Muse Wonder — Meta's frontier agent models · Launch Video Breakdown: Hook, Pacing & Motion Design

Scene-by-scene timeline & spoken transcript

1. 0:00 – 0:05

   The Hook

   Team Montage Opening

   “(No spoken dialogue — upbeat electronic synthesizer music)”

   On screen

   (No on-screen text)

   Camera

   Rapid jump cuts of team members smiling and waving in an office library.

   Motion

   Shallow depth of field rack focus.

2. 0:05 – 0:30

   Product Reveal

   Announcing Muse Wonder

   “Today, we're releasing Muse Wonder, our largest and strongest model yet, and our next step towards personal superintelligence. Muse Wonder is a frontier-class model and leads on personal and professional agents. Muse Wonder was built to help you do more of what matters, make the hard things easier, and bring what you want within reach. This could be doing a cross-country move, navigating a tedious insurance filing, or turning a hobby you love into a business of your own.”

   On screen

   Alexandr Wang Chief AI Officer Euler is his Muse

   Camera

   Alternating between profile closeup and medium frontal talking head.

   Motion

   Subtle lower-third badge pop-in with circular avatar icon.

3. 0:30 – 0:50

   Problem Agitation

   Messy Real-World Tasks & Active Memory

   “To do that, Muse Wonder has to work in the real world, where tasks are messy, unfold over time, and require keeping track of a lot of information along the way. And that's exactly where we focused our training in this model. We put a tremendous amount of effort into making sure that our model can remember what's important to you over days, weeks, months, and beyond.”

   On screen

   Michelle Ko Research Product Manager Alfred is her Muse Kavya Kopparapu AI Research Scientist Pebble is her Muse

   Camera

   Alternating close-up and medium frontal shots in library setting.

   Motion

   Minimal branded lower-third animations with companion icon indicators.

4. 0:50 – 1:00

   Feature Teaser

   Active Memory Visualization

   “We call this active memory. It remembers my little habits, my preferences, and even those random conversations I've had with it.”

   On screen

   (No on-screen text)

   Camera

   Static top-down graphic animation on textured paper.

   Motion

   Papercut line-and-node dynamic network clustering into a single sphere.

5. 1:00 – 1:27

   Feature Teaser

   Active Focus & Perseverance

   “Well, the most challenging part of building this model is to reliably reproduce real-world failures. That's how we train the model to anticipate and avoid those failures for our users. Active focus gives our model a tremendous amount of perseverance. It's been trained to not give up. And so when it's faced with a challenge or a blocker, it will try alternative solutions so that it can still deliver on your task and your goals.”

   On screen

   Cosmo Du AI Research Scientist Rara is his Muse Quentin Wellens Research Product Manager Quartz is his Muse

   Camera

   Medium frontal cuts to hand gestures, switching to 2D paper obstacle animation.

   Motion

   Dynamic 2D obstacle navigation animation with textured blocks.

6. 1:27 – 2:16

   Feature Teaser

   Daily Knowledge Work & Practical Tasks

   “Muse Wonder is also particularly strong at knowledge work in your daily life. What makes this model state of the art is the set of tasks and data we used to train it. This isn't just a model that's good at math or code or software engineering, it's great at exactly the kinds of tasks that we expect people will encounter in their daily lives, whether that's health, or finance, or legal things, like reviewing a lease. For example, I'm looking for a new rental recently and I'm a little bit picky, so I have a lot of constraints. What I do is I ask our model to research all the new listings from multiple sources every day, and then the model will just contact the owner on behalf of me. So it really saves me a lot of time and a mess. We're hoping that we give people the tools to accomplish more in their life than they could have before, and I'm really excited to see what people actually do with it.”

   On screen

   Rob Fergus VP, Research Lilac is his Muse John Cherian AI Research Scientist Eliza is his Muse Elaine Le AI Research Scientist Violet is her Muse

   Camera

   Alternating medium shots, profile angles, and top-down document spread animation.

   Motion

   Stop-motion style unfolding paper UI cards and document layouts.

7. 2:16 – 2:32

   Call to Action

   Availability & Call to Action

   “Muse Wonder is available today through the Meta Model API and Muse Code. We'll also soon be powering experiences within Muse, rolling out first to subscribers. Give it your everyday tasks, your goals, and your dreams, and see how it works with you to make them real.”

   On screen

   (No on-screen text)

   Camera

   Medium shot shifting to close-up profile and returning to frontal center.

   Motion

   Warm cinematic grade fading slowly to pure black.