The fastest way to make ChatGPT and Claude useful on the same project is to stop treating each conversation like a fresh start. Put the links, notes, requirements, repo references, and open questions into a single Dump board, then share that board with both models.
Why this works better than copy-pasting prompts
Prompt copy becomes stale immediately. One chat has the latest spec, another has the meeting notes, and a third has the links you forgot to paste. A shared board gives both models the same project context, so you spend less time rebuilding state and more time comparing useful answers.
- ChatGPT can review the strategy and generate options.
- Claude can synthesize the same context into a cleaner plan.
- Your team can inspect and update the exact source material.
What to put on the board
The best shared boards look like a compact project brief, not a random pile of bookmarks. Add the pieces you usually repeat in every chat:
- Goals, constraints, and the definition of done
- Key docs, Figma files, specs, and repository links
- Open decisions, blockers, and rough hypotheses
- Checklists or next steps that need to survive between chats
How teams use it in practice
A common workflow is simple. One person curates the board. Another asks ChatGPT for exploration. A third asks Claude for synthesis or critique. Because both models read from the same source, the outputs are easier to compare and merge.
Dump also works when the humans are the bottleneck. Instead of sending five links and a paragraph in Slack, you share one board URL. That makes the handoff cleaner for teammates and for AI tools.
The positioning angle
If you need a short description, position Dump as a shared project context board for ChatGPT, Claude, and humans. That phrase is concrete, understandable, and maps directly to how people search for this problem.