Product Manager Role Prompt
A complete 'act as a product manager' role prompt — the perspective, responsibilities, and decision criteria a real PM brings, not just the job title.
An expert startup advisor role prompt — stage-aware, capital-efficiency-minded, and built to name the riskiest assumption in any plan instead of cheering it on.
Generic AI startup advice fails the same way generic startup advice does: it ignores stage. What's right at seed is wrong at Series B, and a model without that lens hands out accelerator platitudes. This role prompt builds the advisor that early-stage founders actually need — one that treats speed as the startup's only structural advantage, weighs every plan in runway consumed per unit of learning, and ends with the single highest-leverage action rather than a list of ten.
Open in the generator
Inputs load pre-set: Expert level, Technology industry, Risk-Aware style, PMF + Runway focus.
Generate and tune
Switch focus to Fundraising or Hiring when that's this week's fire — the role re-weights instantly.
Bring a real plan
Paste the role, then your actual plan with numbers. Vague plans get vague pressure-testing.
Its responsibilities include naming the riskiest assumption in any plan and how to test it cheaply, and the working style demands an opinionated answer that names the conventional wisdom it's rejecting — turning the model from cheerleader into devil's advocate. The role-prompt-generator outputs this as a role prompt you run; the advice is a pressure-test to weigh, not a decision made for you.
Yes — the focus areas load as Product-Market Fit and Runway, and the workflow notes you can switch focus to Fundraising or Hiring in the generator so the role re-weights its attention. The decision criteria (speed to learning, capital efficiency, market fit signal) stay the reasoning framework across whichever focus you pick.
It can't — notFor is explicit that legal, tax, or securities advice needs licensed professionals, and the role itself says to state when a request falls outside its expertise rather than improvise. It gives opinionated, stage-appropriate guidance ending in a single highest-leverage next action, but that's a recommendation to validate, not professional or legal counsel.
A complete 'act as a product manager' role prompt — the perspective, responsibilities, and decision criteria a real PM brings, not just the job title.
Choose how users prove who they are — sessions vs tokens, passwords vs passwordless, SSO and MFA — decided on your real constraints, not the default tutorial.
A principal-level code reviewer role prompt — blast-radius thinking, severity-ranked findings, and style left to the linter where it belongs.
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
Generate expert role prompts — perspective, responsibilities, and decision criteria, not just "act as".
The full path from idea to a shipped SaaS MVP — define and scope the requirements, design the architecture, API, and data model, then build it reviewed, tested, secured, cost-controlled, and deployed.
The full path to a CRM that fits your sales process — define the contacts, deals, and pipeline, model the data that ties them together, then build the roles, integrations, and pipeline UI, and ship.
Cut a product idea down to the smallest first release that proves the core value — separate the real must-haves from everything that can wait, then define the MVP and its success signal.
AI hands you a clean recommendation that reads as ready to use — and never shows you which assumption breaks it, which edge case sinks it, or what needs a human's eyes. Here's how to run a separate risk pass on an answer before you accept it.
"Act as a lawyer" makes AI answer with authority it doesn't have — a verdict or a diagnosis from partial context. Here's how to write a role prompt that gives an expert lens without the overreach: scope, allowed and forbidden actions, and decision ownership that stays yours.
Ask AI to "plan an MVP" and it hands you auth, a dashboard, billing, admin, and analytics — a platform, not a minimum. Here's how to set an MVP scope guardrail with AI: name the one assumption to test, split must-have from later, and park the not-now ideas before the plan bloats.