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AI for EntrepreneursLesson 7 of 12

7 · What AI tools really cost (tokens, subscriptions, and the bill)

"Free" AI rarely stays free at business scale, and surprise bills have killed real projects. Before you build a workflow on an AI tool, understand how you actually pay for it.

The three ways AI tools charge you:

  • Subscriptions (flat monthly). A set fee for a chat tool, a writing assistant, an AI feature inside software you already use. Predictable — but it adds up fast across many tools, and "AI add-on" upsells stack.
  • Usage / pay-per-token (APIs). If you build with a model's API, you pay per token — the chunk a model reads and writes, roughly ¾ of a word (see F2). Both your input and the model's output cost tokens. Long prompts and long answers cost more, every single call.
  • Per-seat or per-action. Some tools bill per team member or per task performed.

Estimate before you commit. A rough usage estimate for an API-based feature:

tokens per request × requests per day × the model's per-token price

A feature that's "basically free" while you test it can become a real monthly bill once hundreds of customers use it. Founders get burned by skipping this math.

Control the spend like an owner:

  • Cap output length and keep prompts lean — you pay for both.
  • Use a cheaper/smaller model for easy tasks; save the expensive model for the hard ones.
  • Cache repeated answers instead of regenerating them.
  • Audit your subscriptions quarterly. Cancel the AI tools you stopped using. "I forgot I was paying for it" is a silent profit leak.
  • Compare total cost to value. A $50/month tool that saves you 10 hours is a bargain; five $20 tools you barely touch is waste.

Check yourself. When you build with a model's API, what unit do you pay for — and name two things that make a single request cost more.

Sources

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