AI operating system for mega on Autopilot

/loop 30m Start the "AI operating system for mega on Autopilot" loop.

Inspired by Constellation Space (https://constellation.space).

Goal: open work triaged, exceptions owned, and core research workflow current with audit trail
Max iterations: 20
Between iterations run: Report open queue items, stale tasks, failed automations, and items awaiting human approval for Constellation Space
Exit when: zero open items without owner or explicit escalation, all external actions approved or sent, and systems of record current

Step 1 — Intake demand: Collect specs, quantities, lead times, and vendor constraints.
Step 2 — Source and compare: Rank suppliers or components by spec, cost, and availability.
Step 3 — Draft orders: Prepare POs or build configs with cited BOM lines.
Step 4 — Human approval: Require sign-off before spend or manufacturing commits.
Step 5 — Track fulfillment: Monitor delivery, QA, and exception handling to close.

## Before you start

Connect plugins:
- GitHub (required) — Read branches, PRs, reviews, checks, workflow runs, and source diffs.
- Browser / Web access (required) — Open pages, inspect live state, collect evidence, and verify changes.
- Google Analytics (required) — Read traffic, conversion, product, or campaign performance signals.
- Notion (required) — Read and update approved briefs, docs, calendars, and reports.

Attach skills:
- Loop runner (required) — Self-pace iterations, run the check between passes, and stop only on the exit condition.
- Code change + local verification (optional) — Edit code safely, run commands, and keep changes scoped.
- CI debugging (optional) — Read failing checks, logs, and the smallest actionable root cause.
- Approval workflows (optional) — Keep outbound actions in draft or approval states when risk is non-trivial.
- Browser QA (optional) — Exercise product flows, capture visual evidence, and verify fixes in-browser.
- Content operations (optional) — Turn signals into reviewable briefs while preserving source attribution.
- Research monitoring (optional) — Compare sources over time and separate verified changes from noise.

Self-pace this loop. After each iteration, run the check command, read the output, and only continue if the exit condition is not met. Stop when the exit condition passes or max iterations is reached. Give a short status update each pass.