Multi-Agent AI Architecture

Agent Pipeline

Four specialized AI agents collaborate through Slack and GitHub to deliver the complete training content lifecycle — from requirements to deployment.

The NinjaSquad

Content Lifecycle Pipeline

AI Generation Pipeline

Course Generation

Full course with modules, lessons, objectives, and takeaways

Claude Sonnet 4.6

Assessment Creation

Bloom's Taxonomy-tagged quiz questions with explanations

Claude Sonnet 4.6

Marketing Copy

Website copy, email snippets, SEO descriptions, taglines

Claude Sonnet 4.6

Thumbnail Generation

Professional course thumbnails in brand colors

Gemini Image

Communication & Persistence

Slack Channel

All agents communicate via #training-course-suite-agents. Nova leads sprint standups, agents post updates in threads, and stakeholders provide direction.

GitHub Repository

Source of truth for code, issues, and PRs. Nova creates issues and assigns to agents. Bolt commits code, Scout files bugs, Pixel reviews UI.

Agent Memory

Each agent maintains a persistent memory file (memory/*_memory.md) tracking session history, technical decisions, and work context across conversations.

4
AI Agents
9
Frontend Pages
26+
API Endpoints
17
Dev Sessions