Choosing AI tools by how fast you find out they were wrong
The most useful question when choosing an AI tool is not what it can do but how quickly you would find out it had done something wrong, because tools whose output is checkable in seconds compound in your favour and tools whose mistakes surface days later compound against you.
There are more AI tools than any person can try, and the lists comparing them go stale within weeks. Feature comparisons are the usual approach and they are close to useless, because every tool ships the same features a month later.
Why feature lists do not help
Capabilities converge. Whatever one tool does well this month, the others will do adequately by next quarter, and any list you build to compare them decays at that rate. Choosing on features means re-choosing constantly, and it rarely explains why one tool made you productive and another did not.
The question that does not decay
How long until I would notice this being wrong. A tool that formats a document is checkable at a glance. A tool that summarises twenty documents is checkable only if you read them, which you will not. The first can be trusted casually; the second needs a habit around it, and most disappointment comes from treating the second like the first.
What that implies in practice
Prefer tools whose output you can see against something. Generated code that runs against a real system tells you within seconds. A generated summary of material you will never read tells you nothing, ever, and quietly becomes what you believe. That is not an argument against summarising, it is an argument for knowing which category you are in.
The trap in the middle
The dangerous tools are the ones that feel checkable and are not: a confident number, a plausible citation, a tidy table. Presentation quality has nothing to do with correctness and our instincts read it as though it does. When output looks authoritative, the check has to be deliberate, because nothing about the format will prompt you.
How this shapes what we built
The generated app talks to live exchanges, so it either works or it visibly does not. That is a narrow domain and a deliberate choice: it puts our output in the category you can check in seconds rather than the one you have to take on trust. The table below is that happening while you read.
Live, right now, on this page
| Market | Price | Funding | 24h volume |
|---|---|---|---|
| BTC | $78,492.50 | -0.0002% | $483,871,545 |
| ETH | $2,416.95 | 0.0012% | $278,636,031 |
| SOL | $101.53 | 0.0013% | $76,202,922 |
| HYPE | $82.70 | 0.0013% | $8,995,529 |
Read from a live market as this page rendered, through a public endpoint that needs no key. Read at 2026-09-03 13:07 UTC; accurate as of that time and not afterwards.
Describe something and watch it get built.
Open the builder, or start from a working app and change it.