Production Intelligence

The Producer in the Machine.

I approach AI as a producer first. In the same way a producer carries the schedule and the budget across years of high-stakes production, and answers for the room, I read the cost of a frame so I can protect the people who make it.

The Lab

In my lab, I turn that producer's eye on the machine itself. I write the code and run the models myself, and the work goes into production.

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Flagship tool · LiveBefore · After
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Melissa Beery
Flagship tool

Capture the Light

Reads how an AI frame was lit, then hands you a recipe to carry that lighting into your own generations or relight the shot you already have. It even exports a Blender scene so you can rebuild the setup in CG.

Launch Capture the Light →
Live tool

Call Sheet

Describe the shot. Get the model. Fifty frontier models rated on control, consistency, editing and where they break, each with its licence position attached. Then take that model’s prompt builder, paste it into any LLM, and get a finished prompt written in the structure that model actually responds to.

Open the Call Sheet →
Gemini Gem

The AI Image Jury

Runs your AI frames past a five-judge technical panel and scores them like real plates.

Convene the Jury →
Live tool

Ink & Voice

What does your voice look like? Ink & Voice paints the answer, pulling every colour and shape straight from the sound as it listens. Speak or play a song you love, and walk away with a video and a print that could only come from you.

Open Ink & Voice →

How I Work

01

Culture and leadership.

The hardest part of adopting AI is the human part. It depends on leading directors and supervisors through an enormous shift without alienating the talent who make the work.
02

Map the whole production.

The value of AI lives in how it moves through the whole production. What counts is knowing exactly where a tool speeds the work and where it backs up the production later.
03

Audit real progress against perceived progress.

Most studios are already building with AI. The work that matters now is naming which tools actually earn their place in the production.

The Stack

The toolkit behind the build side. This is what I reach for, sorted by where it lives in the work.

Knowledge & Context
Gemini Notebook Perplexity Tavily Google Drive Hugging Face MCP
Foundation Models
Claude ChatGPT Gemini
Agentic Execution
Claude Code Playwright Google AI Studio Google Workspace MCP
Creative Generation
Higgsfield Web + CLI Fal.ai Custom LoRAs Remotion Magic Stitch Figma Canva
Infrastructure & Environment
VS Code GitHub Netlify Vercel

I built this website along with the tools and research automation I use in my own work.

The instincts behind all of it took a career to earn. That story is here →