Constrained Decoding Models — one task each · Launch Video Breakdown: Hook, Pacing & Motion Design
Constrained Decoding Models
Scene-by-scene timeline & spoken transcript
The Hook
Why Is It Still Typing?
“Your model already read the answer. So why is it still typing?”
- On screen
- Your LLM already read the answer SO WHY IS IT STILL TYPING? INVOICE Halcyon Supply Co. Northwind Traders Ltd. 2026-10-06 2026-11-05 USD Question: What is the Supplier Name, Date, and Currency? Answer: "supplier" Hal cyon Supply
- Camera
- Static front view zooming slightly into invoice schema fields.
- Motion
- Token boxes fill in sequentially with character-level cursor delay.
Product Reveal
Introducing Constrained Decoding Models
“Introducing Constrained Decoding Models.”
- On screen
- introducing Constrained Decoding Models [01] Classify [02] Extract [03] Summarize
- Camera
- Smooth pan right and center lock.
- Motion
- Pixelated font scale-in with staggered blue pixel logo assembly.
Problem Agitation
Traditional LLM vs Scaledown CDM
“Both LLMs and CDMs read your context in one pass. Traditional LLMs slowly write the answer, one token at a time. Scaledown CDMs know the answer is already there, so we point to it instead.”
- On screen
- TRADITIONAL LLM PREFILL 1 STEP DECODE STEPS 20 TIME 4.00s 100.0% DONE SCALEDOWN CDM PREFILL 1 STEP DECODE STEPS 3 TIME 0.20s 100.0% DONE Supplier: "Halcyon Supply" Date: "2026-10-05" Currency: "USD"
- Camera
- Split-screen side-by-side comparison with static lock.
- Motion
- Dual progressive timers and vector bezier pointer lines mapping source context directly into target schema.
Feature Teaser
Built to be Consistent
“Built to be consistent. Classify inputs, extract what matters, and summarize long context.”
- On screen
- Built to be Consistent Classify Extract Summarize LABELS: BILLING | BUG | FEATURE REQUEST Nothing Made up
- Camera
- Left-aligned fixed camera with dynamic modal card switching.
- Motion
- Vertical tab highlight cycling paired with animated JSON terminal output.
Feature Teaser
Multimodal & 1M Context Window
“Multimodal and a 1 million input token context window with text and images supported.”
- On screen
- 1M CONTEXT WINDOW TEXT AND IMAGES
- Camera
- Slow zoom out across coordinate grid matrix.
- Motion
- Icon burst into a massive grid of blue and white memory blocks.
Feature Teaser
Speed and Cost Benchmarks
“Up to 200 times faster and 467 times cheaper.”
- On screen
- 200x FASTER 467x CHEAPER THAN FRONTIER LLM APIS
- Camera
- Locked center framing on dark background.
- Motion
- High-speed mechanical odometer number rolling.
Feature Teaser
Ecosystem Integrations
“Now available on OpenRouter, Vercel, LiteLLM, and more.”
- On screen
- scaledown OpenRouter Vercel LiteLLM LangChain TrustedRouter Arthur RouterPlus
- Camera
- Subtle zoom out on logo cluster.
- Motion
- Central glowing starburst icon with partner logo alpha fade-in.
Call to Action
Claim Free Tokens
“Get 50 million tokens for free at scaledown.ai.”
- On screen
- 50M FREE TOKENS AT SIGNUP www.scaledown.ai
- Camera
- Static terminal framing.
- Motion
- Typing prompt cursor with floating background grid particles.
Motion design primitives
Synthesizable in Remotion · key components of the tech-benchmark-grid-showcase template.
OdometerCounter
Digits spin rapidly through vertical blur rolls before snapping firmly onto final metric values.
+ Code construction recipe
Map spring-interpolated progress to translateY on a vertical column of stacked numeric glyphs 0-9 with overflow hidden.
ContextPointerArcs
Curved SVG lines originate from source document text spans and lock onto target schema slots with expanding anchor dots.
+ Code construction recipe
Animate SVG strokeDashoffset from path length to 0 via interpolate using spring physics, triggering destination opacity fill on complete.
GridPixelTransition
Monochrome and blue 2D grid squares toggle color and opacity pseudo-randomly to construct iconography.
+ Code construction recipe
Generate a coordinate array rendered as absolute divs, triggering opacity/color flips driven by a seeded pseudo-random delay matrix.
Style DNA & aesthetic system
Visual aesthetic
Typography
Motion
Special effects
Pacing & rhythm
Conceptual story rhythm
- 1
The Agitation
Purpose. Highlight standard generative LLM latency waste on structured data.
Execution. Split race showing traditional model lagging behind instant CDM pointer mapping.
- 2
The Value Proof
Purpose. Validate operational claims with concrete metric multipliers.
Execution. High-contrast dark-mode ticker landing forcefully on 200x faster and 467x cheaper.
- 3
Frictionless Onboarding
Purpose. Demonstrate wide drop-in compatibility and generous trial incentives.
Execution. Clean partner logos followed by minimal terminal text display showing URL and free credit tier.
Remix in Animatiq Studio
Master remix prompt · agent-ready
Sample remix
Objective
Launch a specialized database indexing engine that replaces slow vector queries with direct pointer graphs.How the recipe adapts
Replace invoice extraction with vector scan comparison vs direct graph pointer traversal, retaining side-by-side split timers and odometer speed multipliers.Remix blueprint · tech-benchmark-grid-showcase
Scene durations (8 scenes, 46s)
Key Remotion components
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