Without repeating like a parrot: How to make the most of your AI tool's memory

The article explains how to manage the memory of AI tools to avoid repeating explanations and maintain workflow continuity. Noam Cohen recommends saving stable preferences, creating handoff summaries, and being cautious with sensitive information. Memory is not an absolute record and must be updated manually.

The article explains how to manage the memory of artificial intelligence (AI) tools to avoid repeating explanations and maintain workflow continuity. Noam Cohen, founder of CritiqeIL, details the difference between memory saved across conversations, the current conversation context, and a work summary that the user brings themselves. He recommends saving stable preferences (language, field of expertise) and updating changing details such as quotes or deadlines. For ongoing projects, it is advisable to create a short handoff summary at the end of each conversation and attach it to the next one. The article warns about privacy risks: medical, financial, or client information requires caution, and one should use temporary conversations or remove identifying details. Additionally, deleting a conversation does not automatically delete saved memories, and this must be checked separately in the service settings. The main recommendation: treat the tool's memory as an assistant, not as a source of truth, and keep important decisions also with the user.