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What it creates: A step-by-step guide with clear instructions, prerequisites, and expected outcomes.

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When to Use This

  • You’ve worked through a process with the AIs and want to document it for others
  • You need to teach someone how to do something specific
  • You’re creating onboarding material or internal documentation
  • You want to turn a problem-solving conversation into reusable instructions

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What You Get

A Tutorial typically includes:
  • Title - Clear “How to [accomplish X]” format
  • Overview - What you’ll build/learn/achieve
  • Prerequisites - What you need before starting
  • Time Estimate - How long this takes
  • Steps - Numbered, sequential instructions
  • Checkpoints - How to verify each step worked
  • Troubleshooting - Common issues and fixes
  • Next Steps - Where to go from here

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Example

Conversation context: You walked through setting up a multi-AI research workflow with the AIs, troubleshooting issues along the way. Generated Tutorial excerpt:
How to Run a Comprehensive Research Session in Suprmind Overview: You’ll learn to use multi-AI orchestration for thorough topic research, producing a cited research document in one session. Time: 20-30 minutes Prerequisites:
  • Active Suprmind account
  • A specific research question (not just a topic)
Step 1: Create a focused project Create a new project with a descriptive name and add custom instructions: 
Research focus: [your topic]
I need: cited sources, multiple perspectives, actionable conclusions
Audience: [who will read the output]
Step 2: Send your research question Frame it as a specific question, not a broad topic:
  • Good: “What evidence exists for the 4-day work week improving retention in tech companies?”
  • Bad: “Tell me about 4-day work weeks”
Let all 5 AIs respond. Note which perspectives are most interesting. Checkpoint: You should see 5 responses, each building on the previous. Step 3: Deepen with targeted follow-ups Pick the 2-3 most interesting angles and dig deeper: 
@Perplexity - Find specific case studies with retention data
@Claude - What are the counterarguments to the positive findings?
@GPT - How would you design a rigorous study to test this?
…

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Tips for Best Results

  • The best tutorials come from conversations where you actually worked through something
  • Include the mistakes and troubleshooting from your conversation - readers will hit the same issues
  • Ask the AIs to explain steps in simpler terms if the topic is technical
  • Generate after you’ve solved the problem completely - incomplete conversations produce incomplete tutorials
  • Add screenshots or visual references when you publish (the generated text will indicate where they should go)

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Best AI Engine for This Type

GPT-5.2 - Produces clear, consistent step-by-step instructions with good formatting and logical progression. Claude - Good when the tutorial needs more explanatory context around each step (the “why” behind the “how”).

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Still Need Help?

Reach out to us at [email protected] or use the feedback button in the app.