How I Use GPT-6 Astra for My Entire Post-Production (Edit 5X Faster!)
Provides an in-depth look at agentic video editing and post-production automation using computer-use agents inside DaVinci Resolve and After Effects.
What this lesson covers
Adil demonstrates an automated post-production workflow using GPT-6 Astra connected via Higgsfield MCP to generate, cut, color grade, and mix video projects in DaVinci Resolve. The tutorial showcases creating a commercial from scratch, rebuilding long-form YouTube tutorials, generating After Effects motion graphics, and cutting promotional trailers.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:25 ↗
Enabling computer use allows Astra to directly control desktop editing software like DaVinci Resolve, requiring project backups and permission checks for safety.
- 02:00 ↗
Astra translates structured script briefs into Higgsfield generation prompts, generates shot assets, and places them onto the Resolve timeline.
- 03:20 ↗
Astra automates audio post-production by pulling dialogue, track music, and layered sound effects onto distinct, organized timeline tracks.
- 06:06 ↗
Automated color grading generates dedicated node trees in DaVinci Resolve, allowing manual fine-tuning of contrast and skin tone matching across different angles.
- 06:59 ↗
Astra writes and executes custom scripts directly inside Adobe After Effects to render motion graphics with alpha channels and automatically composite them into Resolve.
Workflow outlined in the video
- Connect Higgsfield to ChatGPT using the Higgsfield MCP connector and supply custom editing skill configuration files.
- Enable desktop computer use permissions so the AI agent can control DaVinci Resolve and file management.
- Feed project context, past After Effects project templates, brand fonts, and sound libraries to maintain stylistic consistency.
- Provide a detailed script with scene descriptions, camera directions, and dialogue cues for automated generation and timeline assembly.
- Review initial AI timeline drafts and submit specific timecode adjustments or manually trim micropauses and node adjustments directly in DaVinci Resolve.
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.
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How to interpret the numbers
74,086 views captured 3 October 2026. ReelStack recommendation score: 70/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 2.10× views vs 3 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 96/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 24/100; likes + 4× comments, smoothed with a 500-view neutral prior