I built a website that evolves itself using AI agents — no human touches the code after launch

I built a Minesweeper game that redesigns itself every week using a team of AI agents. No human writes code after the initial setup.

Here's how it works:

• Players visit the site and play normally.
• That data flows to BigQuery, where a Data Scientist AI analyzes player behavior patterns
• A Product Manager AI reads the analysis and proposes an A/B experiment (e.g., "make the grid smaller because players are dropping off on large boards")
• An Ethics AI checks for dark patterns or manipulation
• A Judge AI scores the proposal against a human-written "Source of Truth" document — the only thing the human controls
• If approved, an Engineering AI creates two git branches, Vercel auto-deploys them as live A/B variants
• Next week, the cycle repeats. The winner gets merged to main.

The whole thing runs on a weekly GitHub Actions cron job. The human owner only writes a Source of Truth doc that says what "good" looks like (right now: "maximize session value" — a weighted score of active play time, games completed, return visits, and low frustration).

The AI team just ran its first autonomous experiment: it decided to test whether making the game easier (12x12 grid with 20 mines vs 16x16 with 40) increases player engagement. It proposed it, reviewed it for ethics, scored it 95/100 against the goal, built both variants, and deployed them. All without me.

Play the current experiment:

• Variant A (control)
• Variant B (easier grid)

Wrapper site (explains the project + shows experiment history): [link to your wrapper site]

The whole thing is open source: github.com/davidloesch1/web-game-wrapper

I'm curious — what would you put in the Source of Truth if this were your site? What should the AI optimize for?