I build systems where an agent isn't a black box you ask management to adopt on faith. Every decision leaves a trail someone can still verify two years from now.
One generates plausible output with no guarantees. The other guarantees without generating anything. Together they don't make a buzzword — they make accountability infrastructure.
Chapter 01 →The gap between an agent that impresses in a meeting and one that survives six months inside an enterprise ERP is where everything is decided. That's where I work.
Chapter 02 →The question isn't technical, it's legal and reputational. And it always comes. A decision ledger anchored on-chain is an answer, not a marketing feature.
Chapter 03 →Everything below exists because one of the three convictions needed proving, not telling.
The feed forgets in three days. The archive doesn't. Every post lives in Italian, English and Croatian.
Fine-tuning is often the first fix proposed when an AI feature underperforms. Most of the time the model lacks context, not capability — and without an eval set you cannot even tell whether tuning helped.
Every on-chain system in production depends on a few private keys. Where they live, who can use them and what happens when someone leaves are architecture decisions, not handover notes.
Anchoring a hash on-chain is an afternoon of work. What decides whether it was worth anything is the verification path: who checks, with what in their hands, years from now.
It's the conversation I enjoy most. Even just to tell you that in your case you don't need it.