When should you use Anthropic’s Claude API?
Use the API when your own app needs to ask a Claude model for a response. Claude is the family of models, while the API is how your app sends a request. The Claude chat product is a separate way to use those models.
For a workshop app, you could ask for a draft heading and a suggested category from made-up class details. Keep a manual way to write the heading and select the category.
What should your app check before showing the draft?
On a supported model, structured outputs can make a response follow a format you define, such as a heading and one category from a list. Check that the draft still matches the workshop details and handle refusals or cut-off answers.
If the model invents a price or changes the time, discard the draft or let a person correct it. Keep the API credential on your server, where visitors cannot copy it from the page.
What is the difference between Anthropic’s rates and spend limits?
Pricing depends on the model and how much it processes. For a text request, check separate rates for input and output tokens, the small pieces of text the model reads or generates.
The direct API documents both short-window request and token limits and monthly spend limits. A busy minute can reach a rate limit even when monthly spend is low. If a spend cap has stopped requests, sending the same request again will not restore access.
Can Anthropic keep or train on what you send?
Anthropic says it does not train on commercial inputs or outputs by default, with exceptions such as explicit feedback or opt-in. Its standard API policy says inputs and outputs are deleted within 30 days unless a different agreement, usage-policy enforcement or legal requirement applies.
Check the exact feature, model and account agreement before sending sensitive material. Some features store data and some models have specific retention requirements. Training and storage are separate questions.
How can you check the idea before connecting the API?
Write a fictional workshop description and the fields you want a draft to contain. Do this on paper, without credentials or customer data.
- Check a normal resultWrite a short title and one category. Compare both with the original workshop facts.
- Check a missing or wrong resultCross out the category or add an invented price. Reject the draft and sketch the manual path.
- Estimate cost separatelyCount estimated input and output tokens at made-up rates. Record how many draft attempts your app would permit for one person.