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Tree-OK

Research workspace for our AI education startup. This repo collects source material, analysis, and open questions so the whole team can engage with them — read, challenge, and extend.

Contents

Path What it is
research/01-instagram-obsidian-vault/ An Instagram Reel claiming to show a "leaked" Anthropic engineer's Obsidian vault — a case study in knowledge-graph visuals as viral content.
research/02-marble-skill-taxonomy/ The open-source Marble Skill Taxonomy (withmarbleapp/os-taxonomy): a prerequisite DAG of 1,590 primary-school micro-topics, verified and analyzed.
research/03-fields-and-questions.md The professional/academic fields these touch, and 3 strategy questions per field for our project.
research/04-question-foundations/ Working answers to all 18 questions — one doc per field, grounded in computation on the real dataset, each ending with the decisions the team still owns.
research/05-kickoff-agenda.md 30-minute kickoff: the three decisions that unblock everything else.
prototypes/ Runnable demos — frontier_demo.py computes what a learner is ready for, and the full prerequisite path to any topic, on the real data.
decisions/ Decision log (ADRs). Three seed decisions are accepted-unless-challenged — challenge window closes 2026-07-23.
vendor/os-taxonomy/ Pinned snapshot of the Marble dataset (ODbL/CC-BY-SA — read its README before building on it).

Quick start

python3 prototypes/frontier_demo.py --mastered-through-age 6   # what's a learner ready for?
python3 prototypes/frontier_demo.py --path "Equivalent fractions"  # how do you get to a topic?
python3 prototypes/frontier_demo.py --verify                   # is the vendored data intact?

How to contribute

Each analysis doc ends with open questions. Pick one, add your take (a new section, a linked doc, or a PR comment), and tag the people who should weigh in. Nothing here is settled — the analysis is a starting point, not a conclusion.

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