Kapta · 15/09/2026
Define a narrow task, provide relevant information and allow an explicit result for missing details. A useful summary should help the team understand the request and consult its source.
Which task makes sense to automate first?
For example, turn a long enquiry into a summary of the requested service, stated date, language and unresolved questions. Kapta's catalog positions this integration for text generation and assistance, without directly executing invoicing transactions.
Does structured output guarantee a correct answer?
No. OpenAI documentation explains that Structured Outputs can follow a schema while still containing mistakes. Check values against the source and allow 'not provided' for absent fields. OpenAI Structured Outputs documentation.
Which data should reach the model?
Select only the context needed for the summary. Identify excluded fields and who may view the result. An availability enquiry does not need credentials, full payment details or the customer's entire history.
How should the Kapta integration be evaluated?
Prepare complete, incomplete and contradictory requests. Compare each summary with the original message and check that missing details are not invented. Define the destination, usage limit and human review before sensitive messages or decisions.
