AI Pro RSS
AI Pro RSS: turn selected updates into a useful digest
An AI feed workflow begins with an editorial question: which updates deserve a reader's attention, and why? Use this guide to plan a digest that selects relevant entries, preserves their sources, and produces concise drafts an editor can check before publication.
Define the digest before selecting a model
Write a short brief naming the audience, topic, publication rhythm, and desired output. A weekly engineering digest might highlight changed documentation and explain the effect on maintainers. A research digest might group new papers by question. These are different tasks, so give the workflow an explicit selection rule before asking for summaries.
Keep a source record for each candidate: feed address, item identifier, canonical article URL, title, publication time, and retrieved text. Capture the source as it existed when you reviewed it. This creates a useful reference when an article changes after the digest is published.
Use a small editorial pipeline
- Select entries that match the digest's declared scope.
- Remove duplicates while preserving the original source identifiers.
- Ask for a concise draft tied to those identifiers.
- Compare every material claim with the supplied text.
- Approve the final copy and retain its source record.
Start with a modest batch that an editor can inspect in one sitting. For an installation update, ask the model to identify the changed prerequisite, the affected audience, and the practical consequence. If the source does not establish one of those details, leave it unresolved instead of adding a plausible explanation.
Make quality visible
Record the kinds of corrections editors make. A wrong release number needs a different response from an overly long summary or a missing source label. Use those examples to improve the task instructions and your test collection. OpenAI's prompt engineering guidance provides a primary reference for defining model instructions and context.
Keep selection quality separate from writing quality. A fluent summary of an irrelevant item still weakens a digest. Review whether the final collection answers the audience's question, represents the selected sources fairly, and avoids repeating the same announcement from several publishers.
Save the final approved digest alongside its inputs and prompt version. That record lets a future editor understand how an item reached publication and correct it without reconstructing the entire process. Continue with curated news planning when the main challenge is choosing a coherent collection.

Go deeper in Pro RSS Lab
AI summaries with sources
Build an AI feed-summary workflow that preserves source evidence, checks claims, handles excerpts, and supports corrections.
Read the full guide