đ Key takeaways
- The quality of the prompt determines the quality of the response: a clear and structured prompt yields relevant and immediately actionable results.
- Assigning a role to the AI improves the relevance of the responses: positioning it as an expert (HR, manager, marketer, etc.) guides the tone, level of detail and approach.
- Specifying the context, objective and target audience is essential: the better the AI understands the situation, the better it is able to produce suitable content.
- Indicate the format and expected constraints: length, style, tone or structure (list, email, article, etc.) make it easier to obtain a deliverable that is immediately usable.
- Iteration helps refine the results: engaging in dialogue with the AI and gradually adjusting the prompt is key to achieving optimal quality.
- Prompting is becoming a key professional skill: mastering interaction with AI is now a real driver of productivity and performance.
Artificial intelligence has become an integral part of everyday working life.
But one fact remains: not everyone uses it effectively.
The difference doesnât lie in the tool itself.
It lies in how you interact with it.
The real challenge: knowing how to phrase things, not just asking
Using AI isnât just about asking a quick question.
Itâs about knowing how to structure your thoughts to get a relevant answer.
Today, a new skill is emerging: prompting.
Figures that illustrate the impact
The use of AI is skyrocketing⊠but its effectiveness depends heavily on the quality of interactions:
- 75% of knowledge workers already use AI at work (Microsoft & LinkedIn â Work Trend Index, 2024)
- Users trained in prompting gain up to 40% in productivity (BCG, 2023)
- 68% of employees say they do not know how to make full use of AI (Salesforce, 2024)
đ Conclusion: it is not AI that makes the difference, it is how we use it.
Talking to AI is like briefing an expert
AI performs better when it is properly guided.
The clearer your prompt, the more useful the response will be.
To get relevant results, three factors make all the difference:
- The context: why youâre asking the question
- The objective: what youâre actually expecting
- The level of detail: the format, tone and target audience
đ A vague prompt = a mediocre response
đ A precise prompt = a real time-saver
Best practices that make all the difference
A few simple habits can already make a big difference:
- Give the AI a role (âyouâre an expert inâŠâ)
- Structure your request (objective, target, constraints)
- Ask for improvements or a rephrasing
- Iterate: refine rather than start again
Itâs not a question of technique.
Itâs a question of clarity.
The trend for 2026: working WITH AI
We no longer talk about tools, but about human-machine collaboration.
Uses are evolving rapidly:
- co-authoring content
- preparing for meetings
- analysing and summarising information
- practising for professional scenarios
đ AI is becoming a work partner.
The DMM approach
At DMM, we donât teach AI as a tool.
We teach how to use it effectively in your day-to-day work:
- real-world business scenarios
- immediate practical application
- grounded in real-world use cases
Because performance doesnât come from the technology,
but from what we do with it.
