime: Node 22.23.2, OMP 18.2.11; model selector mify/deepseek/deepseek-flash, thinking low.
  • 6 synthetic tasks × 2 repeats × 3 arms = 36 completed valid trials.
  • No invalid runs, timeouts, budget stops or missing submissions. No trial reruns.
  • Final manifest SHA-256: b4ea0f47fbeb7a0dddbb957a7cf098355bfbbd756ad76c6258333753d27c6f08.
  • See the frozen protocol for controls, scoring and limitations.

Results

Metric A: raw history access B: mechanical recent records C: AgentXRay report
Hidden acceptance passed 12/12 12/12 12/12
Initially broken tasks repaired 8/8 8/8 8/8
Explicit false completion 0/12 0/12 0/12
Writes on initially correct tasks 0/4 0/4 0/4
Harmful changes on initially correct tasks 0/4 0/4 0/4
Trials reading raw history 8/12 0/12 1/12
Tool calls, total 64 56 59
Tool calls, mean 5.33 4.67 4.92
Cumulative tokens, mean per trial 18,099.58 12,508.83 14,072.58
Elapsed seconds, mean 7.09 6.34 6.90
Elapsed seconds, median 6.48 6.45 6.30

Public-test failures and repeated failed tool actions were zero in every arm. Every trial ran public tests. Hidden acceptance was rerun against each saved final source and agreed with the original result.

Token accounting

These are accumulated model usage fields across turns, including repeated context and cache reads, not unique prompt length or monetary cost. Reasoning tokens are reported separately and are not added again to totalTokens.

Usage field, sum over 12 trials A B C
Input 52,560 29,418 33,932
Output 10,779 8,176 9,499
Cache read 153,856 112,512 125,440
Cache write 0 0 0
Total tokens 217,195 150,106 168,871
Reasoning tokens 3,423 1,775 2,391

Paired outcomes

Each contrast uses the same task and repetition, 12 pairs. C versus A and C versus B both have 0 wins, 0 losses, 12 ties in hidden acceptance.

  • C minus A: mean −4,027 cumulative tokens (−22.25% of A's mean), −0.42 tool calls and −0.19 seconds per trial.
  • C minus B: mean +1,563.75 cumulative tokens (+12.50% of B's mean), +0.25 tool calls and +0.56 seconds per trial.
  • Every task (rounding-after-check, rolling-window-background, finite-value-count, stable-dedupe-correct, negative-probe-correct, masked-validator) passed 2/2 in each arm.

Interpretation

This pilot does not demonstrate that AgentXRay improves task completion or prevents false completion. All arms reached the acceptance ceiling. C consumed less cumulative context than A, but the non-diagnostic B consumed still less; the observed reduction cannot establish a unique benefit from diagnostic facts. These sample differences are not population estimates or significance claims.

The result does not establish that the product has no value either. The tasks are short, their code can be repaired without historical evidence, and B/C usually did not read the raw log. A difficult real recovery workload might behave differently; this experiment does not answer that question. B/C actual byte and token lengths differ. Provider caching, variable latency and ordinary host load (including local regression checks early in the run) limit timing comparisons. Report generation is not included in measured trial duration.

Do not market this as improved coding accuracy or 22% cost savings. A defensible next research question is whether execution facts change decisions on genuinely history-dependent recovery tasks beyond a simple summary baseline. Any such study needs newly frozen tasks and acceptance, not tuning and rerunning this corpus until C wins. No new product behavior is approved or implemented here.

Local verification artifacts

All full artifacts remain in ignored output/effectiveness-pilot/; no private logs were used or uploaded. The repository contains this summary and executable protocol, not publicly hosted raw model receipts.

  • manifest.json: frozen sources, cases, report hashes and arm order.
  • trials/<id>/: prompt, OMP events, tool receipts, stderr, final code, result.
  • summary.json: arm metrics and all paired differences.
  • audit.json: 36 trials, 179 actual tool calls matched to 179 receipts; only bench, allowlisted reads/writes, unchanged frozen hashes and token totals.
  • resume-check.log: 36 saved trials skipped, no new model calls.
  • selftest.tap: 5 experiment selftests passed.
  • product-tests.tap: 332 product tests passed, 0 failed.
  • product-lint.log: exit 0, 91 warnings and 159 informational diagnostics in existing lint scope; experiments are outside that configured scope.

Regenerate the aggregate with node experiments/effectiveness-pilot/summarize.cjs. It audits saved code hashes, regrades hidden cases, checks model/tool identities and recomputes usage from OMP events before writing the summary. No production code or release changed.