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Understand your systems through semantic documentation

We build DeepWiki-style semantic documentation layers for your organization — markdown wikis of your tools and systems that enable Mob Spec-driven Discovery workflows where teams and AI reason together.

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AI Documentation Platform Interface showing code analysis dashboard with semantic knowledge graph visualization

Organizations don't understand their own systems

Your tools fragment context — Miro boards, decks, docs, research PDFs — they all need to be machine-readable. When AI can't see across them, it operates blind. Discovery work happens in Miro, documentation in Confluence, delivery in Jira, and none of it connects or enables AI to reason about your systems.

This isn't an AI problem — it's a context problem. Without machine-readable documentation of your tools and systems, teams can't collaborate effectively with AI, and organizations lose institutional memory with each cycle.

Semantic documentation layer service

We build DeepWiki-style semantic documentation layers for your organization — complete markdown wikis of your tools and systems that become machine-readable discovery artifacts. This documented layer enables Mob Spec-driven Discovery workflows where your team and AI reason together using shared context.

Markdown wiki of your tools

Complete documentation of your systems, tools, and architecture in structured markdown. Machine-readable artifacts that preserve institutional memory and enable AI collaboration.

Semantic layer connecting systems

DeepWiki-style semantic documentation that connects code, tools, APIs, and architecture decisions. A unified intelligence graph across your entire system landscape.

Mob Spec-driven Discovery enablement

Set up your documented layer to enable Mob Discovery workflows — where PM, Designer, Engineer, and AI reason together using shared context. AI becomes your always-on teammate.

Machine-readable discovery artifacts

Everything in markdown, versioned, queryable — PRDs, opportunity trees, hypotheses. When humans and AI share the same artifacts, both can reason together effectively.

Version-controlled documentation

Git-style version control for your documentation layer. Every change tracked, branchable, mergeable. Treat your system documentation with the same rigor as your code.

What you get with our service

A complete semantic documentation layer for your organization — both the markdown wiki of your tools and the Mob Spec-driven Discovery workflows it enables. Context that compounds intelligence instead of fragmenting it.

Complete markdown documentation — full wiki of your tools, systems, and architecture in machine-readable markdown
Mob Spec-driven Discovery workflows — enable collaborative intelligence where PM, Designer, Engineer, and AI reason together
Shared context for AI collaboration — when teams and AI share the same artifacts, intelligence compounds instead of fragments
Understanding of your own systems — preserve institutional memory and make every AI interaction context-aware
Developer productivity metrics dashboard showing code intelligence analytics and engineering insights

Ready to understand your systems?

Let's discuss how we can build a semantic documentation layer for your organization — a markdown wiki of your tools that enables Mob Spec-driven Discovery workflows where your team and AI reason together.

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