---
title: "AI Masterclass: How to develop your own CustomGPT prompt"
description: How do you create your own CustomGPT prompt? This practical guide shows step by step how companies develop and productively use structured AI prompts with ChatGPT, Claude and Google Gemini.
---

[Digital Change ](https://blog.bloola.com/digital-change)

# [AI Masterclass: How to develop your own CustomGPT prompt](https://blog.bloola.com/digital-change/how-to-develop-your-own-customgpt-prompt)

 Written by [Lars-Thorsten Sudmann](https://blog.bloola.com/digital-change/author/lars-thorsten-sudmann) | Mar 11, 2026 5:45:00 PM

## The real problem

You use ChatGPT, Claude or Gemini regularly - but the results are different every time.

Sometimes the AI writes too superficially.  
Sometimes too technical.  
Sometimes it misses your target completely.

The cause is almost always the same:

**You're working without a clear system prompt.**

Many companies are experimenting with AI, but they have **no structured prompts**, no defined roles and no reproducible results.

The result:

- Teams lose time
- Results are inconsistent
- Knowledge remains in the heads of individuals
- AI is not scalable

The solution is obvious:

**CustomGPT prompts.**

## Why the problem persists

In practice, we observe three typical mistakes.

### 1. ad hoc prompting

Most users write spontaneous prompts like:

> "Write me a blog article about AI."

This leads to generic results.

The reason:  
AI knows **no role, no goal, no format, no target group**.

### 2. tool focus instead of system thinking

Many teams think:

> "We need the right AI tool."

But the real problem is usually

**The prompt.**

A good prompt can turn a normal model into an extremely powerful assistant.

### 3. no standardization

In companies, it often looks like this:

- Marketing uses ChatGPT
- HR uses Claude
- Product uses Gemini

But everyone works completely differently.

There is:

- no prompt structure
- no templates
- no role models

This means that AI remains an experiment instead of a system.

## The concrete solution: The CustomGPT Prompt Framework

A stable CustomGPT prompt always consists of five building blocks.

### The 5-block prompt framework

**1️⃣ Role**

Who is the AI?

Example:

> You are an experienced AI consultant with a strong practical focus.

**2️⃣ Target group**

Who are you working for?

Example:

> You write for entrepreneurs and decision-makers who want to use AI in practice.

**3️⃣ Goal**

What do you want to achieve?

Example:

> The aim is to provide practical, actionable content.

**4️⃣ Structure**

How should the answer be structured?

Example:

- Problem
- Solution
- Example: Solution
- Implementation steps

**5️⃣ Style**

How should it be written?

Example:

- clear
- practical
- comprehensible
- no theory

The result:

**The AI works like a specialized employee.**

## How to create a CustomGPT prompt - step by step

The three major models differ slightly here.

### 1️⃣ Create CustomGPT with ChatGPT

ChatGPT currently offers the **simplest solution** for custom prompts.

You can create your own GPTs directly in the interface.

The process:

#### Step 1

Open:

**Explore GPTs → Create**

#### Step 2

Define the system role.

Example:

> You are an AI consultant for medium-sized companies and explain in a practical way how AI is implemented.

#### Step 3

Define the rules.

For example:

- always write in a structured way
- use examples
- avoid technical jargon
- provide concrete implementation steps

#### Step 4

Optional: Add knowledge

You can upload:

- PDFs
- guides
- internal documents
- best practices

This turns your GPT **into a company assistant**.

#### Result

You get:

**your own GPT with your own personality.**

Perfect for:

- Marketing
- support
- knowledge management
- internal training

### 2️⃣ Custom prompts with Anthropic Claude

Claude works a little differently.

Here you work more with **long system prompts**.

The structure looks like this:

#### Example Claude Custom Prompt

```
You are an experienced business consultant for AI strategy.Your job is to help companies tointroduce AI in a structured way.You always work according to the following pattern:1. analyze the problem2. explain the causes3. develop a concrete solution4. provide a practical example5. define implementation stepsStyle rules:- clear- practice-oriented- comprehensible- No academic language
```

#### Advantage of Claude

Claude is particularly strong in:

- long contexts
- complex analyses
- strategy development
- document work

Many companies use Claude for:

- strategy
- Concept development
- research

### 3️⃣ Custom prompts with Google Gemini

Gemini is often customized via **Gemini Gems** or **AI Studio**

The process:

#### Step 1

Create a **Gem (Custom Assistant)**.

#### Step 2

Define:

- Role
- Goal
- Task area

Example:

> You are an AI implementation consultant for SMEs.

#### Step 3

Define areas of responsibility:

- Recognize automation potential
- Analyze processes
- Identify AI agents

#### Special feature of Gemini

Gemini is particularly strong in:

- Google Workspace Integration
- data analysis
- research
- Multimodality

This makes it particularly interesting for companies that already work heavily with **Google tools** .

## Practical example

A medium-sized consulting company wanted to use AI in marketing.

### Previously

Marketing wrote prompts like:

```
"Write a LinkedIn post about AI."
```

Result:

- generic
- interchangeable
- no brand style

### Solution

The company developed a **Marketing CustomGPT prompt**.

The prompt defined:

- Role: B2B marketing strategist
- Target group: Managing director
- Style: clear, practical
- Structure: Hook → Problem → Insight → Solution

### After

Results:

- Consistent content
- higher reach
- 80% faster production

The real difference was not the model.

**The difference was the prompt.**

## Immediately actionable steps

If you want to build your own CustomGPT prompts, start with these five steps.

### 1️⃣ Define a clear role

Examples:

- AI consultant
- Marketing strategist
- Sales coach
- product manager

### 2️⃣ Define target group

Examples:

- Medium-sized companies
- Marketing teams
- HR departments
- SaaS companies

### 3️⃣ Define a fixed structure

For example:

- Problem
- Analysis
- Solution
- Implementation

### 4️⃣ Define style rules

Examples:

- practical
- understandable
- no empty phrases
- concrete examples

### 5️⃣ Save your prompts

Create a **prompt library**

Typical categories:

- Content
- analysis
- strategy
- automation
- Agent building

This will create an  AI work infrastructure in the long term.

## Strategic classification

Companies that use AI successfully do **one thing differently**:

They**don't just** use AI **as a tool**.

They build **systems.**

This includes

- Prompt libraries
- CustomGPTs
- AI agents
- Automations

Companies without these structures will only ever**use** AI **superficially**.

Companies with these structures create

- faster processes
- better decisions
- scalable knowledge work

The decisive lever is often surprisingly simple:

**The prompt.**

## Conclusion

The biggest difference between average and excellent AI usage is rarely the model.

Whether you**work** with **ChatGPT, Claude or Gemini** plays a smaller role than many people think.

The real lever is:

**A cleanly developed custom prompt.**

It transforms a general model into:

- a marketing expert
- a strategy consultant
- a process analyst
- a content creator

And that's where the real AI transformation begins.

## 🚀 Next step

If you not only want to understand AI, but also use it in a structured way in your company, then:

👉 Find out more about our AI training:  
[https://bloo.school](https://bloo.school/en/)

👉 Find out about our Smart Market Fit offers:  
[https://bloola.com/smf](https://bloola.com/smf-system) - The Smart Market Fit course  
[https://bloola.com/smf-system](https://bloola.com/smf-system) - The Smart Market Fit system for companies

👉 Or find out more about our consulting and automation solutions:  
[https://bloola.com](https://bloola.com/en/)

 

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