Hey everyone! I've been diving deep into using ChatGPT for various tasks like planning, system building, and creative strategies mainly for my personal projects, small business development, and app prototyping. Recently, I've been trying to get my workflow sorted out using the Projects feature, but I'm encountering some challenges.
My main issue is the growing number of lengthy, multi-topic chats. Here's what I'm facing:
- Some conversations get so long that they really slow down performance or lose context.
- The token limits make it tough to reference or reframe previous work.
- I often find myself either repeating things in different chats or losing valuable ideas because they're buried deep.
I've started to use the Projects tab more intentionally, creating dedicated threads for different domains like content work, podcast scripting, app development, business ops, and sprint planning. Still, I'm trying to figure out how to use this feature practically without it becoming a hassle.
I'd love to hear your tips:
- How do you handle multi-chat projects? Do you use summaries, pinned messages, or external documents?
- What are your favorite ways to keep chat history organized over time?
- Any suggestions for syncing across multiple threads without losing the overall picture?
- How do you update projects or keep your GPTs in sync with evolving context, especially if memory isn't active yet?
Any advice, systems, workflows, or insights you could share would be greatly appreciated!
3 Answers
When chats start lagging, I prompt ChatGPT to generate a summary of the conversation so that I can continue in a fresh chat. It usually works pretty well! Just make sure to update your project files with that summary before switching chats. I also keep a text document, something like "current.txt", which holds a running list of important features and ideas. That way, I can ask GPT things like, "based on current.txt, what should I focus on next?"
I've learned that it's best not to trust the canvas mode for coding suggestions—it's better to ask for code in a specific format instead.
Yeah, definitely don't rely on the canvas too much—often it overwrites your previous work. Just a little warning there!
I recommend using all the features available—set custom instructions for each project and create separate chat threads for specific tasks. Label them as needed. Regularly copy and save your conversations into a text file to avoid context issues and always update your working documents so all threads stay in sync. Also, try to manage your chat lengths to prevent lagging; once you hit around 300k characters, things start to slow down.
I had a similar experience! After exhausting traditional GPT chats, I switched to Projects thinking it would be easier to manage, but I found it tough since you can't invoke your trained custom GPT inside a project, which is a bummer. So now, I use a split strategy: brainstorm with one GPT and manage projects with another.
I totally slack on updating those project files regularly, but I agree that it would help tons! I’m going to try that expanding context file idea. I've noticed sometimes GPT becomes less informative when it starts lagging, so I guess keeping that context updated is key.