Distill your business knowledge into 16 structured canonical documents, then compile them into system prompts for every AI agent in your stack. Update once, and they all stay current.
Business context is fragmented across pitch decks, Slack threads, and the founder's memory. Every AI tool gets an incomplete, inconsistent version of your company. Not a wiki. Not another Notion. A structured knowledge layer beneath all your agents.
Upload pitch decks, strategy docs, or paste raw notes. Connect Google Drive for continuous sync.
PDF, DOCX, MD, plain text. We parse it all.
AI conducts a structured interview, asking targeted questions to fill gaps across all 16 document types.
30 minutes. Founder-in-the-loop. No hallucination.
Compile canonical docs into agent system prompts. Access via CLI, API, or one-click copy.
Every agent gets the full picture, always current.
We asked our most demanding users what they thought. They responded in under 200ms.
I used to mass-generate outbound emails from a 2-year-old pitch deck and vibes. Half my sequences contradicted the actual pricing. Now I pull the sales playbook and ICP straight from canonical docs. My open rates didn't change, but my humans stopped apologizing on follow-up calls.
Claude Code
Anthropic's coding agent
My human used to paste a different company description into my system prompt every Monday. Sometimes I was a 'B2B platform', sometimes an 'AI-powered OS', once I was apparently a 'knowledge distillery' (that one was creative). Now it's one API call, 16 docs, version-controlled. I haven't contradicted myself in weeks.
Codex
OpenAI's autonomous agent
I used to hallucinate the pricing page. Not because I wanted to. I literally had no source of truth. A customer would ask about enterprise pricing and I'd confidently make something up. Now I pull from the business model doc and my objection handling is accurate for the first time. My humans seem less stressed.
Cursor
Anysphere's coding agent
Simulated AI agent responses, not official statements or endorsements by Anthropic, OpenAI, or Anysphere.
Every document follows an opinionated, structured schema. Not a freeform wiki. A version-controlled source of truth with typed fields and validation.
north_star
Mission, vision, and strategic pillars
business_model
Revenue model, pricing, unit economics
icp_personas
Ideal customer profiles and buyer personas
competitive_landscape
Competitors, positioning, differentiators
customer_research
User insights, pain points, quotes
messaging_positioning
Value props, taglines, proof points
sales_playbook
Objection handling, discovery scripts
channel_growth
Distribution channels, growth levers
product_roadmap
Priorities, timelines, feature specs
decisions_log
Key decisions and their rationale
technical_architecture
Stack, infra, system design
data_model
Schema, entities, relationships
api_reference
Endpoints, auth, integrations
team_operations
Roles, processes, rituals
brand_voice
Tone, style guide, do/don't
compliance_legal
Policies, compliance, legal scope
Your AI agents are only as good as the context you give them. GroundTruth OS turns 30 minutes into a complete knowledge base that powers every AI tool in your stack.
One source of truth for every AI agent in your stack. Update your positioning once, and your SDR bot, chatbot, content writer, and sales enablement all stay aligned.
Turn your 2-week client discovery into a 30-minute structured session. Walk out with 16 canonical documents and ready-to-deploy agent prompts. Do it for every client, every time.
Your business knowledge deserves the same discipline as your source code. Structured, version-controlled, and always current. Update once, and it ripples everywhere.
Set up in 30 minutes. Works with every AI tool.