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How to Create a 'Synthetic Client' with a Custom GPT for Faster Project Iteration

Build a custom GPT trained on a client's public persona (articles, talks, podcasts) to simulate their feedback. This allows your team to iterate on ideas and get work 80-90% complete before presenting to the actual client, saving valuable time.

From How I AI

How I AI: Building a Personal AI Wellness Coach to 'Feel 25 in a 40-Year-Old Body'

with Claire Vo

How to Create a 'Synthetic Client' with a Custom GPT for Faster Project Iteration

Tools Used

ChatGPT

OpenAI conversational AI

Step-by-Step Guide

1

Gather Public Data on a Key Client

Identify a key client or stakeholder. Collect publicly available information that reveals their thought process and communication style. This can include articles they've written, podcasts they've appeared on, public presentations, or keynote speeches. Do not use any private or confidential information.

2

Create and Train a Custom GPT

Start a new custom GPT. In the 'Instructions', define the AI's persona to be your client. Upload all the public data you've collected into the 'Knowledge' section to train the model on their specific perspective.

3

Query the 'Synthetic Client' for Internal Feedback

Before a client meeting, present your ideas, designs, or proposals to the GPT. Ask for feedback as if you were talking to the real person.

Prompt:
Review this project proposal from the perspective of [Client's Name]. What questions would they have? What aspects would they challenge or approve of based on their known priorities?
4

Iterate Internally Based on AI Feedback

Use the AI-generated feedback to refine your work. The goal is to address potential objections and align the work with the client's likely perspective, aiming to get it '80 or 90% of the way there' before the actual meeting.

5

Present the Refined Work to the Real Client

With your work pre-vetted by the synthetic client, your official meetings become more efficient and productive. You can focus on final approvals and high-level strategy rather than initial revisions.

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