AI for Product Managers.
The PM job is being reshaped by AI — but not in the way the panic suggests. AI drafts your PRDs, summarizes the research, and mocks the prototype. What it cannot do is decide what is worth building, resolve the trade-off no document settles, or read what a customer actually does. This is the product manager’s home on Vibe Engines: honest guides for using AI in the job, adapting your career, and the judgment that stays yours.
What AI changes for PMs
The mechanical half gets cheap; the judgment half gets more valuable. Point your time right.
- First-draft PRDs, specs, and release notesDeciding what is worth building, and for whom
- Summarizing research, tickets, and meeting notesJudgment on the trade-off no document resolves
- Competitive scans and first-pass market researchA real strategy and an opinion the data cannot give you
- Mocking a prototype to test an ideaTalking to customers and reading what they actually do
Start here
The core PM guides — using AI in the job, and adapting the role as building gets cheap.
AI for Product Managers
Use AI in the PM job today — the stack, prompts, and the judgment calls that stay yours.
The AI-Era Product Manager
What changes for the role as AI makes building cheap — and how to stay the person who decides what to build.
AI for Product Managers
An ordered path to reason about AI features without writing code — the stack, cost, evals, and risk.
Adjacent roles
The roles PMs most overlap with — worth knowing where they start and yours ends.
AI for Technical Program Managers
The how-and-when sibling of the PM role — driving cross-team execution when AI writes the reports.
AI for Business Analysts
The requirements-and-process cousin — problem definition over documentation, and the analytics-engineer pivot.
AI and Your Career
Every role handbook in one place — what AI automates, what stays valuable, and where each role goes next.
Not a PM? The same honest, role-by-role treatment covers engineers, designers, analysts, and more.
Browse every role guide →