1. Keep the context
Strategy, customer evidence, constraints, decisions, and metrics stay in one inspectable place.
Coming Soon
Product Builder OS
A thin workspace for the work builders repeat every week: keep context, write the spec, ship the proof, and read the evidence.
Why It Exists
AI made making faster. It did not make judgment easier.
Builders still need to choose the right problem, preserve context, review quality, measure pull, and decide what not to build. Product Builder OS is aimed at that loop.
The Loop
The weekly operating rhythm
2. Turn signal into a spec
A rough idea becomes a small bet with the user, workflow, edge cases, evals, and kill condition written down.
3. Ship the smallest proof
Use Cursor, Claude Code, Linear, GitHub, Figma, and analytics tools without losing the product thread.
4. Review the evidence
Check usage, quality, cost, support load, and customer pull before deciding what to build next.
First Tools
Start with the parts that reduce rework
pb-contextProduct Context
Search decisions, priorities, metrics, customer notes, and open questions.
pb-specsSpecs
Draft PRDs, stories, edge cases, technical notes, and review checklists.
pb-discoveryDiscovery
Synthesize interviews, map opportunities, and score product bets.
pb-sprintExecution
Plan the next slice, spot blockers, and draft stakeholder updates.
Rules
The product builder bar
- Do not start with a feature. Start with the painful workflow.
- Do not ask an agent to build from vibes. Give it context, constraints, and examples.
- Do not ship without a review gate. Use evals, analytics, and human judgment.
- Do not keep building when the evidence is weak. Change the bet or stop.
Early Access
Help shape the first version
The first release focuses on context, specs, discovery, and execution. Join if you build with AI tools and want a calmer way to decide what deserves shipping.