J’ai créé cette pub avec l’IA (et je te montre comment)

J’ai créé cette pub avec l’IA (et je te montre comment)

I created this ad with AI (and I show you how)

Title history
  • J’ai créé cette pub avec l’IA (et je te montre comment) — observed on 20261111-0817 UTC (YouTube)

by Rudy IO · View the channel on PSI

Applied Sciences & Engineering Economics & Finance KJSSales and marketingKJSAAdvertising
🎙 Rudy IO 👥 4K 📅 September 15, 2026 ⏱ 14 min 👁 605 📄 tutorial 🧭 2026-11-11
Available in: English (current) Français

Keywords

AI video generationad creationChatGPTBlenderMeta Ads

Summary

This tutorial by Rudy IO walks through the creation of a video advertisement using artificial intelligence. Starting with a script and self-filmed footage, the creator uses AI chatbots like ChatGPT and Claude to assist with scriptwriting, storyboard generation, and even browser automation. He prepares camera movements in Blender, generates storyboard images, and creates scenes using Krea (with Seedance 2.5) and also mentions MiniMax H3. The editing is done in CapCut, with music generated by Suno, and image upscaling via Higgsfield. The process includes numerous AI failures and prompt adjustments, highlighting the need for human oversight. The final ad is produced in two versions (70 seconds and 30 seconds) for organic and paid use. The creator also demonstrates how ChatGPT configures and launches a Meta Ads campaign, including targeting and budget settings. He emphasizes that the total active working time is about 3 hours, despite several days of AI processing. The video concludes with a reflection on the democratization of high-production-value ads for small businesses, even noting a remaining ‘uncanny valley’ effect. The overall presentation is practical and candid, offering a realistic view of current AI video generation capabilities and limitations.

190 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a concrete, replicable example of using AI for video ad production, valuable for marketers and content creators. The argument is based on incremental demonstration: each step is shown with real outputs, failures, and adjustments, making the value proposition credible. The creator’s honest commentary about challenges (e.g., audio issues, illogical generations, lengthy delays) strengthens the argument by avoiding exaggerated claims. However, it lacks any comparative analysis or outside expert opinions, so the demonstration’s generalizability remains untested. The argumentation is coherent but relies heavily on anecdotal evidence.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is limited; this is a tutorial rather than a peer-reviewed study. The only source referenced is the creator’s own website (https://nxus.fr/ ), which serves as a commercial hub for his AI training courses. No external studies or independent analyses are mentioned. The title accurately represents the content, as the video indeed shows the process of AI-assisted ad creation. The video’s technical details are internally consistent, but the lack of external validation and the absence of critical discussion of AI limitations (e.g., costs, ethical concerns) diminish its scientific credibility. The integration of practical steps with AI tools is well-structured, but the overall approach is instructional rather than investigative.

213 words

Title / Content Match

The title accurately reflects the content: the creator demonstrates the entire process of creating an advertisement using AI, from ideation to campaign setup.

Quality & Reliability

7/10

The video offers a transparent, step-by-step workflow of creating an AI-generated video ad, including failures and iterative corrections. However, it is a personal testimony with no external validation or comparative benchmarks. The claims about tool effectiveness are subjective and not empirically tested.

Chapters

Cited Sources

Contribution & Novelties

The video’s original contribution lies in its detailed, practical walkthrough of an end-to-end AI-generated advertising production, showcasing a realistic implementation involving multiple AI tools and human intervention. It fills a gap for creatives who need a realistic benchmark of current AI capabilities and pitfalls. The constant emphasis on failures and prompt adjustments provides a pragmatic framework for others attempting similar projects.

Pour aller plus loin :

  • Text-to-video model — Wikipedia overview of text-to-video AI technologies, relevant for understanding the core generation tools used.
  • ChatGPT — Background on the conversational AI used for automation and scriptwriting, clarifying its role in the workflow.
  • Blender (software) — Open-source 3D creation suite used for motion preparation, offering a basis for the 3D components.
  • Meta Ads Manager — Official Meta platform for campaign setup, relevant to the later part of the video.
  • Suno AI — Information on the AI music generation service used for the soundtrack, though the Wikipedia page may not be definitive.

159 words

Radar Profile

The radar profile shows balanced but moderate scores, with quantity of information being the highest, reflecting the detailed process documentation. The fiabilité and technique scores are lower, indicating that the content is informative but not deeply scientific or technically advanced. The overall profile suggests a practical tutorial with limited critical depth.

Reliability 6/10