AI workflows
AI Feeds API Patterns: Enrich Content Without Losing the Source
Design a bounded enrichment workflow for summaries and labels, with source evidence, review states, and sensible failure handling.
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Governance
Connected ideas across feed formats, practical engineering, and thoughtful AI workflows.
Use this collection to think through review, version ownership, and the boundary between evidence and permission. A published prompt is not permission to access a private source, and a model card is not proof that a model suits your particular task. Record who can approve changes, which artifacts a result depended on, and what should happen when documentation is incomplete. These guides favor explicit release states and inspectable records over invisible changes. Apply their questions to a small workflow first, then expand the rules as responsibilities become clearer.
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AI workflows
AI Model Feeds API: Build a Useful Model Release Watchlist
Track model releases with revision identifiers, model-card evidence, evaluation context, and a clear distinction between claims and measurements.
Data & delivery
AI Prompts Feeds API: Version a Reusable Prompt Library
Treat prompts as versioned records with explicit inputs, validation rules, review notes, and a repeatable path from draft to release.