Hutch: An AI Reading Assistant That Helps You Read More, Not Less
The phrase "AI reading assistant" now describes tools that want to read for you. They generate summaries of articles you never open. They send digest emails of content an algorithm picked. They auto-curate feeds based on trends, not on what matters to you.
That's not assistance. That's replacement.
A real AI reading assistant removes friction from your reading workflow. It helps you decide what to read faster so you spend more time reading. The goal isn't fewer articles in less time. It's more of the right articles that brings value to you, read properly.
How Hutch uses AI
Hutch generates a TL;DR summary for every article you save. Not a replacement for reading. A tool for deciding whether to read it now, later, or not at all.
That's it. No auto-curated feeds. No digest emails. No "here's what you should read today" notifications. No algorithmic ranking that quietly decides what you see.
You save what catches your attention. Hutch summarises it so you can triage faster. When something looks worth your time, you open it and read the real thing in a clean, distraction-free reader view.
The AI stays in the background. You stay in control.
Hutch doesn't decide what you read
Most AI reading tools sit between you and your content. They filter, rank, and curate. Over time, you stop choosing what to read. The algorithm chooses for you. Your reading diet narrows to whatever the model thinks you want.
Hutch works differently. We despise the social media dumbification of mankind. Every article in your list is one you saved yourself. The AI summary helps you scan your own list faster, but it never removes, hides, or reorders anything. Your reading list is yours.
This is a deliberate design choice. An AI reading assistant that decides what you should read is just another feed algorithm. You already have enough of those.
The loop: Save, Summarise, Triage, Read
The workflow has four steps.
1. Save. Hit the browser extension on any page. One click, keyboard shortcut, or right-click. The article lands in your reading list.
2. Summarise. Hutch generates a TL;DR for every saved article. The summary highlights the key points so you know what the article covers before you open it.
3. Triage. Scan your list by reading the TL;DRs. Decide what to read now, what to save for later, and what to skip. No algorithm involved. Just you, making faster decisions.
4. Read. Open the article in a clean reader view. No ads, no pop-ups, no cookie banners. Just the content, built for comfortable reading. Dark mode included.
Coming soon
Two features are on the roadmap. Both push this further without crossing the line into auto-curation.
Personalised AI summaries. Get Summaries shaped by what you care about. If you're a developer, the summary pulls out technical details. If you're a founder, it highlights business implications. Same article, different lens. Based on preferences you set, not ones an algorithm infers.
Preference learning. "More like this" and "less like this" buttons update a personal preference model. Over time, your reading list re-ranks to surface articles that match what you find interesting. But nothing is hidden. Nothing is removed. You can review and edit your preferences at any time. The model works for you, transparently.
Both features keep you in control. The AI learns what you like. You always have the final say.
If you want an AI reading assistant that helps you read more of the right things, give Hutch a try.