Key Concepts
- 1Start from a real, measurable problem: anchor the feature to a metric finance tracks (conversion, AOV, support cost), not 'we should have AI'
- 2Validate with prompting before heavy investment: prove the use case cheaply before fine-tuning, custom orchestration, or big builds
- 3Get the foundations right first: catalog readiness, retrieval quality, and authoritative tools (pricing, tax, inventory) determine the ceiling
- 4Design guardrails and confirmation gates from the start: define what the agent must never do and enforce it in code, not just prompts
- 5Instrument before scaling: build the funnel, cost, error, and quality telemetry that turns iteration from guesswork into evidence
- 6Roll out gradually with flags and kill-switches: internal, then a small cohort, then broad, watching guardrail metrics at each step
- 7Plan the operating model: incident response, cost governance, attribution, and a maturity roadmap — launch is the start, not the finish
Why It Matters for PMs
Synthesis into action: The playbook sequences the course's lessons into a launch approach — problem-first, foundations, guardrails, instrumentation, gradual rollout.
Avoiding common failures: Most agent launches fail on foundations (catalog, retrieval) or missing guardrails/telemetry. The playbook front-loads exactly those.
Launch is the start: The operating model — incidents, cost, attribution, maturity — is what sustains the feature. PMs must plan beyond day one.
Test Your Understanding
Question 1 (Multiple Choice)
Where should an agentic commerce feature start?
Question 2 (Multiple Choice)
What should be validated before heavy investment?
Question 3 (Multiple Choice)
How should the feature be rolled out?
Question 4 (Short Answer)
Walk through how you'd sequence launching an agentic commerce feature from problem to scale.
Think about your answer before revealing the explanation.
Question 5 (Short Answer)
Which foundational investments most determine an agent feature's ceiling, and why?
Think about your answer before revealing the explanation.