AIStable3 steps
Prepare Data for AI
Normalize records and strip personal identifiers (emails, phones) so a dataset is safe and consistent to feed into an AI model or embedding pipeline.
How it works
PipelineNormalize for consistency, then redact contact PII before the data leaves your system.
- Transform
- Trim stray whitespace from every field.
- Normalize
- Standardize "email" into a consistent email format.
- Standardize "phone" into a consistent phone format.
- Redact
- Replace detected email and phone with readable labels like [EMAIL].
Frequently asked
FAQ- Is this recipe ready to run?
- Yes. This recipe is stable — every step maps to a shipped capability, so it runs and returns structured records today.
- Can I customize the steps?
- Yes. A recipe is a starting configuration. Install it into a project and you can add, remove, or reorder steps to match your own data.
- What does it cost to run?
- Recipes run on the same usage-based pricing as every capability. Start free with 1,000 usage units a month across everything — no credit card required.
- How do I run it?
- Install the recipe into a project from your dashboard to get a saved pipeline, then call it over the REST API, an SDK, or MCP — one request in, clean records out.
prepare-data-for-ai · 3 steps · Stable
Run this recipe on your own data
Start free with 1,000 usage units a month across every capability — no credit card. Install the recipe, adjust the steps, and call it in one request.
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Make data consistent and safe before it reaches a model — and tag it for triage.
