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AI Guide
What Should Your AI Remember About You?
A remembered preference can save repetition, while an outdated assumption can shape a later reply. This Guide offers a small way to choose and check the context you reuse.
These are suggestions to adapt to your situation. Check important details against current original sources before acting.
Task
Choose reusable context deliberately
Select stable preferences that may help another conversation.
Approach
Turning off and removing can be different actions
Memory, history and files can require separate controls.
Takeaway
Check a correction in a fresh conversation
Use a fresh low-stakes chat to notice whether an old assumption returns.
The task
What you may find useful
Choose context that may be useful across conversations and notice what would be better kept in one task or in your own files. You could begin with a formatting preference used across tasks and compare it with a project fact that may expire next week.
Starting point
Before you begin
Memory, chat history, instructions, uploaded files and connected sources can be separate layers. Check the current help for your product and account rather than assuming one off or delete control covers them all.
Try it
An approach you could try
Start with one short, stable preference, such as using metric units or giving plain-language explanations.
Consider whether it would still help in a different conversation next month. Temporary situations may become stale background.
Keep passwords, keys, full private records and unnecessary information about other people out of a reusable memory layer.
Use an inspectable project brief for exact facts, decisions and source links, attaching only the portion needed for a task.
Check the result
What to check afterward
Review the product memory view for a statement that is inaccurate, too broad or no longer relevant.
After a correction, try a fresh low-stakes conversation and notice whether the old assumption still appears.
If it does, inspect other possible context sources such as history, instructions, files or connected apps; removal and retention behavior remains product-specific.
Next step
Where to go next
You could keep convenience preferences in the product and the durable project record in your own files. The project-vault Guide shows one small way to organize that record; no memory setting guarantees correctness or complete deletion.
AI Guide note
How to use this guide
AI Guides are general editorial guidance, not professional advice or guarantees about accuracy, safety, suitability, performance, or outcomes. Tools, terms, prices, features, and laws can change. Check important details against original sources, product terms, reliable references, and qualified help where needed.
Source trail
Current product controls and related LifeHubber reading
The official help pages below document the product-specific differences described in this guide. Features and settings can vary by plan, account type, region, workspace, and rollout, so readers may want to check the current page for the product they use.
OpenAI Help Center - Memory FAQ
OpenAI Help Center - ChatGPT Custom Instructions
Google Gemini Apps Help - Saved info and past chats
Google Gemini Apps Help - Privacy Hub
Anthropic Help Center - Claude chat search and memory
Anthropic Help Center - Claude personalization features
The AI Project Vault: What To Save Outside Any Chatbot
What to explore next
Keep useful context in your own hands
A chatbot's memory is only one layer. Keep the project facts you cannot afford to lose in files you can inspect and move.