Semantic intelligence layer for AI-ready specs
Build product specifications as structured context cards with auto-generated flow diagrams.
AI can't fix broken specs. If your product requirements live in scattered docs, slides, and Slack threads; you're building prompt debt.
Every hallucination. Every misalignment. Every "AI got it wrong" moment traces back to one thing; unstructured context.
Compospec is a specification intelligence platform that transforms chaotic requirements into:
- 6-level hierarchy: Product → Module → UI → Section → Component → Element
- Card-based specifications: Persistent, linked, version-controlled
- Auto-generated flow diagrams: Visual representation of user journeys
- AI-ready semantic structure: No prompt engineering required
✍️ Write → Structured context cards
🔗 Link → Parent-child relationships across hierarchy
📊 Flow → Auto-generated diagrams from card connections
Your specs become a semantic intelligence layer ready for AI agents, developers, and stakeholders.
AI code generation tools (Cursor, GitHub Copilot, v0.dev) work well for isolated components but fail at system-wide consistency.
The problem isn't AI capability. It's context persistence.
Most AI workflows break at three points:
- Wrong Intent: AI misinterprets vague specs
- Wrong Visual: Generated code doesn't match design system
- Wrong Patterns: Output doesn't fit codebase conventions
Instead of prompting AI directly, Compospec provides structured context that AI pipelines can query:
Hierarchical Cards → preserve intent cascade and parent context flows to child cards
Decision Subcards → (coming Q2 2026) capture component behavior as queryable state machines
Journey Maps → maintain multi-step workflow context across the pipeline
MCP Protocol Integration → (coming Q1 2026) connects directly to Claude, Cursor, Figma MCP, Code Connect
That's the difference between using AI and shipping with it.
- Spec-driven development: Start with structure, not chaos
- AI-native pipelines: Pre-AI semantic layer for Cursor, Copilot, v0.dev workflows
- AI agent context: Feed semantically rich specs to LLMs
- Cross-team alignment: Single source of truth for product, design, engineering
- Legacy modernization: Document existing systems with precision
📧 Questions? → [email protected]
Built with conviction in London 🇬🇧