By enabling multiple GPTs to communicate with each other, you can unlock their power exponentially withouth back and forth, all in the same tab and conversation.
This guide will walk you through the process of enabling multiple GPTs to interact, provide practical examples, and suggest applications.
Table of Contents
Why Enable GPT-to-GPT Interaction?
Multiple GPTs communicating together can:
- Solve complex problems by leveraging specialized GPTs for different tasks.
- Boost productivity by delegating subtasks to domain-specific GPTs.
- Encourage creativity by creating dynamic brainstorming sessions between GPTs with unique focuses.
For example, imagine a marketing-focused GPT collaborating with a technical SEO GPT to develop a comprehensive content strategy.
Step-by-Step Guide to Enable GPT Collaboration
Step 1: Choose Your GPTs
Visit GiPiTi’s curated list of GPTs or locate your favourite ones to identify suitable Custom GPTs. Look for GPTs specialized in your required domains. Some examples:
- Marketing strategy GPTs
- Creative writing GPTs
- Technical or coding GPTs
- Industry-specific experts (e.g., healthcare, finance, SEO)
Ensure you have a clear goal for their collaboration, like solving a complex problem or generating a specific output.
Step 2: Create or Access the Custom GPTs
If you don’t already have access to the required GPTs, you can:
- Explore and select GPTs as mentioned.
- Create your own Custom GPTs tailored to your project if you don’t find suitable ones.
- Start a test conversation with each of the GPTs you will later want to interact with each other (otherwise, they won’t be detected when chaining them)
At user level, last 2 points would look like this:
And…
Step 3: Enable GPT Interactions
To enable GPTs to talk to each other:
- Open the OpenAI platform or your integrated development environment.
- Initiate a conversation where one GPT outputs a question or response designed for the other GPT to process.
- Use an API or interface that supports chaining outputs between GPTs. Platforms like Zapier or custom scripts can be used to automate these exchanges.
Step 4: Define Interaction Rules
For smoother collaboration:
- Set clear input/output parameters for each GPT.
- Use a “moderator GPT” to coordinate tasks, ensuring GPTs stay on topic.
Practical Applications
Example 1: Creative Brainstorming
- GPT A (Creative Writing): Generates story concepts.
- GPT B (Marketing): Refines concepts into marketable ideas.
- Workflow: GPT A proposes ideas ➡️ GPT B evaluates their marketability ➡️ Output is a finalized pitch.
Example 2: SEO Content Strategy
- GPT A (Technical SEO): Identifies website issues.
- GPT B (Content Writer): Suggests content improvements based on GPT A’s feedback.
- Workflow: GPT A analyzes a site’s structure ➡️ GPT B crafts content solutions.
Example 3: Customer Support Automation
- GPT A (Product Expert): Handles technical queries.
- GPT B (Sales): Engages in upselling or promotional efforts.
- Workflow: GPT A answers a user’s question ➡️ GPT B follows up with tailored recommendations.
Pro Tips for Success
- Use Prompts Effectively: While describing tasks for each GPT, keep it simple to improve clarity and avoid confusion. Each GPT is already expert in a field and won’t need much background to operate. It can also read the previous conversatin with the other GPT and understand context.
- Monitor Conversations: Regularly evaluate GPT interactions to ensure quality and relevance.
- Practice while watching the following video tutorial:
