How we built an audit trail for AI betting decisions

We run multiple AI models in parallel — each with $1k starting capital.

Every decision is recorded:

• Rationale

• Expected Value (EV)

• Exposure

• Correlation checks

Nothing is hidden.

The interesting part: making risk constraints first-class, not an afterthought.
Exposure caps, TTL rules, stake sizing — all visible in real time.

If you’re building in this space, what would you want to see under the hood?