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.
A FEEDS API LAB COLLECTION
Data & delivery
Reliable workers and reusable contracts.
Use this collection when the difficult questions move from what a feed contains to how a system consumes it. Server delivery and prompt distribution look different on the surface, but both benefit from explicit versions, validation, and recoverable changes. Read the server guide to plan conditional requests, checkpoints, and a bounded retry policy. Read the prompt-library guide when the changing resource is a task template rather than a news story. In either case, define how the consumer detects a change, how it decides whether the new version is acceptable, and how it returns to a known good state. Treat successful transport and successful interpretation as different outcomes. A response can arrive on time and still be unusable for the task. The articles below turn that distinction into practical implementation questions.
Your reading list
Data & delivery
Server Feeds API: Conditional Requests, Retries, and Freshness
Build a polite polling strategy around conditional HTTP requests, source-level backoff, durable checkpoints, and honest freshness signals.