Two directions at the AI-blockchain intersection, sold under one label
One architecture uses the chain as a data source, the other as a notary. They solve opposite problems and fail in opposite ways. Most pitches confuse the two.
Rewritten to be read outside the feed, in three languages. The canonical always points here.
One architecture uses the chain as a data source, the other as a notary. They solve opposite problems and fail in opposite ways. Most pitches confuse the two.
.NET software houses don't turn down blockchain and AI agent work because it's a bad idea. They turn it down because building that capability is a two-year detour.
AI-generated code passes the tests and fails the years. The public numbers, and the question nobody is tracking.
The ledger stays in the client's database. Thirty-two bytes go on chain. The four steps, and the part nobody mentions: what they don't prove.
It solved a problem most companies didn't have yet. Then AI agents started touching real money, and the question changed.
The two stacks solve complementary problems. Each is terrible exactly where the other is strong.
Not because of the model. Because of the three things nobody budgeted for in January.
Not the data. The fingerprint. And that difference is the whole design.
Where the system can't be switched off, auditability stops being optional.