When a real user is going through the trial period, those 50 searches get them familiar with the tool. When their usage runs out, they're forced to decide if they want to pay to continue or invest the work into replacing it.
AI agents typically don't care. They may sign up for a trial, use the trial, and then when the trial runs out they might get creative and create a new account, or silently switch to another service to avoid bothering the user.
Browsing some of the forums where people discuss their search setups is enlightening. The current favorite strategy is to have your AI set up access to all of the different search providers with free tiers and then rotate among them to avoid having to pay for anything.
Defeats the purpose of the free tier.
[–] cosmicgadget 2 days ago
[–] midnightclubbed 2 days ago
[–] Aurornis 2 days ago
It's the people downloading open weight models and running OpenClaw (or this month's trend) who don't care how many tokens it takes because it only costs them electricity.
[–] Aurornis 2 days ago
Real businesses aren't doing stuff like this.
It's the home users who use LLMs as a hobby. Some power users pay for Exa and other services. A lot of home LLM users will go to unbelievable lengths to not pay for anything that isn't hardware. Seeing what your agent can do is half the fun for them.
Set one of them against a goal and tell it to not bother you until it has the answer. They will do some weird things as they go.
Interesting, is this for personal use or is it some business application? In any event I'd imagine the same can be done via agents using a browser.
> AI agents typically don't care. They may sign up for a trial, use the trial, and then when the trial runs out they might get creative and create a new account, or silently switch to another service to avoid bothering the user.
That is a crazy amount of compute just to conduct a search.