Publication & LMS
About & Site Map
The learning portal for agenticoutputs.com - hands-on, tool-by-tool guides for deploying agents, designing API contracts, and engineering robust memory pipelines.
Mission
Our goal is to give software engineers real, practical tracks to build with AI. We focus on real-world engineering constraints - API contracts, execution sandboxes, evaluation loops, and system memory - rather than abstract theory or superficial demos. Every course, explainer, and tutorial is verified against empirical runtime code.
Site Directory & Navigation Map
Explore all tracks, visual guides, projects, and reference resources available across the portal:
- 01. Practical Fundamentals
- 02. Vibe Coding - Natural Language to Production
- 03. Prompt Engineering - First Principles to Production
- 04. Model Context Protocol (MCP) in Practice
- 05. Claude Code - First Commit to Agent Teams
- 06. Google AI Coding Tools: Gemini CLI, Antigravity & Beyond
- 07. Terminal Agentic Coding Tools: OpenCode, Aider, OpenHands & Goose
- 08. Hermes Agent - CLI to Production
- 09. AI Workflow Patterns: Alignment & Subagents
- 10. RAG in Practice - Search to Production Retrieval
- 11. Local LLM Hosting with Ollama
- 12. Agentic Engineering - Mechanics & Architecture