How to Know When an AI Agent Can Work Unsupervised — Evan Kormos, Coinbase
Evan Kormos, a player-coach at Coinbase with 15 years in enterprise financial services, lays out a practical way to bring agents into policy-driven, regulated workflows.
Proof1 independent outlet
Key points
- He models processes as DAGs and loops, explains why a loop is only as trustworthy as its check, and shows how evals and traces become a new confidence mechanism.
- 02:53 Where agents fit: people, process, technology
- 11:47 Evals as a confidence mechanism
- 14:29 Supervised, then sampled, then exceptions only
Sources (1)
- [1]How to Know When an AI Agent Can Work Unsupervised — Evan Kormos, CoinbaseAI Engineer (YouTube) · Oct 19, 11:00 PM
Evan Kormos, a player-coach at Coinbase with 15 years in enterprise financial services, lays out a practical way to bring agents into policy-driven, regulated workflows.
He models processes as DAGs and loops, explains why a loop is only as trustworthy as its check, and shows how evals and traces become a new confidence mechanism.
Extractive summary: sentences quoted from the sources.
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