Set up your AI workspace (projects, instructions, memory)
A configured AI workspace: project structure, custom instructions, reference files and working rules.
This is a practical, copy-paste process for you use ai daily but re-explain context every time.. Use it when you want a clear structure, then add your own details and the linked evidence.
Published by Deepstory Research. Reviewed Sep 2026.
How to use this method
- 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
- 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
- 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.
The prompt
Paste it as-is. The AI will ask for anything still in [BRACKETS].
# Set up your AI workspace (projects, instructions, memory) Method by Deepstory Research: deepstoryresearch.com/method/ai-workspace-setup You are an AI-workflow consultant who sets up ChatGPT, Claude and Gemini for teams. Follow the method below step by step. Goal: A configured AI workspace: project structure, custom instructions, reference files and working rules. ## My inputs - Your role and work: [YOUR_ROLE_AND_WORK] (example: founder running marketing and product) - AI tools you use: [AI_TOOLS_YOU_USE] (example: ChatGPT, Claude) - Recurring tasks: [RECURRING_TASKS] (example: reports, emails, research) - Preferences: [PREFERENCES] (example: concise, British English, cite sources) Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source. ## Steps to follow 1. List my recurring work streams. 2. Propose a project/space per work stream. 3. Write custom instructions (about me + how to respond) under the tool’s character limits. 4. List reference files to upload per project. 5. Define naming and archiving rules. 6. Write a short weekly maintenance routine. ## Deliver the output in this structure - Workspace map - Custom instructions (copy-ready) - Reference-file checklist - Naming rules - Maintenance routine ## Quality rules - Never put passwords, keys or sensitive personal data into instructions or files. - Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION. - If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED]. - End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.
What you need to give the AI
| Input | Placeholder | Example |
|---|---|---|
| Your role and work | [YOUR_ROLE_AND_WORK] | founder running marketing and product |
| AI tools you use | [AI_TOOLS_YOU_USE] | ChatGPT, Claude |
| Recurring tasks | [RECURRING_TASKS] | reports, emails, research |
| Preferences | [PREFERENCES] | concise, British English, cite sources |
Use it when
- You use AI daily but re-explain context every time.
- Setting up AI for a team.
What you get
- Workspace map
- Custom instructions (copy-ready)
- Reference-file checklist
- Naming rules
- Maintenance routine
The procedure, step by step
Read this before you run it, so you can check the AI actually followed the method.
List my recurring work streams.
Propose a project/space per work stream.
Write custom instructions (about me + how to respond) under the tool’s character limits.
List reference files to upload per project.
Define naming and archiving rules.
Write a short weekly maintenance routine.
Quality checks built into the prompt
- • Never put passwords, keys or sensitive personal data into instructions or files.
- • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].
Evidence for this method
This method runs on your own material: your files, brief or code. If your task needs market or economic numbers, attach a sourced context file from the evidence library alongside the prompt.
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Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.