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How do you keep AI from forgetting your long-term projects?

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How do you actually use AI for long-term planning?

I've noticed something while building products.

AI is amazing at answering questions, but the moment a project stretches beyond a few conversations, things start to break down.

Every new chat means I have to explain:

  • what I'm building,

  • why I made certain decisions,

  • what I've already tried,

  • and what my goals are.

Eventually, I spend more time rebuilding context than making progress.

I'm curious how others handle this.

Do you:

  • Keep one massive conversation?

  • Store everything in Notion or docs?

  • Start fresh every time?

  • Have a workflow that actually works?

For me, this has become one of the biggest bottlenecks in using AI effectively, especially for startups and long-term projects.

I'd love to hear how you're solving it—and whether you think AI should evolve beyond chat into something that remembers context and helps compare decisions over time.

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I instruct the AI to summarize the DecisionRecord made during the conversation and create a document that includes background information for the next conversation. I then have the AI load that document into a new conversation .

I usually keep a lightweight project document with the goals, architecture, key decisions, and constraints, then reference it in new chats. It takes a few minutes to maintain but saves a lot of repeated explanation

Well there is the second brain approach which can work well:

I usually save notes outside chat because fresh conversations lose important decisions. Have you found any method that reduces this extra work?

How would you handle outdated context when project priorities change?