Most AI tool roundups answer one question: what does this tool do?
That is the easy question. The expensive one is what happens after you pay - and almost nobody writes that down.
Here are the five checks I run before subscribing to anything. Ten minutes, and they have saved me more than any discount code.
1. The price at your usage level, not the entry tier
Pricing pages open with the cheapest tier and a small asterisk. The number that matters is the one you will actually be billed.
Work out your real usage first - seats, tokens, minutes of transcription, renders - then find that row of the table. A plan that looks like $12/month is regularly $60 once you cross the included quota. If a vendor will not publish an overage rate, treat that as the answer.
2. What breaks when the free tier ends
Many tools are generous until they are not. Before paying, check:
- Is the free tier a trial that expires, or a permanent free plan that is throttled?
- Does the throttle hit a limit you will cross in a normal week?
- Can you keep the work you made on the free tier?
3. Whether you can get your data out
The single most useful line on any listing is the export format.
- CSV or JSON export: good.
- API access to your own data: better.
- Contact support to request an export: that is a hostage situation with extra steps.
If the answer is not in the docs, that tells you something too.
4. What you lose when you stop paying
Downgrades are rarely clean. Some tools keep your data read-only. Some delete it after 30 days. Some keep billing for seats you thought you removed.
Search the docs for downgrade, cancel and data retention before you buy - not after.
5. Whether the listing is current
This market replaces its own top ten roughly every quarter. A review from eighteen months ago is describing a different product. Check the last-updated date on anything you read, including this post.
None of this is exotic. It is the boring half of the decision, and it is the half most directories skip, because feature lists are easier to write than pricing tables.
I maintain haiai123, an independent directory of 1,487 AI tools across 17 categories. Every listing records which step of a workflow the tool replaces, what it costs per month at typical usage, and how you get your data out. Alongside the directory the site publishes model capability, API usage and AI app popularity leaderboards, each labelled with its data source and refresh date.
If you run a sixth check before you subscribe, I would like to hear it.
Top comments (0)