AI Recipes
The AI Recipes tab is a community library of end-to-end blueprints for building AI use cases. A recipe describes the problem, the data, the model, the workflow, and how to evaluate it, so you can start from a proven approach instead of a blank page.
What a recipe contains
- Overview — title, short description, who created it, industry, primary use case, data modality, difficulty, and time to first prototype
- Problem & output — the business or research problem and the expected output
- Model & approach — model family, specific model / checkpoint, training strategy, deployment target, recommended stack and tooling
- Workflow steps — the steps to follow, in order
- Dataset ingredients — the datasets the recipe calls for
- Evaluation metrics — how to measure success
- Constraints — risk level, latency requirement, and whether it's a regulated environment
Browsing and filtering
Search with Search recipes…, then filter the library by Data Type, Use Case, Industry, Model Family, Training Strategy, and Difficulty. ♡ Saved narrows to recipes you've saved, and ⇅ Sort changes the order (for example Top). The recipe count sits on the right.
Each card shows its difficulty, use-case and industry tags, the author, time to prototype, and its vote, view and comment counts. Open one to see the full recipe in Overview, Datasets, Model & Training, Evaluation, How-to, Products, and Comments tabs.
Using a recipe
- ⧉ Use this Recipe — clone the blueprint into your workspace, pre-filled and ready to adapt. The datasets, model config, and workflow steps come with it, and your copy is shared with everyone in the workspace.
- Vote — upvote or downvote recipes to help the community surface the best ones
- ♡ Save — keep a recipe for later; the ♡ Saved filter shows just those
- Comment — discuss a recipe, reply to others, and flag content; you can edit or delete your own comments
Publishing your own
Share your approach by publishing a recipe. Fill in the recipe fields, add workflow steps, dataset ingredients, and metrics, then publish it to the community. You can Unpublish it later if you want to take it down.