If you are already using ChatGPT, Midjourney or Claude, you probably noticed: everything is based on what you're asking. A good time can save you hours. A quick blur is often a result next to the plate... and a lot of time lost. This is why it is important to have good control over prompt engineering. A little technical name but a very concrete reality: learn how to make your requests to an AI to get the best out of it. Zoom on the importance of prompt engineering in 2025.
1.Prompt engineering: why is it THE 2025 skill?
1.1 AI is everywhere
In writing, graphic design, marketing, code, project management, customer service... AI is integrated into all tools.
For example, suppose you want to write an engaging LinkedIn post. ChatGPT can help. But if you simply ask it to “write me a post”, the result will be bland. Be more specific: “Write a LinkedIn post in the first person, in a professional, human tone, sharing a customer experience.” The result will be much better.
1.2. Quick Makes the Difference
Two people with the same tool will not get not the same result. It all depends on the quality of the prompt.
👉 Let's illustrate that. Imagine two graphic designers using Midjourney. The first writes "drawing a cat", the second writes "Stylized illustration in flat design of a black cat sitting on a leather sofa in a bright room". Which one will have a better visual, in your opinion?
1.3. It's a cross-cutting competence.
Prompt engineering is not just for developers. It is useful for:
- HR (post card writing)
- commercial (creation of e-mail sequences)
- entrepreneurs (brainstorming of brand names)
- students (revision planning)
👉 Tip: If you want to organize your week, you can tell ChatGPT:
"You're a productivity coach. Help me organize a balanced work week for a freelancer, with blocks of time for creation, call, and sport."
2.The different techniques of prompt engineering
2.1. Zero-Shot Prompting
Principle: AI receives direct instructions, without context or example.
When to use it? You can use it to get a quick, general answer or explore a topic without any previous detail.
Example of prompt:
Give me three good reasons to create a LinkedIn account.
2.2. Few-Shot Prompting
Principle: Some examples are provided to guide the model towards the expected response.
When to use it? When you want a particular tone, style or structure.
Example of prompt:
Here are three appendages for newsletters:
- "Start your day with our Monday productivity trick."
- "Discover our special selection of the week."
- "Do you miss that? 😱 "
Writes a new hook in the same style.
2.3. Chain-of-Thought Prompting
Principle:You're asking AI to reason step by step.
When to use it? This method is particularly suitable for complex subjects, where each step counts.
Example of prompt:
Considers the benefits of a change in computer service provider:
- Compares long-term costs.
- Analyses the impact on data security.
- Evaluate the time required for the transition.
- Proposes an argumented conclusion.
2.4. Multi-Prompting
Principle:You pose several variants of the same question to obtain rich and varied answers.
When to use it? It is useful for creativity, comparison or exploration of several angles.
Example of prompt:
Reformulates this commercial proposal in three different ways to:
- A Financial Decisionmaker
- A Marketing Director
- A health sector SME
Then choose the most striking version for each.
2.5. Role-Playing Expert
Principle: You ask the AI to adopt an expert role to respond with a high level of precision.
When to use it? This method is recommended for obtain a technical, strategic or specialized response.
Example of prompt:
"You're a cybersecurity consultant. Writes a tip sheet for a TPE on good password protection practices.”
2.6.Least-to-Most Prompting
Principle: We start with a simple question, then we go up in complexity.
When to use it? Use it for guide AI in progressive analysis a complex subject.
Example of prompts:
Step 1: What is a CRM? Step 2: What are the benefits of a CRM for a B2B company? Step 3: Proposes a comparison between three CRM solutions according to their use, prices and integrations.
2.7.Generated Knowledge
Principle:AI is asked to generate useful information prior to the final response.
When to use it? This technique is perfect to enhance reflection or enrich the response with context.
Example of prompt:
"First, give me the latest trends in online vocational training. Then, proposes a catalogue development strategy for a training organisation."
3.The interesting tools and trainings to master the prompt engineering
✅ PromptHero
PromptHero is a library of prompts tested for Midjourney, ChatGPT, DALL·E, etc.
✅ FlowGPT
You can find on FlowGPT ready-to-use, or inspire you to create them.
✅ eloRezo training in speeding
Master the art of prompting in company with eloRezo. Learn all you need to know to submit a quality prompt to your AI tool and get answers that truly meet your expectations. Find all Our AI training here.
Conclusion
In short, the prompt engineering is the key to harnessing the full potential of AI.
By mastering this art, you save time, you become more creative, more productive, and above all... you take a real step ahead.