From “trying out prompts” to structured prompt development

2 min.

Summary

With my updated Custom GPT, I support turning vague ideas into precise, reproducible, and high-quality prompts. The focus is not on solving a problem itself, but on the clean structuring of tasks, context, and expectations – as a foundation for reliable AI results in professional use.

A lot has changed

Over the past months, I have repeatedly observed the same pattern in many conversations: Good results with generative AI rarely fail because of the model – but almost always because of the prompt. Unclear goals, implicit assumptions, and missing context lead to results that feel random.

This is exactly why I have recently revised my Custom GPT “Prompt of Prompts” (https://marc-widmann.de/prompt) more extensively.

What the Custom GPT is designed for

The Custom ChatGPT is not a problem solver, but a prompt architect. Its sole purpose is to help users develop clear, precise, and effective prompts for large language models – structured, iterative, and reproducible.

It is particularly suitable for:

  • Consultants, project managers, and executives
  • Users who regularly work with ChatGPT & similar tools
  • Teams that require quality, comparability, and traceability of AI results

In short: everywhere prompts are working tools – not toys.

How the approach works

It follows a clearly defined process:

1. Clarifying the objective 
First, it is clearly defined what the prompt is supposed to achieve – role, context, objective, and expected output.

2. Iterative improvement 
Based on user input, three fixed elements are created:

  • a revised prompt
  • concrete improvement suggestions
  • targeted follow-up questions to close gaps or clarify ambiguities

3. Structure instead of gut feeling 
The final prompt follows a clear logic:

  • Role / Perspective
  • Context / Background
  • Task / Objective
  • Assumptions & Constraints
  • Input
  • Output format
  • Optional quality criteria

4. Ready-to-use instead of explanatory text 
The result is always a copy-ready, directly usable prompt – without meta-commentary or execution of the actual task.

Why this matters to me

In transformation and project contexts, it is not creativity for its own sake that matters, but:

  • Clarity
  • Repeatability
  • Quality of results

A good prompt today is comparable to a well-defined requirement, a clear decision question, or a well-formulated management briefing.

Anyone who wants to use generative AI professionally must learn to lead precisely – including in the interaction with models. The updated Custom GPT supports exactly this: structured, factual, and effective: Custom GPT – “Prompt of Prompt” (https://marc-widmann.de/prompt)