Chat long enough and it forgets what you decided. A definition quietly drifts. You change one assumption and it keeps building on the old one — and never tells you. This isn't about a smarter model; switching to Claude or Gemini won't fix it. It's the shape of "chat" itself: it stores your thinking as a decaying, disconnected stream of messages. Draftlize stores it differently.
ChatGPT is a fine chat tool — no argument there. But chat is a terrible place to *keep* decisions, and that's the real reason it drifts out of sync over a long project.
| Draftlize | ChatGPT / Claude / Gemini | |
|---|---|---|
| Weeks in, still remembers what you decided | Decisions become cards, permanent | Chat history decays |
| Change one thing, what it breaks gets flagged | Dependency graph + stale marks | Builds on stale assumptions silently |
| Self-contradictions surface on their own | Conflict detection across discussions | Never cross-checks |
| Every decision has a fixed address to cite | Cards are addressable (URL, ID) | Buried in the chat stream |
| Scattered ideas converge into a plan | The card graph accrues | Left in chat, you dig it out |
| Open a new chat, the context is still there | The card graph IS the context | Memory summary, best-effort |
| Same context from Claude Code / Cursor | MCP + CLI | Each tool remembers separately |
| Fast one-off questions | overkill | Its home turf |
"Summarize this PDF." "Write a SQL query for X." "Translate this." ChatGPT is great. Draftlize for these is overkill — you don't need a substrate for things you'll never reference again.
Voice chat, image understanding, the plugin ecosystem — these are real, useful things ChatGPT does. Draftlize is text-based and focused on a narrow problem.
For roles where the conversation itself is the work (customer support drafting, sales outreach, content generation), chat history is fine. Draftlize is for when the conversation is *upstream* of the deliverable.
The kind of work where you decide pricing in week 3 and need it still alive and citable in week 7's chat. Chat memory degrades; cards don't.
If changing decision A invalidates plan B, you need a tool that knows about the dependency. ChatGPT will happily generate plan B from outdated A and never tell you.
If you use Claude Code to implement, ChatGPT to brainstorm, Claude Desktop to read research — each tool remembers separately. Draftlize cards are the one context any of them can read and write via MCP.
ChatGPT is a great way to think out loud. Draftlize is where the thoughts go to live.You probably want both. They're not substitutes — they're layers.
Keep ChatGPT for the one-off questions. Add Draftlize for the multi-week product work where decisions need to compound.
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