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The catalog

Recipes

Recipes are plain-English build guides. Each one stands up a working Senzing solution, linking the records that refer to the same person or organization across your data sources, through a short sequence of prompts you paste into your AI assistant. No code to write. Every recipe tells you what you’ll need, how long it takes, and exactly what you’ll have when you’re done.

Status: ✅ verified (test-built) · 📝 draft.

Browse by what you want to build: your use case (fraud, compliance, customer-360), the difficulty you’re comfortable with, and the kitchen you’ll cook in (local laptop or AWS). Recipes are starting points, not gospel. Swap in your own data sources and adjust as you go.

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First time? Do the one-time setup first. Then come back and cook.

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Use case Difficulty Kitchen
Chef: Clair Sullivan
Easy Local Fraud ~30m (clock time)
What you'll makeA meal. With three plain-English prompts: ingest two CORD datasets and get a markdown merge report; (optionally) serve it up…
Chef: Nigel DeFreitas
Advanced AWS Compliance a few hours
What you'll makeA meal. Map two provider datasets, deploy an AWS pipeline, run Senzing V4 ER and export; serve it in an…