How to organize ideas buried in ChatGPT and Claude conversations

Pick one conversation that contains an idea you still care about. Read it looking for five things: the user's problem, the proposed solution, the evidence, the choices you actually made, and the next uncertainty. Put those in a short document and link or identify the original conversation. Remove credentials, client details, and unrelated personal material before sharing it with another tool.

A hypothetical thread about appointment scheduling might contain three audiences and several feature lists. Do not collapse all of that into a single confident business plan. Choose one audience to investigate first and explain why. Label the other possibilities as alternatives rather than accepted scope. When the conversation says “maybe charge monthly,” the extracted note should still say “pricing assumption,” not “approved subscription model.” Finish with one concrete question that a real conversation or test could answer. This manual version works today with a plain document; the important part is the distinction between discussion, evidence, and commitment.

Use Import from a conversation to propose a structured project from selected material. Review the drafted title, problem, solution, audience, decisions, and open questions against the conversation you supplied. Correct inferred details and remove ideas that were abandoned. Creation follows your review and approval; an organized draft is not independent verification of what the conversation claims.

Give the project a concrete next action, such as asking three prospective users how they currently handle the problem. Put source links in Inventory, uncertain claims in the working record, and lasting limits in Authority. Keep human choices with their reasons in Decisions. If there is no code yet, do not invent implementation progress just to fill Health or Work. The record can begin with a research task and a clear unknown.

When you connect an agent, ask it to read this reviewed project before proposing more planning. Have it identify the task and the evidence it needs. If it suggests a new audience or feature, treat that as a proposal until you decide. End the session with what was learned and what to do next, not another unbounded brainstorm.

An imported idea becomes useful when it reduces the cost of taking the next step. Choose an action with an observable result: interview a user, reproduce a problem, compare an existing workaround, or test a tiny prototype. Avoid “research everything” or “build the platform.” Write down what would change your mind, so the next session can recognize an answer rather than accumulating more notes.

If the idea is not a priority, park it with its reviewed summary and next question. You do not need to repeat the import each time a chat revisits the topic. When returning, inspect the existing project and add only genuinely new evidence. If you later start building, the shared-context use case describes how to keep the work legible across agents. Hark does not automatically transfer your private ChatGPT or Claude history between products; you choose the material and maintain the record that survives it.