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.
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.
🟡 address feedback — small number of specific fixes suggested
- 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
- 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.
{
"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] 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.
- 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.devis live, CORS-allowlisted forhttps://garebear99.github.io, and accepts authed POSTs that successfully firerepository_dispatch(HTTP 202; GitHub triggersai-review-dispatch.ymlrun24807014943). Static intake form athttps://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_TOKENon gh-ai-operator (Workers AI: Read + Edit), still needs to be created athttps://dash.cloudflare.com/profile/api-tokensand 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.
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."