J’ai créé le Prompt parfait pour TOUTES les IA (ChatGPT, Gemini, Claude…)

Item: J’ai créé le Prompt parfait pour TOUTES les IA (ChatGPT, Gemini, Claude…)
Rating: 4
Author: PostSingularity Institute

by Ludo Salenne

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence

🎙 Ludo Salenne 👥 266K 📅 March 10, 2026 ⏱ 24 min 👁 40K 📄 tutorial 🧭 2026-08-02

Available in: English (current) Français

Keywords

prompt engineeringmeta-promptreverse promptingAI toolsproductivity

Summary

In this video, Ludo Salenne presents Promptor v2, a meta-prompt designed to generate optimized prompts for any AI tool (ChatGPT, Gemini, Claude, etc.). He explains the limitations of using the same prompt across different AI systems and introduces a structured approach: first, the AI is assigned a role as an expert in prompt engineering; then, it asks for the user’s objective and target tool; it researches best practices for that specific tool; and finally, it produces a calibrated prompt with self-critique and iterative questioning until a 5-star prompt is achieved. The video includes a live demonstration where Promptor generates a prompt for building a Pomodoro web app on Google Gemini. Salenne highlights the benefits: improved prompt quality and user learning. He also mentions an automation feature and provides resources in the description. The video is practical and aimed at users wanting to enhance their AI interactions.

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Critical Evaluation

The video offers a valuable and practical contribution to the field of prompt engineering, addressing a common pain point: the need to adapt prompts to different AI tools. The methodology presented, based on role prompting, research, calibration, self-critique, and iterative refinement, is sound and aligns with known best practices in the field. The emphasis on using recent web research to stay up-to-date with evolving AI capabilities is particularly relevant. However, the video lacks rigorous scientific validation: the effectiveness of the meta-prompt is demonstrated through a single example, and no comparative data or user studies are provided. The creator’s claim that this is ’the perfect prompt’ is hyperbolic and not substantiated. The sources cited are primarily the creator’s own resources and other YouTube tutorials, which are not peer-reviewed or independent. The adéquation between title and content is good, as the video indeed presents a universal meta-prompt. The public comments are overwhelmingly positive, indicating practical utility for viewers. Overall, the video is a useful tutorial, but its scientific rigor is limited by anecdotal evidence and lack of external validation.

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Title / Content Match

The title accurately reflects the content: the video presents a meta-prompt designed to work across various AI tools.

Quality & Reliability

7/10

The video provides a practical, step-by-step tutorial on prompt engineering, with a clear methodology and demonstrations. The creator emphasizes research-based practices and iterative refinement, but the approach is largely anecdotal and lacks formal citations or peer-reviewed sources. The claims about universal effectiveness are not empirically validated, but the content is coherent and actionable.

Chapters

Cited Sources

Formation ChatGPT — Mentioned as a paid training resource for automating ChatGPT.
Ressources IA gratuites — Free resources including prompts and mini-formations, where Promptor v2 is available.
QG IA Community — Private community for AI enthusiasts, mentioned for further support.
Tuto pour rédiger un bon Prompt en 2026 — Previous tutorial on prompt writing, referenced for context.
Tuto ChatGPT Custom Instructions — Tutorial on custom instructions, related to prompt optimization.

Concurring Sources

OpenAI Prompt Engineering Guide — Supports the importance of iterative refinement and clear instructions.
Anthropic's Prompt Engineering — Emphasizes role prompting and structured outputs, aligning with the video's approach.

Dissenting Sources

No direct discordant sources found — No sources explicitly contradicting the video's claims were identified, but the lack of empirical validation is a limitation.

External References

Contribution & Novelties

The video introduces Promptor v2, a meta-prompt that adapts to any AI tool by researching current best practices and iteratively refining the output through self-critique and user feedback. This approach goes beyond static prompt templates and offers a dynamic, evolving solution.

Pour aller plus loin :

Prompt engineering guide — Comprehensive resource on prompt engineering techniques.
OpenAI Prompt Engineering — Official guide from OpenAI.
Anthropic’s Prompt Engineering — Official guide from Anthropic for Claude.

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Radar Profile

The radar profile shows high scores in information quantity and quality, with moderate technical depth and reliability. This indicates a well-structured tutorial with practical value, but with room for more rigorous scientific backing.

Reliability 7/10

💬 Très positif : Sur les 30 commentaires analysés, l'écrasante majorité exprime une gratitude et un enthousiasme marqués pour la qualité du contenu et l'efficacité du prompt présenté, certains le qualifiant de 'tuerie' ou de 'pépite'.