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7 Easy Steps to Build Your First GPT Fast ⤵️

Problem: As a Product Manager (PM), creating a GPT that delivers real value can be overwhelming.

  • Solution: Follow these 7 simple steps to create a powerful GPT that works effectively, delivers relevant responses, and integrates seamlessly into your workflow.

Step 1: The Basics

  • Define Your User: Tailor your GPT to meet their needs.

  • Set the Tone: Match your GPT’s voice to your brand’s tone.

  • Conversation Starters: Use them for a fast start. Make the interaction smooth from the beginning.

  • Tip: Always use “Configure” for full control. Don’t create the logo in the builder interface.

Step 2: Instructions

  • Good Prompting Practices: Always use markdown to separate sections clearly.

  • Be Specific: You only have 8000 characters to work with, so make sure your instructions are clear.

  • Fallback Replies: Add these to keep conversations smooth.

  • Continuous Improvement: Keep improving instructions based on user feedback.

Step 3: Knowledge Base

  • Upload Files: Make your GPT smarter by uploading .txt, .csv, or .pdf files.

  • Tag Files: For easy content updates, use tagging.

  • Audit Files: Keep your GPT’s information up to date.

  • External Databases: Connect external sources for additional data.

Step 4: Personas

  • Create Personas: Define personas for your GPT based on different user needs.

  • Adapt Dialogue: Tailor the conversation flow for each user type.

  • Test Personas: Ensure they meet your goals and adjust based on feedback.

Step 5: Capabilities

  • Choose the Right Capabilities: Select from basic (e.g., web search, image generation) to advanced tasks (e.g., code interpretation, data analysis).

  • Be Selective: Prioritize capabilities based on your needs.

  • Improve Performance: Test capabilities with case studies to ensure they are working for you.

Step 6: Actions

  • API Integration: Use APIs to interact with other tools and set up secure authentication.

  • Clear Schemas: Use clear schemas for inputs and outputs to make your GPT more efficient.

  • Test Actions: Experiment with APIs before fully integrating them to ensure proper functionality.

Step 7: Testing

  • Test Your GPT: Use the preview window to test how your GPT responds.

  • Adjust Configuration: Fine-tune settings as needed based on test feedback.

  • Get Team Feedback: Involve your team to gather insights and refine the setup.

Free Ebook for Subscribers

In this book you’ll learn:

  • How to build custom GPTs and integrate OpenAI’s APIs into real-world applications

  • How to master prompt engineering and use ChatGPT’s multimodal tools like DALL·E

  • How to streamline workflows, boost productivity, and gain a competitive edge with generative AI

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