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AI-Powered Documentation

Transform artifacts into developer-ready documentation

Your intelligent documentation assistant

AI Architect is a desktop application that transforms scattered project artifacts—wireframes, user stories, meeting notes, and technical specs—into comprehensive, production-ready Product Requirements Documents and Implementation Specifications.

Built by Certified Scrum Trainer Rod Claar using Test-First AI Development methodology, AI Architect removes documentation bottlenecks while preserving the rigor, clarity, and traceability serious delivery teams require.

What AI Architect delivers

  • Consolidates scattered artifacts into one documentation workflow
  • Generates PRDs and implementation specifications automatically
  • Maintains requirement traceability and validation visibility
  • Supports local models, offline workflows, and transparent AI operations

The problem it solves

Software projects generate artifacts across many tools. When it is time to create formal documentation, teams often lose time consolidating inputs, resolving contradictions, and hunting for missing requirements.

Manual Consolidation

  • Scattered information across tickets, notes, and files
  • Hours spent copying and organizing content
🔍

Missing Requirements

  • Critical details buried in conversations
  • Incomplete specs handed to development
🔗

Lost Traceability

  • Weak links between source artifacts and requirements
  • Harder reviews, audits, and change tracking

Core features

📥

Smart Artifact Import

  • Import single files, folders, or curated sets
  • Automatic type detection and flexible pattern matching
  • Support for Markdown, JSON, YAML, TXT, PDF, and more

Validation

  • Detect gaps, contradictions, and duplicates
  • Classify findings by severity
  • Produce clear validation reports
📄

Dual-Mode Generation

  • Fast template-based generation for consistency
  • LLM-based generation for complex synthesis
  • Strong fit for both standard and novel projects
🎛️

AI Configuration Control

  • Use OpenAI-compatible endpoints
  • Works with LM Studio, Ollama, or cloud APIs
  • Control model, tokens, temperature, and timeout

How it works

1

Create Project

Set up a documentation workspace with project metadata and source paths.

2

Import Artifacts

Scan and preview files, then ingest the artifacts that matter.

3

Analyze

Extract requirements, categorize them, and link them back to source material.

4

Generate

Create PRDs and implementation specifications ready for development use.

Who it helps

Scrum Teams

Generate PRDs from user stories and acceptance criteria while preserving traceability.

Technical Leads

Turn design notes, architecture decisions, and meeting outcomes into implementation-ready specs.

Consultants

Manage documentation for multiple clients and tailor outputs with custom instructions.

Get AI Architect

Ready to transform your project documentation workflow?