About
TrustDigest AI is a focused mobile app by L7 for readers who want faster context from RSS feeds, article summaries, claim checks, and bias analysis.
Methodology
TrustDigest AI was built for readers who want more control over their news sources and more context before trusting or sharing an article.
News often reaches readers through scattered links, feeds, and search results. The article is easy to find; the context needed to judge it usually takes longer. Summaries can help readers move faster, but speed alone can hide what matters: which claims are being made, what is missing, and how the story is framed.
TrustDigest AI is built around RSS, Atom, and XML feeds chosen by the reader. That keeps the workflow centered on deliberate sources instead of a black-box recommendation stream. The app then summarizes the article, extracts factual claims, checks them with AI-assisted analysis, reviews bias and missing perspectives, and shows sources consulted with a reliability signal.
How it works
TrustDigest AI helps you collect articles from RSS sources, summarize them, and review AI-assisted verification before you decide what to trust.
Search for news sources or paste RSS, Atom, or XML feed URLs. Free accounts can save up to 10 feeds, and TrustDigest AI Pro can use up to 50 feeds.
The app fetches headlines from your selected feeds and shows article details, source names, publish dates, and available images.
When you ask for a summary, TrustDigest AI uses the article URL or extracted article text to create a concise AI summary.
Verification extracts claims, checks them with AI-assisted analysis, reviews bias and missing perspectives, and returns sources consulted with a reliability signal.
You can save articles, summaries, and verification results, then organize saved articles into collections.
Use cases
TrustDigest AI is built for readers who want a faster path from headline to context without losing sight of the original source.
Use RSS feeds to follow publishers, blogs, institutions, or topic sources that matter to you.
Generate summaries when you need the main points before deciding whether to open the full article.
Run verification on articles that make specific factual claims, then review extracted claims, sources, and the reliability signal.
Use bias analysis to identify framing choices, missing perspectives, and balance concerns before trusting a single article.
Keep useful articles, summaries, and verification results in Saved, and group articles into collections.
