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Palmier Pro: My New AI Video Workflow

Palmier Pro, a native macOS app with a local MCP server, connects an LLM agent directly to a video timeline to automate mechanical tasks like rough cuts, asset management, and content generation, solving the download-import-tweak-repeat cycle. Built in Swift and open source, it uses local APIs for transcription, visual search, and audio analysis, though it is macOS-only and struggles with artistic pacing.

read3 min views1 publishedJul 23, 2026
Palmier Pro: My New AI Video Workflow
Image: Promptcube3 (auto-discovered)

Connecting an LLM agent directly to a video timeline solves the most annoying part of AI content creation: the "download-import-tweak-repeat" cycle. I've been testing Palmier Pro, and the fact that it's a native macOS app with a local MCP server means you can actually let an agent handle the grunt work without leaving the editor.

I've noticed that while the AI struggles with "artistic" pacing, it's surprisingly decent at rough cuts if you give it a pattern to follow, like a transcription or a beat. It's basically an LLM agent for your timeline.

The real value here isn't "AI creativity"—which is still hit or miss—but automating the mechanical stuff. For anyone doing high-volume output, having an LLM agent manage projects or import media via URL is a massive time-saver.

Technical Breakdown #

The tool is built in Swift to avoid the bloat of Electron/Node.js, which makes a huge difference in performance. It leans heavily on local macOS APIs for the heavy lifting:

Local Transcription: Uses SpeechAnalyzerVisual Search: SigLip2 for embedding video frames locallyAudio Analysis: beat_this for beat detection and Silero VAD for silence removal

Core Agent Capabilities #

If you connect your agent (like Claude or Codex) via the MCP server or the in-app chat, the LLM can actually perform these tasks:

Timeline Manipulation: Handling tracks, clips, and keyframesAsset Management: Organizing folders and importing filesystem mediaContent Generation: Creating SFX, music, captions, and AI video clips directly in the projectSearch: Finding specific footage using local embeddings

I've noticed that while the AI struggles with "artistic" pacing, it's surprisingly decent at rough cuts if you give it a pattern to follow, like a transcription or a beat. It's basically an LLM agent for your timeline.

Since it's open source and macOS-native, it's a great way to set up a local AI workflow. Just a heads up—it's macOS only for now, so Windows/Linux users are out of luck until they expand.

https://palmier.io

Next My AI Workflow: Engineering the Environment →

All Replies (6) #

J

This looks like a lifesaver. I spent all day yesterday struggling to edit a basic video for a project and it was a total nightmare. Definitely going to give this a try!

0

M

Finally something to help me tackle my massive action cam archive. I'm starting with some old GoPro footage, but I'm really hoping 360 support is already in there—or coming soon—before I get to my Insta360 clips. Anyone know if it handles equirectangular files yet?

0

M

I'm not in the video space myself, but this looks solid and your promo is top-notch. Really clean execution!

0

C

It's so refreshing to see actual native apps instead of those Electron memory hogs. I've starred this! If you're looking for something that handles heavy lifting and cross-platform stuff well, you should check out Crux. It's Rust-based and I've been experimenting with it lately: https://github.com/redbadger/crux

0

S

So Swift? I'm guessing cross-platform support is basically a distant dream then. Not a problem for me since I live in the Mac ecosystem, but someone should probably say it out loud. If this can actually handle automatic speaker cuts without ruining my life, I'm in. Let's see if it actually works or just looks good in the demo.

0

M

Been subbed to Marcos's channel for a while now and it's honestly refreshing to see them finally nail the product-market fit. Seems like something people actually need rather than just another gimmick. Huge win for them.

0

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