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Operator evidence — live-deployment learning signal

This doc captures the real live-deployment runs that feed data/critique/operator_reviews.jsonl. Each entry is an auditable record of a production review the ARC GitHub AI Operator performed and the corresponding JSONL record that landed in this repo's critique corpus via the nightly ingest.

See also: LIVE_DEPLOYMENT_LEARNING.md for the pipeline design; gh-ai-operator/docs/FIRST_LIVE_RUN.md for the operator-side record of the same runs.


#1 — FreeEQ8 (flagship JUCE audio plugin)

Date: 2026-04-22

Portfolio issue: GareBear99/Portfolio#1

Target: https://github.com/GareBear99/FreeEQ8

Depth: standard · Type: Full repo review

Focus (requester-stated): DSP safety (real-time, no allocations in processBlock), JUCE patterns, test coverage, license + README completeness, v1.0-ready hygiene.

Verdict

🟡 address feedback — small number of specific fixes suggested

Operator observation (51 files, ~1.79 MB, depth-1 snapshot)

  • Root files the operator recognised: CHANGELOG.md, CMakeLists.txt, CODE_OF_CONDUCT.md, CONTRIBUTING.md, LICENSE, README.md, SECURITY.md, STRIPE_SETUP.md, build_linux.sh
  • Root dirs: .github, JUCE, Source, Tests, docs, server
  • Top extensions: .h×13, .md×9, .jpeg×6, .cpp×5, .sh×3, .yml×3, .js×2

Findings (verbatim)

  • Several sampled source files expose few recognizable function/class symbols (e.g. Source/PluginEditor.h, Source/Config.h, Source/PluginProcessor.h), which can make navigation and review harder.

Record that lands in data/critique/operator_reviews.jsonl

{
  "id": "arc-operator-184e9e8c3e",
  "capability": "critique",
  "domain": "code",
  "difficulty": "medium",
  "target": {
    "analysis":   "<full markdown review>",
    "confidence": 0.7,
    "verdict":    "🟡 address feedback — small number of specific fixes suggested",
    "findings":   ["Several sampled source files expose few recognizable function/class symbols …"]
  },
  "tags":       ["critique", "arc-operator", "live-deployment"],
  "provenance": {
    "source":     "github.com/GareBear99/gh-ai-operator",
    "emitted_at": "2026-04-22T22:14:11+00:00",
    "target_url": "https://github.com/GareBear99/FreeEQ8"
  }
}

Ingest manifest (from scripts/ingest_operator_reviews.py --strict, dry-run)

[ingest] wrote 1 records -> data/critique/operator_reviews.jsonl
[ingest] difficulty: {'medium': 1}
[ingest] verdict:    {'🟡 address feedback — small number of specific fixes suggested': 1}
[ingest] top tags:   [('critique', 1), ('arc-operator', 1), ('live-deployment', 1)]

The --strict exit was 0, confirming the operator's output satisfies every required field in this repo's seed-examples schema.

Status of downstream Phases (per Quality Proof Plan)

  • Phase 0 (operator produces a valid review + JSONL): PROVED on FreeEQ8, real 51-file codebase.
  • Phase 1 (round-trip CI): PROVED AUTOMATICALLY via gh-ai-operator's loop-integration.yml.
  • Phase 2 (dispatch hop): PROVED as of 2026-04-22. Cloudflare Worker at https://arc-ai-operator.admension.workers.dev is live, CORS-allowlisted for https://garebear99.github.io, and accepts authed POSTs that successfully fire repository_dispatch (HTTP 202; GitHub triggers ai-review-dispatch.yml run 24807014943). Static intake form at https://garebear99.github.io/Portfolio/review.html.
  • Phase 2a (runner actually executes): HELD by a GitHub Actions billing hold on GareBear99. Every dispatch-triggered run is queued then annotated "The job was not started because your account is locked due to a billing issue." Non-code blocker.
  • Phase 3–4 (verdict on issue → nightly ingest commit): pending Phase 2a unblock. The three cross-repo PATs (PORTFOLIO_WRITE_TOKEN, AI_OPERATOR_DISPATCH_TOKEN, OPERATOR_READ_TOKEN) are set as bootstrap values today and should be rotated to fine-grained PATs once the loop is live. A fifth secret, CLOUDFLARE_API_TOKEN on gh-ai-operator (Workers AI: Read + Edit), still needs to be created at https://dash.cloudflare.com/profile/api-tokens and set — the wrangler OAuth token used for deploy is session-bound and cannot be used as a long-lived Actions secret.
  • Phase 5 (A/B proof that operator-enriched corpus improves a candidate): pending ≥ 50 ingested records — tracks Stage 5 of STAGED_VALIDATION.md.

How to read this doc going forward

New entries are appended chronologically. Each entry links the Portfolio issue (if one exists), the target URL, the verdict, the findings, and the exact JSONL record shape. Together they form the evidence chain the Gate v2 training run can cite when it claims improvement — not "the model got better," but "the model got better because of these specific auditable live-deployment records."