View AI data

AI Transformers can convert emails, files, and TXT messages into tables of structured data. You can view this data in the MailSlurp app or connect it to your systems using webhooks or 3rd-party integrations with tools like Notion, Excel, and Google Sheets.

Where to review results

• Dashboard: inspect and validate extracted fields in the AI area.
• API-driven flows: fetch and process records in your own services.
• Event-driven flows: forward processed output to downstream systems using webhooks.

Result consumption patterns

1. Human review: validate extraction quality, then tune transformer prompts/schemas.
2. Automation: map extracted values into internal workflows (tickets, CRM updates, data syncs).
3. Testing assertions: validate that expected values were extracted from realistic email/SMS fixtures.

Data quality checklist

• Validate critical fields before triggering side effects.
• Track extraction misses and update schema/prompt definitions.
• Keep destination integrations idempotent to avoid duplicate writes.

Related pages

• Define transformer pipelines
• Invoke transformations
• Output schema guidance