AI-native development
starts with documents.
From business-flow mapping to requirements, test cases, and user guides.
PM-agent is a workspace where AI generates your documents and grows them with every improvement, accumulating project context as you go.
Free — no credit card required
Actual screen: a business flow generated from interview notes, with version history, quality checks, and draw.io export.
Which one is your bottleneck?
AI coding made development faster.
But PM work hasn't gotten any faster.
The bottleneck is documentation: no time to write it, it goes stale fast, and it isn't in a form AI can consume.
The problem
Specs are scattered across tickets, Slack, and your head
You're the only one who sees the whole picture. Take a day off and the team stalls; onboarding a new member takes a month.
With PM-agent
Generate one coherent requirements doc from scattered sources
Import tickets, meeting notes, URLs, and GitHub — AI consolidates them. A per-project RAG accumulates context, so even fragments become a consistent document.
The problem
No time to write. What you write is stale in two weeks
Test cases never get written, so customers find the bugs first. A document nobody updates is a document nobody trusts.
With PM-agent
Expand requirements into specs and test cases. Updates are one instruction away
Artifacts are chained together, so upstream changes are impact-checked downstream, and version history keeps everything current.
The problem
No reliable spec to hand to your AI coding tools
Claude Code can write the code — but the actual spec lives in hallway chats and Slack. Your AI's output quality stalls.
With PM-agent
Reference and update specs directly from Claude Code via MCP
Specs stay current in a machine-readable form, so your coding AI gets sharper. Documents become the center of your AI-native dev cycle.
Deployment success depends on
how fast you can structure the client's operations.
You're spending too much time on interviews, redrawing flow diagrams, and reworking documents after every improvement.
The problem
Turning interviews into flow diagrams takes days
Organize the notes, redraw them in Miro or draw.io, then rework after each department review. Visualization alone burns the start of the project.
With PM-agent
Auto-generate business flow diagrams from notes, docs, and site URLs
Departments, branches, and exception paths are extracted as structured data — the structuring itself is automated, not just the drawing. Export to draw.io and drop it into your existing deliverables.
The problem
Mapping, requirements, and user guides live in different tools
Flows in Miro, requirements in Word, guides in PowerPoint. Every transcription creates drift and rework.
With PM-agent
One pipeline from business flow to requirements to user guides
Every artifact shares the same project context, so the flow you mapped becomes the requirements, and ships as a user guide at release.
The problem
Every process improvement means rebuilding the whole document set
Fix the flow, reflect it in requirements, update the guide, redo the client deck. One improvement touches four documents — so improvement slows down.
With PM-agent
Tell the AI what changed — related documents version up
Version history and impact propagation are built in, so your change log doubles as evidence for client proposals. The more cycles you run, the stronger your case.
Every screenshot is the real product.
No concept art — only features you can use today.
Requirements documents
From quantified current-state problems to functional requirements with acceptance criteria — generated from scattered sources.
User stories
Epic-to-story consistency is validated automatically. Acceptance criteria expand into tests and tickets.
All artifacts in one place
18 document types under version control. Export to Excel, draw.io, and other formats you actually deliver.
From “write once and forget” to documents that grow with every improvement.
Map operations
Auto-generate business flows
Define requirements
Generated straight from the flow
Build & improve
Changes propagate downstream
User guides
Auto-generated per release
Every artifact is version-controlled, and upstream changes are impact-checked downstream. The more cycles you run, the deeper the AI understands your project.
ChatGPT and Claude Code are tools that write.
PM-agent writes, manages, and grows.
Not from your next project.
From your current one.
Start FreeIn beta — no credit card, first document in 5 minutes