Okibi guarantees the reliability of its intelligences through a threefold mechanism:
- automatic testing: Immediately after generation, run a simulation to check whether the tool call is successful and the logic is closed.
- Evaluation reports: Show success rate, error details and optimization suggestions (e.g. 'Suggest to increase mailbox server timeout setting')
- human-computer verification: Manual approvals can be inserted at key steps (e.g. 'Amount over $10,000 requires supervisor review')
Users can view the task status in real-time in the monitoring panel, and the system will flag abnormal execution (e.g., changes in web page elements that cause browser operations to fail) and provide guidelines for fixing them. The platform also supports 'sandbox testing' mode, allowing processes to be validated on small-scale data before formal deployment.
This answer comes from the articleOkibi: an automated platform for rapidly building AI intelligences with natural languageThe
May not be reproduced without permission:AI productivity tools " How to ensure that Okibi generated intelligences perform accurately?
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