ThoughtDAG — Make LLM context visible and editable

CHAT HIDES CONTEXT. THE GRAPH IS THE CONTEXT. Linear conversation Editable context graph Same prompt · different context AI conversation 87 messages Compare three research paths. Start with the first. Its advantage is… What if the core hypothesis fails? Consider another explanation… Also, what should I eat tonight? There is a new restaurant nearby. The history is here. Which parts enter the next request? research-paper.pdfp.7 Results The effect appears only in the experimental condition. Selected from the page Clipped passageresearch-paper.pdf · p.7 The effect appears only in the experimental condition Source linked · not wired yet Asked from sourceresearch-paper.pdf · p.7 What does this evidence actually mean? The source is in context Unrelated branchdetour What should I eat tonight? This history should not enter the research summary. Still connected Polluted summary 3 sources Research summary… also, consider hot pot for dinner. The prompt stayed the same. Polluted context changed the answer. Includes unrelated branch Will send1,284 tokens Preview what the model will receive Incoming ancestors: Research question Evidence A Dinner detour After deleting the orange edge: −47 tokens Context diff−47 tok The dinner detour left context Same prompt · regenerate Same promptask again Give me a bullet-point summary The words are identical. Only one edge changed. Reproducible context Clean answer 2 sources One: record the database version. Two: use independent reviewers. Three: resolve conflicts with a third reviewer. The unrelated dinner suggestion is gone. Answer updated in place One ruleThoughtDAG Wires are context. No hidden memory selector. What the model sees, why, and what was removed stay visible in the graph. Visible Editable Inspectable 01 · The problem Chat history is long. Context is still invisible. The interface shows what was said, not which history enters the next request. 02 · Externalize Ask from the source. Clip what matters. Ask from a selected passage, or turn a passage or figure into its own source-linked node. Provenance stays attached; context remains yours to wire. 03 · Inspect Before sending, inspect what the model will read. Preview source nodes, order, and token count. Context is no longer a hidden decision. 04 · Edit Delete one edge. Ask the same question again. The removed branch really leaves the request. The answer changes with the context. 05 · The protocol Most canvases organize information. ThoughtDAG edits context. You decide what enters and leaves. The graph is the context protocol before generation. 1 / 5 Invisible context