Open the Assistant
On a workflow built with the Assistant, open it and click AI assistant. The chat opens with the workflow in context, so you can get straight to the problem. Each workflow has one Assistant chat. If a teammate already opened it, you join the same conversation.Debug with the Assistant
Debugging is a conversation. Describe what is wrong, and the Assistant investigates, makes the change, and reruns a sample so you can confirm the fix before anything goes live.1
Describe the problem
Say what is wrong and what you expected, for example “The salary field is empty on most rows, but the postings show a salary near the title.”
2
Let it investigate and change
The Assistant looks into the workflow, adjusts the extraction, schema, navigation, or transformation, and reruns a sample preview. It tells you what it changed as it works.

3
Review the sample
Check the updated rows.

4
Approve or keep refining
If the sample looks right, approve to apply the change. If not, reply with what is still off and the Assistant reruns. Repeat as many times as you need.
For automatic checks on every run instead of spot-fixing, add Data Quality rules.
What to say
Brief the Assistant like a colleague: lead with the symptom and the result you expect, and name the field, the page, and what the correct value should look like. The same advice as writing a good prompt applies.When the Assistant can’t fix it
The Assistant tells you and automatically hands the issue to Kadoa support. For how failed runs are classified and auto-recovered, see Error Handling.Next steps
Prompts
Write prompts that get the best results
Human-in-the-Loop
Review and approve data before it goes live
Error Handling
Understand failures and recovery
Data Quality
Validate every run with per-field rules