Why build an internal multi-model AI video generation tool?

Short answer: Jordan Metzner says Ryz Labs already gives staff a chat app with many models via API keys to avoid subscription fees. After Google launched Veo 3 the social team wanted access, so he built a video tool with many top models.

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Watch this answer from Episode 1 (starts at 3:20) · Episode 1 notes and transcript

What was said on Built This Week

From Episode 1: How We Built an AI Video Studio in 3 Days, starting at 3:20.

Sam Nadler [3:20]: Perfect. So let's actually perfect segue. We're gonna jump into the tool for the week, and this is a tool we built internally about just before we even get into what the tool is. Number one is how long roughly did it take us to get this v one out? And then what was generally speaking the purpose? What was the problem we were trying to solve? And then we'll get into the tool itself.

Jordan Metzner [3:42]: Yeah. Good question. So, there's been a lot of marketing and promotion around new video generation and image generation tools. And, we currently offer a lot of different AI tools available to the people that work at Ryz Labs. We have what we call like AI Ryz Chat where we've built our own kind of like a ChatGPT model where users can pick from all different types of models from Anthropic to a ChatGPT to Claude to DeepSeek and then just, chat with any model they want. And what that allows us to do is avoid, like, high subscription fees over a large population of people and instead leverage, like, API keys as a consumption layer so that just drives down the cost of the use case, and you just kinda pay for what you use. And it opens up, like, kind of the amount of, models and tools that that you folks are available to use. So instead of saying, like, okay, I'm gonna choose, like, a subscription to Anthropic or a subscription to ChatGPT for my folks, instead we're building a tool that lets them have, access to all those models simultaneously while not even paying any subscription fees. So kind of you get the best of both worlds. And I think, like, probably the launch of, Veo three, the newest, Google model was that was probably, like, the biggest pivot.

Jordan Metzner [4:56]: Like, Sora from OpenAI, their video model was, made some big rumblings, but, know, the quality of it has not been that great. And then when, Google dropped Veo three, it seemed like, kind of we had a step function improvement. And then right when that dropped, we've seen a bunch of new models from there. And at Ryz Labs, we do a lot of social media content. We have a lot of brands. We have a lot of different businesses. We're producing for all different types, for our own businesses, for clients, kind of all different types of video content. And usually, that's the biggest bottleneck is just like the time it takes to produce videos, not just to the editing of them, but just like creating them and filming them and, we'd have to do photo shoots and video shoots and all that. So, with the advent of these models, our goal is to be able to produce more content faster and better. And yeah. So, there was just a lot of demand from the social team of, like, how can we get access to Veo three? And, we wanted to kinda do something pretty similar to what we did with the, chat by giving access to not just Veo three, but as many models as possible or, like, top tier models as possible so they can generate their own content. So, we built our own, like, video generation tool. I recently just added image generation. You know, it leverages a bunch of different models, so it allows our team to create their own content pretty rapidly, and I'll show you a little bit of, like, how the tool works and, as well as how I built it.

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