How Benchling's Team Actually Looks at AI Traces | Max Agency

Short summary

Benchling shares three observability patterns for AI teams: a weekly fire chief rotation surfacing production traces at all-hands, a user feedback loop flagging anomalies for investigation, and post-launch trace review by engineers and PMs. The focus is building observability culture into operations, not just tooling. Applicable to any org deploying AI agents.

• •Weekly fire chief rotation surfaces production traces at team sync
• •User feedback loop flags anomalies for investigation
• •Post-launch trace review embedded in engineering workflow

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