A few weeks ago I wrote down my talk on how one phone becomes a broadcast camera. This is the other end of that cable, from the second talk I gave this year, this time to an Elixir crowd at Goatmire.

I am not going to pitch Elixir. I am going to tell you how a small dashboard on a camera control panel turned into a color studio, and how every time the problem got harder, we added a neighbor language next to Elixir instead of rewriting.

Elixir is in every part of this story. It is the star in none of them. That is the point.

I gave a 20-minute talk this year at RTCON by Software Mansion on the color science behind CyanCamera, the app we built at CyanView that lets an iPhone sit next to a Sony Venice or an ARRI Alexa in a live broadcast truck. This post is that talk, written down.

AI agents are starting to crawl the web the same way browsers do, except they do not need your CSS, your hero animations, or your tracking pixels. They need text. Clean, structured, semantic text. If your site only speaks HTML, the agent has to render, parse, and guess. If your site speaks markdown when asked, the agent gets exactly what it needs in a fraction of the tokens.

isitagentready.com is a small validator that checks your site against a growing set of “agent skills”. One of the most useful checks is markdown content negotiation: when a client sends Accept: text/markdown, your server should respond with markdown instead of HTML, on the same URL.

This post shows the exact Plug we use on this Phoenix app to pass that check, in well under a hundred lines of code.

Broadcast grade color scopes, inside a LiveView

A few months ago we needed real video scopes inside our Phoenix app. Not toy histograms. The actual four you see in DaVinci Resolve, Baselight, Nuke: waveform, RGB parade, vectorscope, histogram. Colorists grade with these. If yours are off, people stop trusting the tool within about ten seconds.

I looked at the ticket and thought, “ok, this is where we finally bolt on a separate frontend”. Turns out no. A LiveView hook and about 900 lines of WebGL later, the scopes were running at 30 fps next to the grading controls, and the Elixir side was basically asleep.

At CyanView, we run a Phoenix LiveView application on embedded hardware. Out of the box, the BEAM VM was eating 300MB of RAM at idle and keeping the CPU at 45%. After tuning, we got it down to ~120MB and 5-10% idle CPU.

Here’s exactly what we changed and why each thing matters.