30+ AI VFX That Turn Simple Videos Into Magic

30+ AI VFX That Turn Simple Videos Into Magic

by Matt Wolfe

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Matt Wolfe 👥 1.0M 📅 July 8, 2026 ⏱ 29 min 👁 51K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

AI VFXRunwaySeed DanceGeminiRemotion

Summary

Matt Wolfe presents a comprehensive tutorial on adding AI-driven visual effects to videos, emphasizing a ‘95% human, 5% AI’ approach. He demonstrates how to create dynamic intros using Runway’s keyframe feature with models like Seed Dance 2.0, including variations like the ‘Animorph’ hack. He covers location transitions, background effects with Gemini, and generating B-roll and text highlight animations using Claude Code and Fable. The video also explores logo reveals, lower thirds, and motion graphics using Remotion and Codex, as well as animated talking heads. Wolfe provides practical tips, such as using smooth cut transitions in Da Vinci Resolve and prompting models to avoid unwanted speech. He acknowledges limitations, like text accuracy in lower thirds and geographic errors in flight path animations, and recommends different tools for different tasks. The tutorial is aimed at creators who want to enhance their videos without full AI generation, offering a variety of accessible techniques.

150 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides high practical value, offering step-by-step workflows that viewers can directly apply. Wolfe’s argumentation is solid, grounded in his own testing and demonstrations. He clearly explains the process for each effect, including the tools used, prompts, and potential pitfalls. He also compares different tools and models, giving viewers informed choices. The emphasis on a hybrid approach (human + AI) is a thoughtful perspective that addresses common concerns about AI-generated content quality.

Scientific Rigor, Source Quality, Title Accuracy

The video demonstrates scientific rigor in its methodology: Wolfe shows real examples, explains his prompts, and notes when results are imperfect. He cites specific tools and models, and the description includes links to his website and social media, but no external scientific sources. The title accurately reflects the content, which is a tutorial on AI VFX. The video is well-structured with clear chapters, and the claims are consistent with the demonstrations.

159 words

Title / Content Match

The title accurately reflects the content, which showcases numerous AI VFX techniques for enhancing videos.

Quality & Reliability

8/10

The video is a practical tutorial by a known AI tools commentator, demonstrating real workflows with multiple AI tools. Claims are based on personal experience and direct demonstrations, with no unsubstantiated scientific claims. The methods are reproducible, and the creator acknowledges limitations and variations.

Chapters

Cited Sources

  • Future Tools — Main website for AI tools and news, referenced as the creator's platform.
  • Future Tools Newsletter — Weekly newsletter mentioned as a way to stay updated on AI news.
  • Matt Wolfe LinkedIn — Professional profile of the creator, linked in the video description.
  • Matt Wolfe Threads — Social media profile of the creator, linked in the video description.

Concurring Sources

  • Runway — The video demonstrates Runway's keyframe feature, which is consistent with its official documentation.
  • Gemini — The video shows Gemini's video editing capabilities, aligning with its advertised features.

Contribution & Novelties

This video offers a practical, up-to-date compilation of AI VFX techniques, showcasing the current capabilities of tools like Runway, Seed Dance 2.0, Gemini, and Remotion. It provides a unique perspective on integrating AI effects into traditional video editing workflows, with a focus on subtlety and quality. The ‘Animorph’ hack and the use of Claude Code for B-roll are particularly novel. The video also highlights the limitations of current models, offering a realistic view of what is achievable.

Pour aller plus loin :

  • Runway — The primary tool used for many effects, offering keyframe-based generation.
  • Seed Dance 2.0 — A video generation model praised for its quality in transitions and effects.
  • Gemini — Google’s AI model used for background effects and video editing.
  • Remotion — A framework for creating videos programmatically, used for logo reveals and motion graphics.
  • Da Vinci Resolve — The video editor used for compositing and transitions.

149 words

Radar Profile

The radar profile shows high scores in information quantity and quality, with moderate technical depth and reliability. This indicates a content-rich tutorial that is practical and trustworthy, though not deeply technical or research-oriented.

Reliability 8/10