Waddle Labs

Waddle Labs · Launch Video Breakdown: Hook, Pacing & Motion Design

Claude Code for robots.

AI AgentsProductionJuly 27, 2026@DozenDucc2K followers
0:00 · The Hook · Micro-Proof Montage
0:00 / 0:00

Scene-by-scene timeline & spoken transcript

  1. The Hook

    Micro-Proof Montage

    “(No spoken dialogue — mechanical robotic whirring and ambient audio)”

    On screen
    in mo
    Camera
    Tight macro close-ups cutting to medium wide living-room setup
    Motion
    Fast kinetic cuts between delicate manipulations
  2. Product Reveal

    Founder Value Proposition

    “We build AI agents that control robots.”

    On screen
    (No on-screen text)
    Camera
    Static eye-level two-shot
    Motion
    Direct-to-camera founder delivery
  3. Feature Teaser

    Prompt to Autonomous Execution

    “Connect our API to your robot and enter a prompt. Then our agents write code and use skills to create a working policy. After 20 minutes, your robot learns the task.”

    On screen
    Fold the t-shirt | shirt = get_coords("t-shirt") | Autonomous
    Camera
    Over-the-shoulder typing cut to front-facing benchtop rig
    Motion
    Floating prompt badge entry and translucent code inspection card
  4. Feature Teaser

    Benchmark Split Comparisons

    “We aim to make robot intelligence that is accessible. Tasks that usually require specialized models costing billions of dollars to train can now be solved in 20 minutes by an agent thinking. Our agents are inherently generalist. They work with any robot in any environment.”

    On screen
    Figure | Waddle Labs in 20 minutes | Physical Intelligence | Waddle Labs in 20 minutes
    Camera
    Split-screen side-by-side locked perspective
    Motion
    Synchronized dual-pane comparative evaluation
  5. Feature Teaser

    Multi-Agent Coordination & Long Horizon Planning

    “They also excel at long-horizon planning and can break a complex physical goal into subtasks to work through. And what if we have agents that spawn sub-agents? Now, I mean, we can coordinate an entire fleet of robots that work together.”

    On screen
    Pick up all three cups | Give the bottle to the robot arm | Place the mints in the bottle | Continue cleaning up the room
    Camera
    Wide static apartment tracking humanoid and desktop arm
    Motion
    Cascading floating prompt capsules anchoring agent state
  6. Feature Teaser

    Everyday Prompting & Data Scaling

    “For the first time, you can make robots do tasks simply by prompting. This unlocks many exciting capabilities. Internally, we've been using our agents to generate data, run auto-research to train models, and even go straight to deployment.”

    On screen
    Autonomous | Stack the legos | Unscrew the bottle cap | Generate data for picking legos at different poses | Sort the nuts and screws
    Camera
    Close-up manipulation cuts, 4x4 matrix grid, overhead sorting view
    Motion
    Multicam mosaic tile grid synchronized playback
  7. Problem Agitation

    Empirical Scaling Laws

    “In all these cases, we're finding that larger models with higher budgets perform better. So, we're very excited to see where this goes as foundation models continue to scale.”

    On screen
    Success scales with model size and thinking budget | Average Success Rate Across Task Suite | Cost Per Task | Fable 5 | GPT 5.6 Sol | Opus 4.8
    Camera
    Static full-screen data graphic
    Motion
    Animated multi-line vector graph progression
  8. Call to Action

    Mission & Early Access

    “We believe there will be billions of robots in the future, and our mission is to enable everyone to take part in building them.”

    On screen
    Request early access: founders@waddlelabs.ai | Our technical blog: waddlelabs.ai/research | Waddle Labs
    Camera
    Eye-level founder frame transitioning to black outro card
    Motion
    Minimalist centered text reveal and vector logo fade

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