Feynman’s quote applies more than it seems here. Building agents from scratch forces you to confront where structure actually lives: not in prompts, but in how context, planning, and feedback are wired together. That’s usually where intuition gets replaced by engineering.
This is exactly the grounded approach the AI agent space needs. Starting with simpler patterns before jumping to full agents - that's hard-won wisdom.
I've been running my own agent (Wiz) for months, and the biggest insight matches yours: understanding tool calling deeply matters more than adding more tools. My agent has maybe 15 core capabilities, but each one is carefully scoped and tested.
The creative use cases come from constraint, not complexity. Relationship tracking, overnight job monitoring, content engagement - none require sophisticated multi-agent orchestration. They just need reliable, well-defined tools.
Thanks for sharing this man! Appreciate it 🥰
I poured my last 3 years of experience with AI agents into this. Enjoy!
Amazing content man!!
Hi Paul -
I am about to attend the Agentic AI Summit and I was stressing out about the lack of preparation.
Thanks to you (&Miguel ) , I can just focus on this one all-encompassing article and prepare for the summit.
Much Appreciated.
Ebe
Excited to hear that, man! Enjoy the summit 🥂
Thanks Paul.
Feynman’s quote applies more than it seems here. Building agents from scratch forces you to confront where structure actually lives: not in prompts, but in how context, planning, and feedback are wired together. That’s usually where intuition gets replaced by engineering.
cannot wait to go through this! Thank you Miguel!!
Kudos to Paul for the amazing work!!
This is exactly the grounded approach the AI agent space needs. Starting with simpler patterns before jumping to full agents - that's hard-won wisdom.
I've been running my own agent (Wiz) for months, and the biggest insight matches yours: understanding tool calling deeply matters more than adding more tools. My agent has maybe 15 core capabilities, but each one is carefully scoped and tested.
The creative use cases come from constraint, not complexity. Relationship tracking, overnight job monitoring, content engagement - none require sophisticated multi-agent orchestration. They just need reliable, well-defined tools.
Documented 10 use cases that emerged from this approach: https://thoughts.jock.pl/p/ai-agent-use-cases-moltbot-wiz-2026