How AI is reshaping token diligence
Diligence on a new token used to mean hours of manual work — reading docs, mapping the cap table, checking unlock schedules, and cross-referencing backers. AI hasn't replaced that judgment, but it has dramatically compressed the time it takes to get to the questions that actually matter.
What AI does well
The clearest wins are in summarization and pattern detection across large, messy datasets. AI is excellent at surfacing anomalies a human would take hours to find.
- Tokenomics parsing — extracting supply schedules, unlock cliffs, and emission curves from documentation.
- Backer mapping — connecting an asset to the funds and exchanges behind it, and their track record.
- Sentiment context — distilling the narrative around an asset without getting swept up in it.
AI is a research accelerator, not a research replacement. The edge is in what you ask, not what it answers.
What still needs a human
Judgment about team quality, the credibility of a roadmap, and whether a narrative is durable or fleeting all remain stubbornly human. The best desks use AI to clear the busywork so analysts can spend their time on these high-leverage questions.
How Presolt approaches it
Ask Presolt is designed to be a starting point, not a verdict. It pulls structured data from the warehouse and presents it clearly — then gets out of the way so you can make the call.
The result is faster diligence with the same rigor. That's the bar we hold every AI feature to.