A prompt collection is not a skill.
Providing context, spotting a wrong answer and repeating the work without the trainer: that is what we practise.

AI training for small businesses · Montreuil, Vincennes and nearby areas
A day of slides. A list of prompts. On Monday, the same tasks, the same copying and pasting, the same hours lost. At ClairAI, we work on your cases with the people handling them.
Programme prepared with you · Fixed price before training · Exercises adapted to skill levels
Things worth saying
Providing context, spotting a wrong answer and repeating the work without the trainer: that is what we practise.
Generation speed is not enough. We compare total time, output quality and the corrections required.
We share useful methods across teams, with common rules for data and validation.
Approved documents, your constraints and real tasks: cases are prepared with you before the session.
An exercise. Not a magic trick.
Fictional training example: turning meeting notes into minutes. The people and case below were invented for the exercise.
Project Atlas — Tuesday update.
Léa will prepare the quote by Friday.
The client still needs to confirm the budget.
Delivery: date to be agreed after approval.
The instruction: prepare minutes with decisions, owners and deadlines, without inventing missing information.
Léa will prepare the quote by Friday.
The budget is approved by the client.
Delivery is scheduled for Friday.
Two unsupported statements have been added. Spotting them is part of the work.
Budget: awaiting confirmation.
Delivery: date not yet set.
Friday is the deadline for the quote, not the delivery.
“The team must be able to say: this answer is wrong.”
Compare with the source, distinguish decisions from open questions, correct and approve. Fluent presentation does not prove a result is accurate.
Time actually saved
Fictional example: preparing meeting minutes. These figures illustrate the comparison method; they are not a client result.
| Stage | Usual method | With AI |
|---|---|---|
| Prepare notes | 5 min | 8 min |
| Write | 20 min | 2 min |
| Check and correct | 10 min | 8 min |
| Total | 35 min | 18 min |
In this example, the saving is 17 minutes. It only counts if decisions, owners and deadlines are accurate after review. With 30 minutes of corrections, the total would rise to 40 minutes: the use case would need rethinking.
Repeating the comparison on several cases, including an incomplete one, helps decide whether the method is worth sharing.
Your practical cases
Structure a brief, prepare for a meeting, find useful references and write a first proposal for review.
We check commitments, figures and client information before use.
Prepare a service report, identify a case’s requirements or find a procedure with its sources.
We define usable documents and decisions that still need team approval.
These are illustrative ideas. Exercises are chosen with you before training. How should you choose your first use cases?
Would you prefer a tool delivered and maintained for you? See custom applications →
The ClairAI offer
We start there. A workshop on a shared task or several sessions by role: we build the programme with the team, according to skill levels and target use cases.
Programme, duration, fixed price and required tools specified before training. Materials, examples and checkpoints given to the team.
I want practical training for my teamHow we work
Your tools, AI experiments, repetitive tasks and the people involved. A first 20-minute conversation.
Usable documents, expected results, participants’ levels and data rules. You approve the programme and price.
Shared foundations, then work-specific exercises. We identify errors and learn when a result is ready to use.
Examples, a method and checkpoints. We define how to track total time and corrections after the session.
“A useful method must survive the trainer leaving.”
For colleagues already creating their own tools, we can go further: a small work assistant, automation, tests and documentation. The level adapts to the people.
Let’s get acquainted
A team of specialists, coordinated by our founder, Nicolas Mathieu: your contact from scoping to delivery. See our founder’s background →
The questions that matter
No. The shared foundations are for everyone, whatever their level. People already creating their own tools can go further with dedicated exercises.
Before the session, we choose suitable documents together. Knowing which data to give AI is part of the method, with clear rules for confidential information.
The format depends on participant numbers, skill levels, cases to prepare and follow-up needs: one workshop on a shared task or several sessions for different roles. The proposal specifies the programme, duration, fixed price and required tools or subscriptions before work starts.
Materials, examples worked through together and a method for checking results. For each chosen use, we specify usable data, working steps and checkpoints. Measures cover time spent, corrections needed and output quality.
We compare before and after on the selected tasks: time spent, corrections needed and output quality. Together, we define how to track these in everyday work.
Ready for action?
Tell us which task takes too long, how many people are involved and what they already use. We will prepare a programme around that reality.
I want practical training for my teamNicolas’s calendar opens. Pick a slot and our founder will talk with you personally.
nicolas@clairai.fr