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GuidesBy featureAnyone who is tired of re-explaining their situation every conversation

Letting an assistant remember you, on your terms

For Anyone who is tired of re-explaining their situation every conversation.

Memory features let an assistant carry details across conversations, like your role, preferences or ongoing projects, so you do not repeat yourself. It is convenient, and it also means you are responsible for what it remembers and for correcting it when it drifts.

When to use this

You find yourself re-explaining the same background, your job, your preferences, an ongoing project, at the start of every new conversation.

  • Carries relevant details forward so you do not have to restate them each time
  • Adjusts tone or format to preferences you have stated before
  • Lets you view, correct or delete what it has stored about you

Workflow

  1. Let it remember stable facts, your role, your goals, your preferred format, not situations that change often

  2. Check what it has stored periodically and remove anything outdated or too personal

  3. Correct it plainly when it uses a wrong or stale memory, rather than working around it

  4. Keep especially sensitive details out of memory even if the feature allows storing them

  5. Turn memory off for a conversation when you want a clean slate on purpose

Prompts to try

Use it, adapt it, and make it your own.

Remember that [stable fact or preference] for future conversations. Do not remember anything from this specific conversation beyond that. Show me what you currently have stored about me if I ask.
Ask Bit to adapt it →

Human lens

  • You decide what is worth it remembering and what should stay out of memory entirely
  • You check in occasionally on what it has stored, since old or wrong memories quietly shape new answers
  • You correct it directly when a remembered detail is out of date rather than letting it persist

What to avoid

  • A stale memory can bias a new answer without you noticing, so review it occasionally
  • Do not store sensitive personal, medical or financial detail in memory by default
  • Personalised answers can feel more authoritative than they are, they still need checking

Related guides

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Using deep research without trusting it blindly

Deep research modes read many sources and return a longer, cited answer. They are powerful for a first pass, and they still need you to check the sources and the reasoning.

Letting an assistant take multiple steps on its own

Agentic modes plan a task, take a sequence of actions such as browsing, running code or editing files, and check their own progress along the way. They can save real time on chores with several steps, and they can also wander off course, so you set the boundaries and check the outcome.

Using projects to keep AI in context, not starting over

Projects or workspaces let you gather files, instructions and past chats in one place, so the assistant carries the right context into every new conversation instead of you repeating it each time.

Talking to AI out loud instead of typing

Voice modes let you speak naturally and hear a spoken reply, which suits thinking out loud, practising a conversation or getting help while your hands are busy. It is a different medium from text, not a smarter version of it.

Tools that fit: ChatGPT, Claude, Gemini, Grok · Reviewed 2026-07-19