Files
client-projects/documentation/02-technical-architecture/ai-agents-framework/overview/AI-Agents-Learning-Home.md
T
jerome b671546622 Milestone 1: Documentation Foundation Structure
Created complete documentation structure with:
• Root README.md with repository overview
• Documentation directory structure (01-05 + templates)
• Migrated content from public repository
• New operational documentation
• Comprehensive templates for business workflows

Sections:
1. 01-business-strategy/ - Business vision, market analysis, financials
2. 02-technical-architecture/ - Infrastructure, AI agents, deployment
3. 03-operations/ - Client onboarding, support processes
4. 04-customer-portal/ - Placeholder for client-facing docs
5. 05-development/ - Placeholder for dev standards
6. templates/ - 5 reusable business templates

This commit establishes the foundation for the repository reorganization.
Content review will be conducted separately.
2026-04-10 15:16:46 +00:00

19 lines
896 B
Markdown

1|# 03 - AI AGENTS & LEARNING — Home
2|**Purpose:** AI agent frameworks, learning resources, and implementation guides.
3|
4|## Contents
5|
6|### **01 - Claude Code & Opencode** — Agent framework tutorials and best practices.
7|
8|### **02 - OpenClaw Framework** — Open-source agent orchestration platform setup and usage.
9|
10|### **03 - MCP (Model Context Protocol)** — Integration guides for connecting LLMs to external tools and data sources.
11|
12|### **04 - Autonomous AI Agents** — Research and implementation of autonomous agent workflows.
13|
14|### **05 - Agent Research & Learning** — Papers, YouTube tutorials, podcasts, and general learning resources.
15|
16|---
17|
18|*This section pairs conceptual guides with their implementation scripts for rapid prototyping and deployment.*
19|