LEARNING PATH
Agentic AI Boot Camp.
A hands-on series on building production-grade AI agents — from concepts to deployment.
Read in order. Each part builds on the last.
01
When Do Multi-Agent AI Systems Actually Scale?
Do multi-agent systems actually perform better than a well-designed single agent — or do they just look smarter? Practical lessons from recent research.
02
AFK AI Coding with ‘Ralph’: Let Your AI Code While You’re Away
How to run AI coding CLIs like Claude Code and Copilot CLI in autonomous loops, so your coding agent works without constant supervision.
03
The Architect’s Dilemma: A Defensible Framework for Agentic ROI
A defensible framework for agentic ROI — how to bridge the 89% adoption gap and drive EBITDA with production AI agents.
04
Agentic AI Boot Camp: A Hands-On Journey
Notes from a hands-on journey into agentic AI — LLMs with reasoning, RAG pipelines, and lessons learned from experimentation.
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