An easy way to imagine how AI retains information is to picture a long, narrow table where dominos are placed at one end and gradually slide toward the other as more are added. As the conversation progresses, new dominos push older ones closer to the edge, eventually causing the earliest ones to fall off the table when the space runs out. This analogy illustrates how AI’s context windows operate: they have a fixed limit for storing conversation history. When full, the oldest parts of the chat are discarded to make room for new input.
Modern language models like ChatGPT, Claude, and Gemini have ways to handle these full context windows by automatically “compressing” or “condensing” the conversation, often pausing to reorganize the data into a more manageable form. For instance, Claude may halt the dialog temporarily to reduce its memory load. However, users can’t always predict when this compression occurs, and most mainstream applications don’t offer an explicit feature to manually trigger this process.
There is a method to manually summarize and restart a lengthy chat. By distilling the conversation into a concise summary, you can reset the AI’s context for a new thread—saving tokens and maintaining focus. Instead of asking the AI to shorten the entire dialogue directly, which risks losing important context, you can use a targeted prompt like:
Create a brief handoff summary I can paste into a new chat. Include: our goal, key decisions, critical details, and the next step. Keep it short enough to read in under a minute.
This approach produces a compact overview highlighting the essential information for starting fresh. I tested this with a detailed discussion about porting an old Apple II game to a Raspberry Pi 5. The AI summarized the conversation effectively, emphasizing key points such as hardware capabilities, legal considerations, and next steps, allowing me to continue smoothly in a new chat thread.
To do this, simply insert the generated summary into a new chat with a prompt like:
Let’s continue this conversation. Here’s where we left off: [Insert summary here]
Next time your dialogue gets long or complex, try this technique to keep the key points at the forefront and avoid losing crucial context along the way.