How to use Ask AI for Custom Data?
Ask AI on the landing screen opens Instance Agent with your bot context. Describe your goal — the agent helps design field structure (columns_json) for a new table or suggests process connection steps.
When you need this
- You are unsure which fields a directory or request table needs.
- You want a draft structure faster than From scratch.
- You need process block hints for an existing table (Process usage tab).
Key terms
- Ask AI — option on New model; hint: describe the model to Instance Agent for structure help.
- The agent may ask clarifying questions before suggesting fields.
- You must review and save in the Custom Data model editor — the agent does not replace Review changes before save.
- On Process usage — separate Ask AI buttons to connect the table to a process.
- The old AI Magic drawer is removed from the UI — use Ask AI via Instance Agent instead.
- Requires the new Custom Data UI (how to enable).
Before you start
Menu → Custom Data. Instance Agent is available on your instance. You can describe the task clearly.
Step-by-step
New table
- Open
/templatesor click Create table. - Choose Ask AI.
- In the agent chat, describe:
- Table purpose (directory, requests, CSAT).
- Data to store (fields, types, uniqueness).
- Links to other tables if needed.
- Answer the agent’s follow-ups.
- Apply the suggested structure in the editor — check Fields, Model metadata.
- Click Save and confirm changes if prompted.
Existing table + process
- Open the table → Edit → Process usage tab.
- Click Ask AI in the Ask AI block.
- Describe what the process should do (write, read, update).
- Follow agent recommendations in the process builder.
What happens next
A draft structure or integration plan is ready for your review. After save, the table works like any Custom Data model.
How to verify
- Editor fields match your task.
- Field types are semantically correct (email, date, association).
- The process saves/reads data in a test dialog.