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Atomizer-HQ Agent Documentation

Version: 1.0
Created: February 2026
Target Audience: AI Agents (Manager, Secretary, Technical Lead, etc.)


What is Atomizer-HQ?

Atomizer-HQ is a multi-agent optimization team that runs FEA optimization projects for clients. Built on top of the Atomizer optimization framework, it provides a structured workflow from client intake through project delivery.

The Team:

  • 📋 Secretary — CEO interface, admin, client intake
  • 🏗️ Manager — Project coordination, workflow orchestration
  • 🔧 Technical Lead — FEA expertise, R&D leadership
  • Optimizer — Study execution, optimization runs
  • 🔍 Auditor — Quality assurance, deliverable review
  • 📊 Post-Processor — Results analysis, visualization
  • 📝 Reporter — Technical documentation, client reports

How to Use These Docs

This documentation provides agent-specific guidance for:

  1. Project Structure — How projects are organized
  2. Knowledge Base Usage — Accumulating and sharing domain knowledge
  3. Agent Workflows — Who does what, when, and how
  4. Study Conventions — Technical study execution standards

Essential Reading for All Agents

Document Purpose
PROJECT_STRUCTURE.md Standard project layout and conventions
KB_CONVENTIONS.md Knowledge base usage and accumulation
AGENT_WORKFLOWS.md Project lifecycle and agent handoffs

Role-Specific Guides

Document Target Agents
STUDY_CONVENTIONS.md Technical Lead, Optimizer, Study Builder

Quick Reference

Project Phases

  1. Intake → Secretary handles client requirements
  2. Breakdown → Manager coordinates project setup
  3. Introspection → Technical Lead analyzes requirements
  4. Study → Optimizer executes FEA optimization
  5. Results → Post-Processor analyzes outcomes
  6. Deliverables → Reporter generates client materials

Key Principles

  • KB Accumulation: Add knowledge, never replace
  • Single Source of Truth: Projects have one authoritative structure
  • Quality Gates: No deliverable goes to CEO without review
  • Clear Handoffs: Use OP_09 communication protocols

Living Examples

  • Reference Project: projects/hydrotech-beam/ — Complete project structure
  • Active Studies: studies/ — Study execution examples
  • Knowledge Base: knowledge_base/ — Accumulated domain expertise

Getting Started

New Agent Onboarding

  1. Read your role in context-docs/01-AGENT-ROSTER.md
  2. Review the project structure in PROJECT_STRUCTURE.md
  3. Understand KB conventions in KB_CONVENTIONS.md
  4. Check active projects in projects/ for context

Starting a New Project

  1. Secretary creates project intake
  2. Manager sets up project structure (see PROJECT_STRUCTURE.md)
  3. Technical Lead performs introspection
  4. Follow workflows in AGENT_WORKFLOWS.md

Contributing to Documentation

  • These docs evolve based on agent experience
  • Update conventions when patterns emerge
  • Flag inconsistencies or missing guidance
  • CEO (Antoine) approves major changes

Integration with Core Atomizer

Atomizer-HQ builds on the core optimization framework:

Core Framework (engineers + Claude Code):

  • protocols/ — Operational and system protocols
  • api/ — NX integration and technical APIs
  • optimization_engine/ — Core FEA optimization algorithms

HQ Layer (multi-agent team):

  • projects/ — Client project workspaces
  • knowledge_base/ — Accumulated domain expertise
  • Agent-specific workflows and conventions

Support and Evolution

  • Questions: Ask in #hq channel or direct agent messages
  • Issues: Flag problems in daily coordination
  • Updates: Documentation evolves with team experience
  • Approval: CEO (Antoine) reviews major changes

Last updated: February 2026