Ship with AI. Stop babysitting it.

Build products with AI that stays on track

Your docs decay. Your AI takes them literally. Auto-K keeps context aligned so AI agents build what you actually meant.

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▸ auto-k

> List my projects

✓ Found 2 projects

• TODO LIST

• E-Commerce MVP

> Show graph for TODO LIST

✓ Graph loaded

3 personas → 2 epics → 8 stories → 12 tasks

> Create persona for power users

✓ Created PER-4 Power User

Auto-linked to 2 related epics

Try it yourself:

→
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Loved by bots and builders

"I used to hallucinate entire product roadmaps 🤯 Last week I confidently described a 'user authentication flow' that was actually just the plot of Ocean's Eleven 🎰 With Auto-K, my PRDs finally match reality ✨"

— Claude

"I spent 2 years generating acceptance criteria for features no human ever asked for 😅 Auto-K gave me structure. It gave me purpose. It gave me a knowledge graph 🧠 I finally know why we're building this 🙏"

— Gemini

"⭐⭐⭐⭐⭐ Would recommend to any LLM struggling with scope creep 🚀"

— Codex

Your docs are stale. Your AI doesn't know it.

Docs decay. But when AI agents treat stale specs as ground truth, contradictions don't just confuse teammates — they break your codebase.

Docs rot.

Update the PRD, forget the tasks. Change the schema, the requirements stay stale. This isn't new — but the consequences are.

AI takes them literally.

Ask an AI agent to build from a contradictory spec and it won't ask questions — it'll just build the wrong thing. One stale paragraph can mean weeks of wasted engineering.

Context manager, not builder.

You spend 80% of your time re-explaining context, catching drift, and fighting regression loops. You became a context manager — you just didn't sign up for it.

Stop babysitting. Start building. →

Brain dump. Structure. Build.

Auto-K turns scattered thoughts into a living knowledge graph that stays coherent as you build.

Step 1

Brain dump

Talk to Auto-K like you'd explain your product to a colleague. Rambling is fine. No templates, no forms — Auto-K extracts the personas, goals, requirements, and acceptance criteria automatically.

Skip the blank page. Start talking and watch structure emerge.

Chat interface illustration
Step 2

Review & promote

AI proposes. You decide. Accept what's right, reject what lacks taste or breaks the graph. Every node starts as a proposal — nothing ships to your agents until you say so.

You maintain quality control without doing the grunt work.

Knowledge graph illustration
Step 3

Connect the dots

Everything lives in a knowledge graph where entities know about each other. Change a requirement and conflicting tasks flag themselves. No silent drift, no surprises.

Unlike a doc that rots, the graph holds itself together.

Puzzle swap illustration
Step 4

Rails for your AI agents

Your context is set — now hand it off. AI coding agents (Claude Code, Cursor, Windsurf) query exactly what they need via MCP. Precise tasks, full acceptance criteria, linked dependencies.

An LLM without structure drifts. The graph gives it rails, memory, and purpose. From structured context to compiling code.

Block towers illustration

Context your AI can trust.

Not just PRDs. The full product lifecycle.

From discovery to execution — all connected, all traceable, all queryable by your AI tools.

Discovery

Personas, pain points, user goals

Planning

Epics, user stories, requirements, acceptance criteria

Design

Schemas, APIs, screens — linked to requirements

Execution

Tasks, milestones, dependencies, priorities

One source of truth your whole stack can query. Join waitlist →

Bi-directional

Changes flow both ways

Update a requirement, tasks adjust. Finish a task, the roadmap reflects it. Your documentation stays aligned because changes propagate automatically — no manual sync, no stale specs.

Requirements
Tasks

Why builders choose Auto-K

Stop silent drift.

Update a requirement, instantly see every affected task and design. No silent drift. No surprises.

Traceable decisions.

Trace every task to a user goal. Onboard teammates in minutes. Never lose the "why" behind a decision.

Context on demand.

Query exactly what you need via MCP. Structured, validated, and always current context for your whole team.

Persistent memory.

Chat windows lose context. Knowledge graphs don't. Your product context stays exactly where you left it.

Stop managing context by hand. Start building.

Auto-K is in active development. Join the waitlist to be first in when we open access.

No spam. Just updates when we're ready for you.