Tidyread

Rather than presenting a chronological firehose of every article published across all subscribed sources, Tidyread applies AI summarization to curate the most relevant content and condense it into organized, scannable digests delivered at times that fit the reader's schedule.

The result is staying genuinely informed across a breadth of sources without the time investment that traditional RSS reading requires.

The Recipes system is Tidyread's core organizational structure, allowing users to create multiple separate digest workflows tailored to different information needs.

Each Recipe is a configured combination of specific RSS feed subscriptions, a customized AI summary prompt that defines what kind of summary to produce and what elements to emphasize, a delivery schedule specifying when the digest should be compiled and sent, and filtering rules that exclude irrelevant content.

A user might maintain separate Recipes for their industry news morning briefing, a technology trends afternoon digest, and a competitive intelligence weekly summary each with different feeds, different summary styles, and different delivery timing.

The AI-Empowered Filter addresses one of the most persistent frustrations with content feeds: the presence of off-topic, low-quality, or irrelevant articles that dilute the value of subscribing to otherwise useful sources.

By applying natural language filtering rules to incoming content specifying what topics to include or exclude using plain language keywords and concepts rather than rigid boolean expressions Tidyread allows users to subscribe to broad, high-volume sources while extracting only the subset of content that actually serves their interests.