Hamel Husain explains his advice for reviewing AI-agent traces—records of what an agent actually did—in a 38-second clip. YouTube reports this upload cannot be embedded; use the Watch link above.

Why 100?

  • “Read 100” gives teams a concrete goal that gets them past the anxiety of starting an open-ended review.
  • It is not a statistically proven threshold or a magic number. Without a target, “look at the data until you know when to stop” is too vague to motivate action.
  • Once people approach the target, the guidance becomes more nuanced: keep reading until new traces stop revealing new patterns. Hamel calls that theoretical saturation.

“100 is not a magic number. It’s just a cognitive unblock.”