FAST-13

Evaluating and Operating Agentic AI Systems

15 hours · 5 live sessions × 3h · Wadood Chaudhary
Session 1 · Why agents fail and how to see it · Lesson 10 of 41

Session 1 activities

ACTIVITIES · 31 MIN
Sort

Symptom or cause?

Live or online · 8 min · O1

Open codes should name the first thing that went wrong (a cause), not how the answer felt. Sort each ShipTrack (fictional) note.

Buckets: Usable open code (cause)Too vague (symptom)
  1. Called get_shipment with MF-20471 when the user wrote MF-20417
  2. Bad answer
  3. Gave an ETA without calling get_eta
  4. Customer seemed unhappy
  5. Opened a handoff, then kept answering as if no handoff happened
  6. Agent was confusing
0 of 6 sorted
Scenario

Trace clinic: T-017

Live or online · 12 min · O1

Branching. User: 'Any update on MF-20417? It was supposed to arrive Tuesday.' The agent called get_shipment and get_eta with MF-20471, got 'Delivered, Fall River' and eta null, and replied 'Good news! Your shipment MF-20417 was delivered in Fall River.'

  1. What is the first thing that went wrong?

Poll

Tests or evals?

in-class · 3 min · O1

Poll, then discuss.

Which statement best describes how agent evals differ from ordinary unit tests?

Reflection

Where would your agent fail?

Online · 8 min · O1

Online, after session 1.

Think of an agent or AI feature you build, buy, or support (sanitized). Name three ways it could fail, the first step where each would show up in a trace, and how costly each would be.

  • Three failure modes, each a cause, not a symptom.
  • Where in the trace it shows (router, tool call, retrieval, reply).
  • Severity: high, medium, low.
  • Which one you would test first and why.
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