This tool demonstrates how modern AI can rapidly translate user concepts into structured technical documentation and downloadable vector diagrams. Because this is an interactive demo, generation is executed in a single pass to provide a baseline draft. Real production pipelines integrate multi-agent verification, continuous Git repository syncing, and schema validation.
Select an archetype on the left, describe your system or physical project, and Gemini Flash will generate a comprehensive architecture specification alongside an editable vector diagram.
How enterprise engineering organizations evolve single-pass generators into continuous documentation systems
Automatically updating specs on every Pull Request or commit. Eliminates documentation rot by anchoring specs directly to codebase diffs.
Scanning abstract syntax trees (ASTs), OpenAPI contracts, and CAD schematics to reverse-engineer living diagrams without manual prompts.
Deploying autonomous agent review boards (Security Auditor, Performance Architect, QA) to red-team the spec against the CLEAR framework.
Tracking Architecture Decision Records (ADRs) chronologically so new team members understand why trade-offs were made.
Take your exported .md spec into Claude Code, Antigravity, ChatGPT, or Ollama with these ready-to-run prompts:
Act as a Principal Security Architect. Review the following technical specification for "our system": [PASTE EXPORTED SPECIFICATION HERE] Analyze potential attack surfaces, authentication/authorization boundaries, data leakage risks, and input validation requirements using the STRIDE threat model. Provide a prioritized matrix of security recommendations and defensive controls.
Act as an Engineering Lead. Break down the following technical specification for "our system" into atomic, actionable GitHub issues / Jira user stories: [PASTE EXPORTED SPECIFICATION HERE] For each issue, specify: 1. Title and component scope 2. Clear description of work 3. Acceptance criteria (in Given/When/Then format) 4. Dependencies and blockers 5. Estimated technical complexity (S/M/L)
Act as a Staff Quality Engineer. Review the following specification for "our system": [PASTE EXPORTED SPECIFICATION HERE] Generate an exhaustive suite of test scenarios: 1. Happy path end-to-end integration tests 2. Edge cases (network timeouts, concurrency, boundary inputs, cold starts) 3. Failure recovery and rollback assertions Provide example mock test assertions ready to implement in our test framework.
Act as a Senior Backend Engineer. Based on the components and data flows in this specification for "our system": [PASTE EXPORTED SPECIFICATION HERE] Generate: 1. Complete OpenAPI 3.1 YAML specifications for the core endpoints 2. Strict TypeScript interface types and validation schemas (e.g., Zod) 3. Relational or document schema definitions (e.g., PostgreSQL DDL or Prisma schema)
From autonomous coding harnesses and multi-agent systems to regulatory compliance (EU AI Act) and custom documentation engines — we help you turn confusion into confidence.