How to Prompt Guide

Learn how to communicate effectively with AI through iterative refinement.

Human-AI Collaboration

Master the Art of AI Prompting

A collaborative approach to getting exceptional results from artificial intelligence

The Collaborative Prompting Philosophy

Effective AI prompting is not about commanding a machine - it's about collaborative iteration. Think of it as working with a brilliant but literal partner who needs clear direction and feedback to deliver exactly what you envision.

🤝Collaborative

Treat AI as a collaborative partner, not a command-line tool

🔄Iterative

Expect and embrace multiple rounds of refinement

🎯Alignment

Focus on aligning AI understanding with your vision through detailed feedback

1Step 1: Express Your Idea, Request a Plan

Start with your vision and let AI propose an approach

  • 1Describe what you want to achieve in natural language - no technical jargon required
  • 2Ask the AI to propose a plan or approach before diving into implementation
  • 3Be specific about your goals, constraints, and any preferences you have
  • 4Example: "I want to build a dashboard for tracking my team's productivity. Can you outline an approach?"

2Step 2: Analyze and Correct in Detail

Review the AI's proposal and provide specific feedback

  • 1Carefully review the proposed plan for gaps, inaccuracies, or misalignments
  • 2Provide detailed corrections: what's missing, what's wrong, what needs adjustment
  • 3Don't hesitate to ask questions about parts you don't understand
  • 4Example: "Your plan mentions user authentication, but I don't need that. Focus on single-user local storage instead."

3Step 3: Iterate Until Perfect Alignment

Continue refining through multiple rounds of feedback

  • 1Repeat the analyze-correct cycle until the plan matches your vision exactly
  • 2Each iteration should bring you closer to mutual understanding
  • 3Be patient - complex projects may need 5-10 iterations
  • 4Example: "Almost there! Now add dark mode support and mobile responsiveness to the plan."

4Step 4: Validate and Launch Implementation

Confirm the approach and begin building

  • 1Once satisfied with the plan, explicitly approve it to start implementation
  • 2Ask for a final summary before implementation begins
  • 3Set clear expectations about what "done" looks like
  • 4Example: "Perfect! Please implement this plan. Start with the core features and we'll iterate from there."

5Step 5: Test and Analyze Results

Evaluate the implementation against your requirements

  • 1Test the implementation thoroughly against your original requirements
  • 2Document what works, what doesn't, and what needs improvement
  • 3Compare actual results with your initial vision
  • 4Example: "The dashboard works, but the charts are too small on mobile. The export feature is missing."

6Step 6: Iterate Until Satisfaction

Refine based on testing feedback

  • 1Return to step 2 with your test findings for further refinement
  • 2Continue the cycle until the solution meets all your requirements
  • 3Don't settle for "good enough" if it doesn't match your vision
  • 4Example: "Fix the mobile charts and add the export feature. Also, can we add a weekly summary view?"

The Key to Success: Patience and Clarity

Remember: AI is a powerful tool that works best with clear, iterative communication. The more specific your feedback and the more patient you are in the refinement process, the better your results will be. Treat each conversation as a collaboration, not a transaction.