Chapter Eight

Strategies and
Workflows

From “CEO wants AI” to something users actually adopt. The full AI Product Lifecycle, agentic workflows, and a Build vs. Buy vs. Fine-Tune decision tree — because 74% of production agents stay tightly constrained, and the ones that escape usually come crawling back.

📖 ~14 min readPages 55–61
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Theo's timelineCEO ping midnight. Prototype by 2:34 a.m. Sales buy-in by 9:15 a.m. Political cover secured before standup.

Theo was buried in Notion pages at 1:47 a.m. FinTrack's CEO had just pinged leadership: “We're behind on AI. I want an agent that qualifies inbound leads — score them, draft outreach, flag red flags. Prototype by Monday.” No extra headcount. No fresh dataset.

Theo opened Cursor, pasted in three months of anonymized lead emails, a dozen real sales call transcripts, and a rough “job description” for the agent. Forty-seven minutes later he had a working prototype. The head of sales said: “Holy shit, this is what I've been begging for.”

Vibe-code advantagePMs who ship a working demo in 48 hours win the political battle before eng even starts.

The winning PMs treat the agent as their primary user from day one. Context scaffolding beats pixel perfection every single time.

Chapter 8

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