08/09/2026
Blockchain didn't fail
It solved a problem most companies didn't have yet. Then AI agents started touching real money, and the question changed.
blockchainai-agentsauditabilita1 min read
ITENHR
01 — THE THESISAI has learned to decide.
AI has learned to decide.
It hasn't learned to answer for what it decides.
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.
02 — THREE CONVICTIONS
Where everything else starts
01CONVERGENCE
Blockchain and AI solve opposite problems
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 →02PRODUCTION
The demo always works. The system doesn't
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 →03AUDITABILITY
Who answers when the agent gets it wrong
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 →03 — THE EVIDENCE
The projects aren't a portfolio. They're the argument
Everything below exists because one of the three convictions needed proving, not telling.
04 — WRITING
What I post on LinkedIn stays here
The feed forgets in three days. The archive doesn't. Every post lives in Italian, English and Croatian.
08/05/2026
Blockchain–AI convergence is not a market narrative
The two stacks solve complementary problems. Each is terrible exactly where the other is strong.
blockchainai-agents2 min read
ITENHR
07/22/2026
Why your AI pilot dies in September
Not because of the model. Because of the three things nobody budgeted for in January.
enterpriseai-agents1 min read
ITENHR
05 — LET'S TALK
If you're evaluating AI agents on systems you can't afford to break
It's the conversation I enjoy most. Even just to tell you that in your case you don't need it.