Learn anything deeply
Turn lessons, books, lectures, and questions into a concept graph. Use teach-back prompts, practice questions, and spaced recall to move from exposure to durable understanding.
02 / Product
A focused branch for today. A source trail when rigor matters. A recall queue when memory matters. A synthesis canvas when thinking is ready to become work.
Next: inspect the intelligenceA calm operating surface
A focused branch for today. A source trail when rigor matters. A recall queue when memory matters. A synthesis canvas when the thinking is ready to become work. Nothing drifts into a disconnected copy.
This source may qualify your claim because it separates fluent recall from reconstructive recall.
One system, many minds
A student and a scientist need different workflows, not different foundations. Treefiny gives every person the same durable graph, then adapts the prompts, views, memory rhythm, and outputs to the work in front of them.
Turn lessons, books, lectures, and questions into a concept graph. Use teach-back prompts, practice questions, and spaced recall to move from exposure to durable understanding.
Build a literature trail from a real question. Keep sources, claims, evidence, counterevidence, quotations, and uncertainty connected so every synthesis can show where it came from.
Choose what deserves to stay available. Treefiny schedules active recall, resurfaces relevant context, and adapts review to what is becoming strong, weak, or newly useful.
Move fluidly between a focused branch, a mind map, an outline, and a wider knowledge graph. Every view reflects the same underlying ideas and relationships.
Develop connected material into a study guide, research brief, essay, plan, explanation, or original synthesis without losing sources, tensions, or open questions.
Compare options against explicit criteria, constraints, risks, and unknowns. Preserve the reasoning behind a decision and define what evidence should trigger a review.
The product surface
Treefiny is not eight disconnected tools in one subscription. Each surface reads and writes the same user-owned knowledge model, so a source can become evidence, a concept can become a memory, and a mature branch can become useful work without losing context.
Start with text, a question, a link, a document, an image, audio, or a fleeting thought. AI transcribes and prepares the inbox while preserving the raw capture and its origin.
Turn source notes and the user’s own permanent thoughts into stable, addressable ideas connected by explained relationships, sequences, and structure maps.
Separate what a source says from what the user believes and what the system infers. Track citations, support, contradiction, confidence, and the date a fact was checked.
Generate recall prompts from real knowledge, schedule spaced repetition, reveal why an item returned, and reconnect each memory to the context that makes it useful.
Branch, cluster, sequence, and compare ideas on calm canvases. Mind maps are navigable views of the graph—not isolated drawings that drift away from the knowledge.
Create plain-language programs with triggers, conditions, actions, and review. Begin with trusted templates, then adapt and share workflows without needing to code.
Ask precise questions, find connections, challenge claims, compare perspectives, and draft source-aware synthesis. Every suggestion explains why it appeared.
Turn a developed graph into useful work: explanations, flashcards, briefs, outlines, essays, plans, decisions, and next actions that remain linked to their foundations.
The knowledge model
Everything is a durable, typed object with provenance, time, status, ownership, and relationships. Hierarchy keeps a thread navigable; cross-links let knowledge behave like a graph. No important reasoning is flattened into an anonymous block of text.
Private alpha
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