Watching people chase "AI agent" narratives without asking one basic question.
Where does the agent get its decision boundaries?
Most agents today are just GPT wrappers with a wallet. They'll tell you something looks bullish because the internet says so. That's not intelligence. That's aggregation with extra steps.
What actually matters is whether an agent operates on verifiable, attributable data. Not scraped Reddit threads. Not vibes. Structured datasets with provenance. That's the only way you get consistent behavior across market conditions.
@OpenLedger doesn't talk about this enough in their public threads, but their entire attribution layer forces that question. If an agent can't prove why it made a trade, can you trust it with size? I wouldn't.
So before getting excited about "autonomous trading," ask what data the agent actually trusts. The answer right now is thin for most projects. That's not skepticism. That's just reading the room.
@OpenLedger #openledger #OpenLedger $OPEN
