NEW AI Agent Makes YouTube Shorts With AI - Insanely Good!
Autonomous multi-step video agents are lowering the technical barrier for automated content pipelines and high-volume short-form publishing.
What this lesson covers
Dan Kieft demonstrates Agent Opus, a new AI agent currently in beta that automatically researches, writes, animates, and edits YouTube Shorts from simple prompts. The tool handles everything from script confirmation and hook selection to integrated captions and voiceover generation.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:14 ↗
Agent Opus automates the complete short-form video workflow, including research, storyboard planning, scriptwriting, asset gathering, animation, voiceover recording, and editing.
- 1:25 ↗
Creators can select from multiple pre-built AI voiceovers, such as Britney, and attach reference links or news articles to ground the video's context.
- 2:21 ↗
The agent offers three distinct hook styles—text match cut, object reveal, and slides cut—allowing users to customize the opening of their short.
- 4:20 ↗
Users can also paste their own pre-written scripts into the agent for automated video assembly and caption integration.
- 5:24 ↗
Upcoming features for the tool include AI avatar integration to further expand content formats.
Workflow outlined in the video
- Join the beta waitlist or use creator invite codes to gain early access to Agent Opus.
- Input a text prompt or attach relevant news links and articles to provide foundational context for your short.
- Choose a preferred voiceover profile from the available options to match your channel style.
- Review and confirm the generated script and select from the available hook templates.
- Export the fully edited short with built-in captions and make minor adjustments if necessary.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
72,794 views captured 23 October 2026. ReelStack recommendation score: 34/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.75× views vs 12 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 31 views/day vs 11 channel baseline (5 comparable uploads), with the same view-evidence factor
- 10% engagement: 6/100; likes + 4× comments, smoothed with a 500-view neutral prior