Mon Stack IA ! Quel est le vôtre ?...

Mon Stack IA ! Quel est le vôtre ?...

My AI Stack! What is yours?...

🎙 Renaud Dékode 👥 256K 📅 November 13, 2025 ⏱ 21 min 👁 5K 📄 expert opinion 🧭 2026-09-14
Available in: English (current) Français

Keywords

AI stacktool selectionPerplexityClaude Sonnetlocal LLM

Summary

In this video, Renaud Dékode explains his personal AI toolkit, emphasizing that tool selection depends on individual needs and use cases. He lists and justifies each tool: ChatGPT (GPT-5 Thinking) for analysis and brainstorming, Perplexity for research and fact-checking, Feedly for news aggregation and sourcing, NotebookLM for learning (though he admits he uses it rarely), Claude Sonnet 4.5 for writing, spreadsheets, and document generation, and Gemini 2.5 Pro for processing very large contexts and Google ecosystem integration. For development, he uses Claude Code (web) and occasionally Gemini 2.5 Pro in command-line mode, while Hostinger Horizon is his preferred vibe-coding tool for web apps and landing pages. For visual content, Midjourney serves for inspiration, Flux (Kontext Pro) for actual image generation, and Canva for composition. Video editing is done with CapCut, with Runway used occasionally for AI video effects. Suno is used for music generation, but rarely. For local AI and automation, he employs LM Studio and AnythingLLM, with models like GPT-OS 20B and Mistral Small, and uses Make and n8n for no-code automation workflows. The video concludes with an invitation for viewers to share their own stacks on his website, underscoring the principle that no single toolset is universally best.

200 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video’s value lies in the practical, experience-based demonstration of how AI tools can be integrated into a creative and professional workflow. The creator clearly argues that tool effectiveness is context-dependent, not universal, and supports this with specific examples of his own tasks. He demonstrates a thoughtful approach to tool selection, explaining why he uses one tool over another based on its strengths (e.g., Perplexity for research, Claude for writing). The argumentation is logical and honest, including admissions of tools he recognizes are useful but does not personally adopt (e.g., NotebookLM). However, the content remains subjective and lacks empirical comparison or controlled testing, relying entirely on personal preference and anecdotal experience. The argument would be stronger with benchmarks or user studies, but as an expert opinion, it is well-reasoned and reasonably persuasive.

Scientific Rigor, Source Quality, Title Accuracy

The title accurately reflects the content, which is a personal account of the AI tools the creator uses, and it invites audience participation. Scientific rigor is low: the video offers no external citations, data, or systematic reviews; it is a purely opinion-based sharing of personal workflow. The only source mentioned is the creator’s own website (renaud-dekode.fr), which cannot be considered an authoritative reference. The content is internally consistent and the arguments are coherent, but the reliability is limited to subjective experience. The video does not claim to be scientific, so it is appropriate for its purpose, though viewers seeking evidence-based comparisons will be disappointed.

251 words

Title / Content Match

The title directly matches the content: the presenter shares his personal AI tool stack and invites viewers to share theirs, as described in the video.

Quality & Reliability

6/10

The content is a subjective, experience-based overview of AI tools used by the creator in a professional and creative context. It offers clear, practical insights but lacks rigorous scientific validation or external citation, making its reliability moderate.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • Renaud Dékode's website — The creator refers viewers to his website for sharing their AI stacks and accessing additional content related to AI tools.

Contribution & Novelties

The video offers a personal and honest perspective on AI tool selection, emphasizing the importance of matching tools to specific workflows. Its originality lies in the comprehensive listing of tools across various categories (research, writing, development, design, automation) and the explicit admission that some tools are useful yet not adopted personally, which counters the common narrative of a single ‘best’ AI. The creator also shares practical tips, such as using one-shot prompts for problem-solving and leveraging project-based memory in ChatGPT.

Pour aller plus loin :

133 words

Radar Profile

The radar profile shows a medium quantity of information and moderate quality, with a low technical level consistent with the video's broad, non-specialist audience. The reliability score is moderate, reflecting the subjective and experience-based nature of the content, which is typical for personal tech recommendations.

Reliability 5/10