AI for Everyday Work: Writing, Research, Meetings & DataYour AI workspace: projects, voice, files and agents · Lesson 4 of 17

Projects, memory and custom instructions

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Projects, memory and custom instructions

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Projects, memory and instructions

  • Stop re-explaining yourself
  • Three layers, three jobs

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Chapters

Stop re-explaining yourself

If you find yourself typing "I'm a marketing coordinator at a dental clinic group, use American spelling, keep it short" into every chat, your assistant has features built for exactly that. There are three layers, and each has a different job.

LayerWhat it holdsScopeWhere to find it
Custom instructions / preferencesWho you are and how you like answersEvery chatChatGPT: Settings > Personalization; Claude: profile preferences (plus Styles); Gemini: saved info and Gems; Copilot: personalization settings where your admin allows
Projects (workspaces)Files, instructions and chats for one client, product or goalOnly chats inside that projectChatGPT Projects, Claude Projects, Gemini Gems with files or a Gemini Notebook, Copilot Notebooks, a Notion page with Notion AI
MemoryFacts the assistant learns over timeAcross chats (and, in some tools, separately per project)ChatGPT and Claude memory settings; Gemini's personal context; review and delete entries

Names and plan availability change often; check your tool's help center if a menu has moved.

Custom instructions: short, stable, not secret

Good custom instructions describe you and your preferences, not a specific task:

About me: I coordinate marketing for a group of three dental clinics in Texas.
I write patient emails, social posts, staff updates and monthly reports.

How to respond:
- American spelling. Plain English at an 8th-grade reading level for patient content.
- Lead with the answer, then detail. Bullets over long paragraphs.
- Never invent prices, statistics or medical claims; write [CHECK] instead.
- When I ask for copy, give two options with different angles.

Avoid client names, passwords, or anything you wouldn't want in every conversation.

Projects: one workspace per recurring job

A project bundles instructions, reference files and related chats. Create one for each recurring stream of work: a client, a product launch, your weekly reporting, a course you're studying.

A strong project has:

  1. A clear name ("Client: Al Noor Hotels", "Weekly ops report").
  2. Project instructions with the rules that apply only here (tone, banned claims, approval steps, disclosure needs).
  3. Reference files that rarely change: brand guide, product sheet, glossary, last quarter's report, a "good example" of the output.
  4. A naming habit for chats inside it ("2026-09 newsletter draft").

In ChatGPT, projects can have project-only memory so what the assistant learns there stays there. In Claude, project knowledge files are available to every chat in the project, and memory can be kept separate per project. In Gemini, a Gem is a saved custom assistant with instructions and optional files; a Gemini Notebook (the product formerly called NotebookLM) answers only from the sources you add.

Memory: useful, but audit it

Memory lets the assistant carry facts across chats ("prefers tables", "works in hospitality"). You can usually ask "What do you remember about me?" and view, edit or delete entries in settings. Review it monthly:

  • Delete outdated facts (a former employer, a finished project).
  • Delete anything sensitive (health, finances, other people's details).
  • Correct wrong assumptions.
  • Keep client-specific context in a project, not global memory.

When you want a clean slate, use a temporary or incognito chat, which does not use or update memory.

Worked example: a freelancer's three projects

Daniela, a freelance virtual assistant in Austin, supports three small business clients. She creates one project per client with a one-page brief (services, tone, key contacts by role, what she may and may not promise), the client's email signature and a sample of approved messages. Her global custom instructions only describe her ("I'm a virtual assistant; American spelling; flag anything that commits the client to money or dates"). Now "draft a reply to this booking inquiry" inside the right project produces an on-brand draft on the first try, and client details never mix.

Hands-on: build your first project in 15 minutes

  1. Pick one recurring task you do at least weekly.
  2. Create a project (or Gem, or Notebook) named after it.
  3. Paste these project instructions and adapt them:
Purpose: help me produce [the weekly client update / social posts for X / monthly report].
Audience: [who reads it and what they care about].
Always: follow the attached style guide; use the attached example as the quality bar;
list any facts I should verify at the end.
Never: invent numbers, quotes or dates; promise discounts, deadlines or refunds.
Format: [the exact structure you want].
  1. Upload two or three reference files: a style guide or brand notes, one excellent past example, and a glossary of product names.
  2. Test it with a real task. Compare the result with what you got in a plain chat.

Before (plain chat): "Write this week's client update" produces a generic update with made-up metrics.

After (inside the project): the same request produces an update in the client's format, using the terms from the glossary, with "[CHECK: sessions number]" wherever you didn't supply data, plus a short "verify before sending" list.

Pitfalls

  • One giant project for everything; context gets muddled. Keep one per stream.
  • Uploading confidential files into a personal account's project.
  • Stale reference files: replace last year's price list, or the assistant will quote it.
  • Letting memory accumulate for months without review.

How to measure success

For your project's task, count follow-up rounds before a usable draft. A good setup gets you there in one or two rounds instead of four or five.

Key takeaways

  • Custom instructions describe you and your preferences; keep them short, stable and non-confidential.
  • Projects (and Gems, Notebooks) bundle instructions, reference files and chats for one recurring job.
  • Memory carries facts across chats; review and prune it monthly, and keep client context inside projects.
  • A good project includes a quality-bar example and a glossary, and tells the AI to flag facts to verify.

Check your understanding

Quick questions to lock in the lesson. They don’t count towards your certificate.

  1. You write weekly updates for two different clients. Where should each client's tone rules and reference files live?
  2. What is the best thing to put in global custom instructions?
  3. Your assistant keeps referring to a job you left last year. What should you do?

Put it into practice

Build one project for a weekly task with instructions and two or three reference files, then compare follow-up rounds with a plain chat.

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