Room to explore
A closer look.
Longer explanations, examples and connections.
AI Agents Need Maintained Knowledge, Not Just More Context
Giving an agent more text is easy. Giving it the right method, with scope, limits, provenance and a current edition, is a harder knowledge problem — and a more useful direction for Vedokrok.
Read the story LongreadBooks, Summaries, Highlights and Methods: Use the Right Tool for the Job
A book, a 15-minute summary, a resurfaced highlight and a practical method are not competing versions of the same thing. Each is strong at a different stage of learning and application.
Read the story LongreadKnowledge Is Not a Streak: What Habit Trackers Can and Cannot Do
Streaks are useful when repetition is the behavior you want. They are a poor default for episodic decisions, investigations and other knowledge work where choosing the right method matters more than showing up every day.
Read the story LongreadVedokrok vs Blinkist, Headway and Shortform: A Different Job After the Summary
Book-summary apps are good at compression, discovery and guided learning. Vedokrok is trying to solve a different problem: choosing and applying maintained knowledge in a real situation.
Read the story LongreadWhat Is Vedokrok? Practical Knowledge You Can Use, Check and Update
Vedokrok is an experiment in maintained practical knowledge: small enough to use in a real situation, explicit about its limits, and portable enough to work with both people and AI.
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