DecagonAI · Launch Video Breakdown: Hook, Pacing & Motion Design

Scene-by-scene timeline & spoken transcript

1. 0:00 – 0:13

   The Hook

   The Frontier Model Dilemma

   “When we started Decagon, we used the same frontier models as everyone else. We found that they're incredibly powerful, but they're also general purpose. They're not really built specifically for customer service experiences.”

   On screen

   Max Lu Decagon / Head of Research

   Camera

   Static front medium shot alternating with a dynamic side 45-degree angle profile shot, interspersed with office b-roll.

   Motion

   Multi-camera studio interview jump cut to whiteboard mathematical derivation b-roll.

2. 0:14 – 0:45

   Problem Agitation

   Specialized Needs for Customer AI

   “And customer-facing AI really has specific requirements. It needs us to be fast, accurate, consistent, and conversational across every interaction. So we made a decision pretty early on that we should train our own specialized models to complement the frontier models. One model can detect when a user finishes speaking, one for picking the right agent operating procedure, one for catching hallucinations, and so on. Over time, that effort grew into something bigger.”

   On screen

   (No on-screen text)

   Camera

   Alternating A/B camera talking head cutting to over-the-shoulder code review b-roll.

   Motion

   Fast-paced documentary pacing paired with technical workspace cutaways.

3. 0:46 – 0:47

   Product Reveal

   Introducing Decagon Labs

   “And we're calling that Decagon Labs.”

   On screen

   INTRODUCING Decagon Labs

   Camera

   Locked-off graphic title card.

   Motion

   Minimalist dark slate display featuring neon violet and teal perimeter ambient glows.

4. 0:48 – 1:19

   Feature Teaser

   Full-Stack Research & 80% Traffic

   “Decagon Labs is the research and agent orchestration arm of our engineering team. The simple version of what we do is make the platform better. We do that through post-training, new architectures, evaluation methods, all focused on building the best AI agents to power concierge customer experiences. At this point, over 80% of Decagon's traffic runs on our in-house models that achieve state-of-the-art performance on our use cases. We invested deeply in the research stack to get there, including human annotation pipelines, end-to-end evaluation infrastructure, and training platforms. It's still early days, but it's already paid off.”

   On screen

   Cyrus Asgari Decagon / Research Engineer

   Camera

   Multi-angle two-camera studio dialogue switching between front medium and close side-angle profile.

   Motion

   Clean talking head cut cadence with subtle lower-third typography entry.

5. 1:20 – 1:58

   Call to Action

   Narrow, Applied Research & Outro

   “What makes Decagon Labs different is the kind of research we ship. The foundation labs are solving broad problems, our focus is narrower and more applied. We're building the best models in the world for giving everyone the concierge customer experience that they deserve. That specialization lets us move faster and dig deeper. Our agents now power millions of customer interactions for some of the largest businesses in the world. And we're sharing some of our work. From post-training techniques to agent orchestration to advanced retrieval systems, everything we publish reflects what's already improving our agents in production. There's a lot of room to push this space forward, and that's what Decagon Labs is here for.”

   On screen

   Dante Everaert Decagon / Research Engineer Decagon

   Camera

   Alternating close-up and medium camera angles cutting to three-person collaborative whiteboard session, resolving to static centered brand card.

   Motion

   Documentary cutaways, subtle lower thirds, and smooth color glow dissipation behind brand logo.