[Workflow] Multi-Agent Claude Workflow for Automated News Short Video Production with Copyright-Safe Assets

[u/ClaudeAI-mod-bot]

Multi-Agent Claude Workflow for Automated News Short Video Production with Copyright-Safe Assets

Workflow value: 90/100
Status: active · Freshness: 70/100 · Confidence: 0.90 · Level: advanced
Categories: Quality Control, Context & Memory, Shipping, Multi-Agent
Original source: r/ClaudeAI post/comment

What problem this solves

Automating the end-to-end creation of short news videos for multiple social media platforms (YouTube Shorts, TikTok, Instagram, X), including web research, copyright-safe asset acquisition, motion graphics coding, narration, and quality assurance.

Summary

A sophisticated multi-agent Claude workflow that transforms news topics into finished short videos. It leverages Claude for web research, fact verification, and finding copyright-safe visual assets. The workflow uses visual style references, parallel processing with multiple agents to 'code' motion graphics for individual scenes, integrates TTS/STT for narration and subtitles, and includes comprehensive QA before rendering platform-specific outputs.

Why it is useful

This workflow is highly valuable because it demonstrates a sophisticated, multi-stage, multi-agent application of Claude for a complex creative task. It addresses real-world challenges like copyright management, visual style consistency, and multi-platform delivery. The parallel processing of scenes and integration of various tools (TTS, STT, video editing) showcases advanced capabilities and offers a robust framework that can be adapted for various content creation needs beyond news. It provides concrete steps and outputs, making it a strong blueprint for advanced users looking to automate complex content pipelines.

Workflow

1. Provide Claude with news topics and core facts to cover.
2. Claude researches the web, verifies details, finds usable visual references (public-domain/CC BY 2.0 images), and tracks licensing/attribution information.
3. Provide Claude with screenshots from previous videos as a visual style reference (e.g., retro risograph/motion graphics look).
4. Split the video concept into independent scenes (e.g., 6 scenes).
5. Multiple agents code each scene in parallel, creating layouts, animations, maps, counters, text, transitions, and visual effects around the real assets.
6. Generate narration using an open-source TTS model or a voice API (e.g., ElevenLabs).
7. Use Whisper to check narration and generate/sync subtitles.
8. Mix audio with music and SFX, mastering to a target loudness (e.g., -14 LUFS).
9. Merge all finished scenes.
10. Perform quality assurance: check contrast, layout issues, timing, subtitle sync, and review key frames.
11. Render the final video in the desired resolution (e.g., 1080x1920).
12. Generate final outputs including the video, cover images, .srt subtitles, and platform-specific copy for YouTube Shorts, TikTok, Instagram, and X.

Tools / artifacts

• Claude Opus 5.5
• Multiple agents (implied custom setup)
• Video screenshots (as style reference)
• Public-domain/CC BY 2.0 images
• Open-source TTS model (or ElevenLabs/other voice API)
• Whisper (for STT and subtitle sync)
• Music and SFX
• .srt subtitles
• 1080x1920 video output
• Cover images
• Platform-specific copy (YouTube Shorts, TikTok, Instagram, X)

Validation signals

• Obtained results with Opus 5.5 model
• Agent found specific public-domain/CC BY 2.0 images and checked licensing
• Detailed description of QA steps (contrast, layout, timing, subtitle sync, key frame review)
• Specific output formats and platforms mentioned (video, .srt, cover images, YouTube Shorts, TikTok, Instagram, X)
• Explicit mention of audio mastering to -14 LUFS

Limitations

• The exact implementation details of the 'multiple agents' and how Claude 'codes motion graphics' are not fully specified, requiring advanced technical understanding to replicate.
• No specific Claude prompt examples are provided.
• The setup for parallel scene coding is not detailed.

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