Practical lessons from working directly with engineering teams and building real Agentic AI systems and SaaS products. Tone: Senior, personal, opinionated, practical.
Agents are powerful, but they carry a heavy 'complexity tax'. Learn when to stick to simpler automation to save margin.
They don't throw 500 errors. They drift, hallucinate, and Circular-reason themselves into a budget black hole.
Terminology is messy. I clarify the architectural differences that technical leaders need to understand.
Orchestrating multi-agent systems requires a new approach to token management and observability.
How to implement human-in-the-loop guardrails without breaking autonomous efficiency.
Practical lessons from consulting with teams and building real Agentic AI SaaS products.