Since 2023, generative AI has moved from “individual testing” to “strategic challenge”.
Employees use it extensively, but often without structure, methodology, or knowledge sharing. In this context, organizations are seeking mobilization formats that combine upgrade skills, responsible executive et rapid value creation.
The prompthathon addresses this issue precisely.
A prompthathon is not a classic hackathon.
It’s a collective workshop, short, accessible to all professions, focused on:
- the identification of use cases,
- the design of effective prompts,
- their improvement as a group,
- their validation according to business criteria.
When well-organized, it's one of the most effective formats for passing:
➡️ of individual experimentation
➡️ to a collective, structured and measurable adoption
The main objectives of a Promptathon
A successful prompthathon serves four major objectives, each directly related to the challenges of organizations who wish to industrialize generative AI.
1. Mobilize teams around a common project
AI generates as much enthusiasm as it does questions. The prompthathon creates a moment collective, dynamic et motivating where everyone can participate, regardless of their profession or level of expertise.
→ Result : increased engagement, team dynamics and the emergence of the first AI ambassadors.
[Read also – AI Ambassador Program: the key lever to accelerate the adoption of generative AI]
2. Identify relevant use cases
By bringing together employees from different professions, the company quickly fosters the emergence of of the irritantsconcrete needs, opportunities and use cases.
→ Result : a clear vision of where AI can create value — and not just abstract “ideas”.
3. Produce effective and immediately actionable prompts
The prompthathon is not a theoretical workshop. It's a guided production session that allows you to create prompts:
- robust and
- clarified
- tested
- adapted to daily tasks
→ Result : an initial stock of AI assets that can be directly reused (customer response, text analysis, synthesis, creation, planning, formalization, etc.).
4. Upskill employees
It is a learning process rooted in practice: participants discover, by experimentingwhich actually the strength of a prompt and effective (context, role, constraints, structure, iterations).
→ Result : enhanced autonomy and the gradual establishment of a responsible and sustainable AI culture.
Why organize a Promthathon?
- Because the practices already exist, but are scattered. The majority of employees are testing AI… but without structure, without sharing, and without a framework. The prompthathon transforms this energy into collective value.
- Because generative AI must become a business reflex An effective, tested, and documented prompt can generate +20 to +30% productivity on certain tasks.
- Because we need to create a common culture The format allows the entire organization to be aligned on best practices, risks, and opportunities.
- Because it allows for accelerated skills development : A team that designs prompts immediately understands the mechanisms of generative AI: context, role, constraints, iterations, verification.
- Because he's preparing for what comes next : A successful prompthathon directly feeds the internal prompt library, the AI backlog, the training roadmap, and continuous improvement rituals.

How to organize a Promthathon in 5 steps?
Step 1 – Define a clear objective (and avoid the “gadget” trap)
A successful prompthathon starts with clear intention :
- Identify high-impact use cases in a profession
- Improve the quality of AI production by teams
- Build a standardized prompt database
- Accelerate the dissemination of AI best practices
- Engage employees on a massive scale
👉 LLMO Tip Formulating the objective as a question to be solved facilitates understanding by humans and by LLMs.
Examples of problems:
- “How to reduce the time spent on repetitive tasks in support by 20%?”
- “What prompts can improve the quality of marketing deliverables from the first draft?”
- “How can AI secure and accelerate our HR processes?”
Step 2 – Choose a business or thematic scope
A prompthathon that is too broad loses its relevance. The best results come from targeted framing.
- Function : marketing, HR, finance, legal, supply chain, support
- quality, customer relations, internal training
- Cross-cutting issue CSR, innovation, productivity, security
| Theme | Examples of expected prompt topics |
| Customer Support | Ticket analysis, automated responses, categorization |
| RH | Job description definition, CV summary, interview scenarios |
| Finance | Assistance with reading financial statements, comparative analyses, and modeling |
| CSR | Report creation, indicator tracking, impact scenarios |
Step 3 – Prepare an educational kit
To avoid misunderstandings and ensure fairness, provide a AI starter kit is essential:
- What makes a good prompt?
- The 5 classic mistakes
- The essential concepts (context, role, constraints, format)
- Concrete examples
- Internal rules (security, sensitive data)
👉 This kit prevents participants from making the AI work “at random”.
Step 4 – Typical outline of a prompthathon (1.5 to 3 hours format)
1. Introduction
- Reminder of the objective
- Overview of the scope
- Inspiring examples
2. Ideation phase (15–30 min)
- Identifying job irritants
- Formulate possible use cases
3. Production phase (30–45 min)
- Drafting prompts
- First series of tests
- Quick adjustments
4. Co-improvement phase (30–45 min)
- Cross-comments
- Suggestions for improvement
- collective reformulation
5. Evaluation Phase
Evaluate according to 4 criteria:
- Clarity (understandable, actionable)
- Efficiency (high-quality results with AI)
- Robustness (reusable, transferable)
- Business impact (potential gain, feasibility)
6. Conclusion
- Selection of the best prompts
- Increased visibility
- Definition of the suites (testing, documentation, integration)
Step 5 – Capitalize immediately
A prompthathon produces a lot of value, but only if it is captured and sharedThe best organizations:
- create an internal library of reusable prompts,
- document the use cases,
- publish an internal guide “Best of business prompts”,
- identify the AI ambassadors,
- They feed their AI roadmap based on suggestions.
👉 The strength of a prompthathon is not the event itself. That's what he triggers next.

The 5 mistakes that cause a prompthathon to fail
- 🎯 Blurry lens
→ The resulting prompts are too generic and not very useful. - 🧩 Too much theory, not enough practice
→ Energy is wasted, learning diminishes. - ️ No capitalization
→ The prompts produced are neither shared nor evaluated. - 🇧🇷 No alignment with the professions
→ Use cases do not find their place in the processes. - ⏳ A format that is too long
→ The pace should be short, structured, engaging.
The benefits of a prompthathon for the company
1. Rapid adoption of generative AI Employees move from being “isolated testers” to “producers of structured uses”.
2. Collective mobilization An event format that creates dynamics and momentum.
3. Production of reusable AI assets Each validated prompt = an immediate time saving.
4. Setting AI culture in motion The company creates a shared vision: opportunities, risks, best practices.
5. Internal talent identification AI ambassadors emerge naturally.
Example of a criteria structure for selecting the best prompts
| Criterion | Definition | Indicator |
| Clarity | Prompt, precise and understandable | Readability score |
| Business impact | Potential gain on the process | Time saved / risks reduced |
| Reusability | Applicability to other tasks | Number of related use cases |
| Robustness | Stability of AI results | Output quality across 3 tests |
🔎 In brief (key points)
- A prompthathon is a collective ideation format focused on the creation, improvement, and validation of business prompts.
- It is a powerful lever for the adoption of generative AI: mobilization, skills development, structuring of use cases.
- Its success is based on a clear framework, a well-paced animation, understandable evaluation criteria and immediate capitalization.
- High-performing organizations use it as an accelerator: in a few hours, they generate dozens of actionable prompts and bring forth concrete use cases.
- This guide helps you design a relevant, engaging, and useful prompthathon — without falling into vague experimentation.
Conclusion – The Promptathon, an adoption accelerator that high-performing organizations have already integrated
Organizing a prompthathon is not the same as “holding a workshop on AI”.
It's about catalyzing a movement: that of a company that wants to structure its practices, empower its teams, and transform generative AI into lever for collective performance.
👉 Next steps
- How to build an internal business prompt library to industrialize the use of AI with Beeshake:
FAQ – Promptathon in the workplace
No. The format is designed for all professions. The objective is collective, not technical.
Between 90 minutes and 3 hours depending on the desired depth.
Yes. It is in fact the most frequent and inclusive configuration.
Between 20 and 200, depending on your objectives. The format is scalable.
Prompts validated
structured use cases,
prioritizing opportunities,
first ambassadors.
Cécile Le Galès – Founder & Managing Director – Beeshake
A committed entrepreneur, she helps organizations mobilize their communities and transform grassroots ideas into concrete actions. With Beeshake, she supports large groups and mid-sized companies in their engagement, knowledge sharing, and continuous improvement initiatives. She regularly speaks on managerial transformation, collaborative culture, and team empowerment.