NodePad vs ChatGPT Canvas: a migration guide

They solved different problems. Canvas gave you one anchored document beside a linear chat, and it is now being folded back into the chat as inline blocks. NodePad gives you the conversation itself as a spatial canvas: every message is a node you can branch, reference, and merge. If you used Canvas to keep one artifact steady while you iterated, inline blocks may serve you fine. If what you actually wanted was room to think in more than one direction, that is the problem NodePad is built for.

dimension NodePad ChatGPT Canvas
Status In active development. Removed from GPT-5.5 models in May 2026; replaced by inline writing and code blocks. Legacy model access is sunsetting through mid-2026.
What the surface is An infinite canvas where every message in every chat is a movable node. A single document or code block pinned beside one linear chat.
Branching Fork any message onto a new branch; the original thread continues untouched. No conversation branching; edits revise the one document in place.
Working across chats Multiple chats live on one canvas; merge pulls several of them into one answer. One chat per canvas session; no cross-chat context.
Reusing earlier context Reference any message from any branch with @, without re-explaining. Scroll back and paste, or rely on what the model recalls in-thread.
Models Claude, GPT, and Gemini on every plan; you pick per message. OpenAI models only.
Editing one artifact in place Not the focus; NodePad structures conversations rather than documents. This was the core strength, and inline blocks keep a version of it.
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