Demo Dive Series
A skill handles one task. A governance rollout that spans 9 phases over 8–12 weeks isn’t a single task — and neither is triaging 38 simultaneous alerts to separate real regressions from noise. Playbooks encode the whole workflow: who decides, who executes, and what happens when the happy path breaks. The AI follows the structure rather than inventing it — so the work runs with your senior engineer’s judgment, even when they’re not the one running it.
We’ll walk through two production playbooks. In the first, a human drives a governance rollout, and AI executes the work inside each phase. In the second, AI runs incident triage end-to-end, and a human reviews the result — two opposite forms of the same human-AI handoff.
You’ll learn how to:
- Structure the human-AI handoff — Two opposite patterns, side by side: human leads and AI assists phase by phase, vs. AI drives the investigation and a human signs off on the result.
- Encode the knowledge that walks out the door with your senior engineer — Build anti-patterns, edge-case logic, and domain gotchas into the playbook so the AI handles failure modes instead of improvising through them.
- Make every run auditable — Replace subjective sign-offs with measurable thresholds the AI can self-verify against.
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