Mistral Prompt for Creating a Presentation
Mistral, the leading French AI model, excels at creating structured, impactful presentations. Whether you're preparing a pitch deck for investors, a sales presentation, or a training module, Mistral can generate the entire slide-by-slide content with remarkable coherence. Its nuanced understanding of French and ability to structure information hierarchically make it a particularly suitable tool for this use case. By providing a well-crafted prompt, you'll get a detailed plan including titles, key points, speaker notes, and even visual suggestions for each slide. Mistral's advantage lies in its ability to adapt the tone and level of detail to your target audience while maintaining a narrative thread that captivates attention from start to finish. Instead of starting from a blank page, you have a solid foundation that you can then refine and customize to your specific needs.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an expert in communication and professional presentation design. Create a complete presentation on the following topic: [TOPIC]. The target audience is [AUDIENCE] and the objective is to [OBJECTIVE]. The presentation must contain between [NUMBER] slides. For each slide, provide: 1) The slide title, 2) 3 to 5 key points as concise bullet points, 3) A visual suggestion (recommended chart type, image, or icon), 4) Speaker notes with a detailed oral script (2-3 sentences). Structure the presentation with: an impactful hook slide, a context/problem slide, logical development sections, a summary slide, and a final call to action. The tone should be [TONE: professional/dynamic/academic]. Ensure each transition between slides is smooth and the narrative thread maintains audience engagement.
Personalize this prompt with Léa
Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
This prompt works because it defines a precise expert role, provides a structured slide-by-slide framework, and specifies the expected deliverables for each slide. The variables in brackets allow for complete customization while maintaining a rigorous structure. The explicit request for speaker notes and visual suggestions forces the model to produce a directly usable deliverable.
Use Cases
Variants
Expected Output
You will get a complete presentation with each slide detailed: title, key points, visual suggestion, and oral script. The content will be structured along a coherent narrative arc with an engaging introduction, logical development, and a conclusion with a call to action. All that's left is to transfer the content into your preferred presentation tool (PowerPoint, Google Slides, Keynote).
Frequently Asked Questions
Can Mistral directly generate a PowerPoint or Google Slides file?
Mistral generates structured text content, not presentation files directly. However, the content produced is formatted for easy transfer: simply copy and paste each slide into your preferred tool. To automate this step, you can ask Mistral to format the output in Markdown or JSON, then use tools like Marp, Slidev, or the Google Slides API to automatically convert the text into slides.
How do I adapt the prompt for a presentation in a highly specific technical field?
Add a context paragraph before the main prompt describing your field, the expected jargon, and your audience's knowledge level. For example: 'Context: presentation for DevOps engineers familiar with Kubernetes and CI/CD. Use appropriate technical vocabulary without oversimplification.' You can also provide a pre-existing outline or key data that Mistral should incorporate into the presentation.
What is the optimal number of slides to request from Mistral?
For optimal quality, request between 8 and 15 slides. Below 8, the presentation lacks depth. Above 15, Mistral may lose narrative coherence on the later slides. For long presentations (20+ slides), an effective approach is to first ask for the overall outline, then generate detailed content section by section using several successive prompts, restating the context at each step.
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