01 / Drift
Docs rot.
Update the PRD, forget the tasks. Change the schema, and the requirements quietly keep pointing at the old product.
Ship with AI. Stop babysitting it.
Build with AI that stays aligned
Your docs decay. Your AI takes them literally. Auto-K keeps context aligned so AI agents build what you actually meant.
Live beta opens soon
| Free during beta Built by alumni of
LinkedIn
Problem diagnosis
The problem is not AI. It is the context you feed it.
The mistake teams make: they ask agents to build from docs, tickets, and decisions that no longer agree with each other.
02 / Literal
AI obeys stale context.
Agents do not know your docs are wrong. They execute contradictions with confidence and turn small inconsistencies into shipped bugs.
03 / Loop
You become the context manager.
Instead of building, you re-explain decisions, patch prompts, catch regressions, and keep every agent aligned by hand.
Agent-approved context
Even the agents can tell.
Cleaner context shows up as fewer hallucinated tasks, fewer resets, and handoffs that survive implementation.
Verified quote ★★★★★
I used to hallucinate entire product roadmaps. Auto-K finally gave my PRDs a reality check.
Context check ★★★★★
I spent years generating acceptance criteria for features no human asked for. The graph gave me purpose.
Build review ★★★★★
Would recommend to any LLM struggling with scope creep. Five stars, fewer regressions.
Better context is visible in the work your agents return.
See clean context →Brain dump. Structure. Build.
From messy intent to agent-ready context.
Auto-K turns product thinking into reviewed, linked context your agents can query instead of guessing from stale docs.
Brain dump the messy version.
Explain the product like you would to a teammate. Half-formed ideas, constraints, edge cases, and weird caveats all belong here.
Auto-K turns raw intent into candidate personas, goals, requirements, and acceptance criteria.
Output Structured product intent
Promote only what is true.
AI drafts the structure. You approve the pieces that match reality and reject anything vague, stale, or not worth feeding to agents.
Nothing becomes source-of-truth context until a human accepts it.
Output Reviewed decisions
Wire the context together.
Personas, requirements, stories, schemas, and tasks stop living as disconnected notes. The graph knows what depends on what.
Change one decision and the affected work becomes visible instead of hiding in stale docs.
Output Living knowledge graph
Hand agents context they can trust.
Claude Code, Cursor, Windsurf, and other agents query the graph through MCP instead of guessing from stale documents.
Agent-ready context means clearer tasks, fewer resets, and implementation that tracks what you actually decided.
Output Agent-ready context
Context your AI can trust
Give your agents the source of truth.
Join the beta and turn product decisions into context your coding agents can query through MCP.
Free during beta. No spam.
Beyond the PRD
One source of truth for the whole product lifecycle.
Connect discovery, planning, design, and execution so agents stop guessing from disconnected docs.
Discovery
Capture personas, pain points, goals, and the messy context behind them.
Next: Planning
Planning
Turn rough intent into epics, stories, requirements, and acceptance criteria.
Next: Design
Design
Link schemas, APIs, screens, and edge cases back to the requirements.
Next: Execution
Execution
Hand agents tasks, dependencies, priorities, and the reason each one exists.
Queryable by agents
Every decision stays traceable from first idea to shipped task.
Join the beta waitlist →Why builders choose Auto-K
Better context. Fewer resets.
Auto-K gives product and engineering teams one reviewed context layer their agents can actually use.
Changes stay connected.
Update a requirement and related tasks stay in sync. Ship work and the context reflects it.
Less context babysitting.
Stop re-explaining the same decisions to every agent, teammate, and ticket.
Clearer agent tasks.
Every task keeps the requirement, user goal, and acceptance criteria attached.
Queryable through MCP.
Agents can ask for the exact context they need instead of reading stale docs.
Reviewed before agents use it.
Drafts do not become source-of-truth context until the team approves them.
Memory that survives.
Context lives outside chat windows, so future work keeps the same decisions attached.
Beta access
Stop managing context by hand.
Join the waitlist and be first in when Auto-K opens access.
No spam. Just product updates.