Overview:
Imagine a news dietitian. You tell it, “I’ve got 10 minutes,” and it serves a tight, balanced plate: the day’s big stories, from multiple outlets, with receipts for every sentence. The twist is a bias dial—you can nudge the framing left/center/right/neutral and instantly see how the language and emphasis change, plus which source contributed what. It tracks how diverse your sources are, so you don’t get stuck in a bubble, and it’s all shareable as quotable cards with links to the original reporting. You can run it as a daily digest, a browser extension on any article, or quick push updates when something truly matters.
The Trends:
Mainstream publishers and startups are embedding AI-generated, editor-reviewed summaries directly into articles to give fast ‘key points’ readers can scan before diving into full stories. (1)
Research and applied systems are moving toward retrieval-augmented, discourse- and consistency-aware summarization (RAG plus scoring/reranking) to reduce hallucinations and produce structured, trustworthy news digests. (2, 3)
Tools and research that surface fine-grained bias indicators, credibility scores, and ideological/contextual metadata (browser plugins, annotation systems) are becoming common to help readers judge source slant and reliability. (4, 5)
Personalized ‘media diets’ and nudging interventions—including recommendation nudges and configurable bias sliders—are shown to increase exposure diversity and let users intentionally broaden or narrow their news intake. (6, 7)
Growing information/alert fatigue has driven demand for time-boxed, lower-frequency news experiences (daily/briefing modes, curated digests, and ‘focus windows’) as audiences opt to limit notifications and reduce cognitive overload. (8, 9)
Your Answer:
What it is: an AI-powered multi-source news summarizer that produces short, timed digests and shows the underlying sources plus a source-diversity score — with interactive "bias" sliders that let users nudge summaries toward left, center, right, or neutral framings.
How it satisfies users: lets busy people hit a personal media-diet goal (e.g., 10 minutes of news/day) by time-boxing summaries, surfacing conflicting perspectives, and giving a quick, actionable take so users stay informed without doomscrolling.
How it resolves pain points: reduces time spent sifting articles, breaks filter bubbles by quantifying diversity and surfacing minority viewpoints, and improves media literacy by highlighting which sentences came from which source and why the summary shifted when bias sliders move.
Key UX/features: daily timed digest (email/app/push), browser extension for one-click multi-source scrape, bias presets, custom source lists, explainable citations, shareable quotables and one-tap deep-dive links to original reporting.
Your Roadmap:
No-code web app using Bubble: build a simple UI with a headline feed, three 'bias' sliders (left/center/right, optimistic/negative, sensational/factual), and a summary pane.
Use Zapier/Make to fetch RSS + Twitter/X + Google News into Airtable; run each article through an LLM summarization API (few-shot prompt for neutral + biased tones) and store outputs.
Compute a simple source diversity score in Airtable (unique domains / total sources) and show time-box controls (e.g., '10-minute brief', '5 stories').
Launch as an invite-only web MVP, collect feedback, iterate UI and prompts; monetize with a small subscription or donate/pay-what-you-want model.