Daily Deck
Daily Deck is a daily AI learning app for curious non-engineers. It generates seven cards a day in plain English, about five minutes of reading, built fresh each morning from live web search rather than a fixed curriculum.
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What it is
A daily AI learning app for curious people who are not engineers. Seven cards a day, plain English, five minutes — enough to stay genuinely current without pretending to be a researcher.
What it does
- Seven fresh cards every day, generated from live sources.
- Written for non-technical adults, in plain English.
- Open source and self-hosted.
How it works
The audience is the curious non-engineer: someone who keeps hearing about AI at work, does not intend to become a researcher, and would like to stop nodding along. Five minutes a day, in plain English.
Each day’s deck is seven cards in a fixed order, and the order is the lesson plan. A definition for a term you have heard but never pinned down. A from-zero core concept, then the next layer up from it. Something genuinely from this week. A tool worth looking at, deliberately excluding the three assistants everyone has already heard of. Then the two stories that actually mattered.
The cards are generated fresh every day against live web search rather than pulled from a fixed curriculum, which is the only way a "bleeding edge" card can be true. There is a read-aloud option and a review mode for the terms you have already met, and the whole thing is open source and runs on our own servers.
You can also ask follow-up questions on any card, which matters more than it sounds: the moment a five-minute explanation nearly lands is the moment most learning apps leave you stuck, and being able to ask "wait, why" is the difference between reading and understanding.
New accounts get the full app free for a month with no card, and after that generating a deck needs a subscription — there is no permanently free tier, because every deck costs real money in model calls and search. The tool-spotlight card deliberately excludes the three assistants everyone has already heard of, on the grounds that recommending the most famous product available is not a recommendation.