Насколько надёжны AI-агенты для critical задач?
Надёжность = evals, Ask, fallbacks и люди — не только bigger models.
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Direct answer
Agents are reliable for critical read/draft workflows when every external write passes Ask, evals regress on every skill change, and fallbacks route to humans with context — not when you maximize autonomy.
Key points
- Target draft reliability, not unsupervised execution
- Run eval suites on every deploy
- Log sources — if the agent cannot cite, it should stop
Reliability stack
1. Scoped connectors
2. Confidence thresholds
3. Ask on writes
4. Human runbook for STOP states
5. Monthly eval regression
Never run payments or legal send without dual control.
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