Coworker · Launch Video Breakdown: Hook, Pacing & Motion Design
Right context, right model, anywhere you work.
Scene-by-scene timeline & spoken transcript
The Hook
Burning Cash on Token Bills
“If I ask AI for one simple update: Give me the latest on Project Alpha...”
- On screen
- Use @ for agents and people | Build Chat | Optimized | Give me the latest on Project Alpha
- Camera
- Frontal medium close-up cutting to keyboard macro, then back to wide with physical dollar bills burning and falling.
- Motion
- Floating glass UI modal over practical video, followed by floating burning dollar bill physics particles.
Problem Agitation
The Context Retrieval Tax
“I'm Alex, CEO and co-founder of Coworker.ai. AI companies' revenues are exploding, and you know where most of that comes from: your token bill. Ask about a customer or a project, and AI is re-reading your whole company's context from scratch. Slack, email, CRM, Jira, docs... More than half of that spend isn't even in the answer, but the search for it. That's not a bug, that's actually the business model. And asking the people who sell you tokens to shrink your bill is kind of like asking an oil company to worry about your gas mileage.”
- On screen
- Alex Calder CEO and co-founder of Coworker.ai | 2023 2025 $200k $450k $800k $1m | Your token bill | What changed with the Acme account this week? | Sales Forecast Q3.xlsx | Product roadmap | Q3 Planning Doc | Financials_Q2.pdf | AI is scanning | Slack Gmail Salesforce Teams Jira Notion | 50%+ of enterprise token spend is just context retrieval
- Camera
- Alternating medium and close-up interview framing with dynamic digital graphics tracking alongside the speaker.
- Motion
- Animated line charts, kinetic document card stacks, cascading integration toggle badges, and animated kinetic typography overlays.
Product Reveal
Introducing OM2
“So we built Organizational Memory, or OM2 for short. OM2 is an autonomous context graph that already knows about your company, so you're not paying AI every single time to relearn it.”
- On screen
- Organizational Memory | Org Me 2 | OM2 | OM2 The autonomous context graph | Nova Studio | Sarah Mitchell Product Director | Nova Website Redesign | Daniel Parker | Sophie Bennett | Ready to use | Projects | Customers | People | Problems
- Camera
- Cut from live-action studio speaker to a minimalist abstract 2D/3D camera orbit over a glowing spherical graph space.
- Motion
- Morphing pill badges transitioning into an expansive glowing orb with expanding orbital nodes, connector lines, and profile cards.
Feature Teaser
How OM2 Operates Across Tools and Models
“Here's how it works: connect your tools through a single MCP, and OM2 learns the shape of your business—your customers, your projects, the people behind them, and the problems that they're solving. It creates an evergreen context graph assembled by specialized LLMs and ML working together to deliver extremely nuanced, permissioned, fast, and accurate retrieval. And it keeps learning on the job. It's constantly synthesizing new info. As you work, it's even converting messy tool chains into deterministic queries and then reusing them the next time. You can plug it into Claude, ChatGPT, or any open model hosted securely in the US on Coworker. Then, do your work. Now you're pulling precisely what you need, and nothing more.”
- On screen
- Here's how it works | Single MCP | OM2 | Website Redesign | Requirements.pdf | Nova Studio | Sarah Mitchell | In Progress | LLM ML | Summarize client feedback | Brand_Guidelines.fig | Nova Workspace | Marketing Team | Sprint 12 Roadmap | LLM with MCP Searching Jira... Searching Slack... Searching Github... 1-2 min | OM2 Build a QBR deck for Project Nova. Working steps > 4-5 sec saving 70% vs Opus | Opus 5 High cost | GPT Terra High cost | GLM 5.2 Lower cost | Kimi 3 Lower cost | Gemini 3.6 Lower cost | connect -> OM2 learns -> any model no lock-in
- Camera
- Smooth graphical transitions between multi-tool radial layouts, interconnected node clusters, side-by-side comparative UI screens, and model routing lists.
- Motion
- Pulsing concentric wave rings, spring-interpolated node expansion, split-screen live task simulation, and staggered list cascades.
Feature Teaser
Empirical Benchmark Results
“Same model, same set of 100 tasks, we put OM2 to the test. With OM2, tasks used 9x less tokens and were 64% faster. Paired with Coworker's optimized model routing, those tasks became 51 times cheaper. And what's more, OM2 beat off-the-shelf MCPs on response quality 83% of the time.”
- On screen
- same model | 100 tasks | 9x less tokens | 64% faster | 51x cheaper | OM2 beat off-the-shelf MCPs 83% of the time
- Camera
- Full-bleed kinetic metric cards zooming forward, transitioning back to the founder talking head.
- Motion
- Number counters, rounded stat cards snapping on spring physics, and kinetic text framing surrounding the live subject.
Call to Action
Own Your Context
“Unlike legacy enterprise knowledge graphs which take a couple of months to integrate, OM2 starts learning on its own the moment you connect it. Stop paying rent on your context. Start owning it. Head on over to coworker.ai, it's available today.”
- On screen
- 2 months -> instantly | Stop paying rent on your context | Start owning it | Coworker.ai | Available Today
- Camera
- Founder close-up delivered straight to lens, ending on an abstract minimalist sphere canvas resolving the logo and CTA.
- Motion
- Text highlight reveal blocks, glowing radial horizon expansion, and floating node settlement around the final CTA.
Motion design primitives
Synthesizable in Remotion · key components of the executive-context-architecture template.
KineticPromptInput
Frosted glass capsule floating over live video with animated typing text, badge buttons, and subtle purple edge glow.
+ Code construction recipe
Wrap input in AbsoluteFill with backdropFilter blur, spring scale-in from frame 0 to 15, and use interpolate for text character slice based on frame.
ContextGraphNodeNetwork
Dynamic interconnected circular nodes and metadata cards drifting around a central luminescent purple sphere with dashed connecting vectors.
+ Code construction recipe
Render SVG lines between node coordinate arrays calculated via trigonometry, driving position offsets with noise2D and spring-loaded node reveal cards.
SplitLatencyBenchmarkComparison
Dual card comparative container contrasting sequential loader states against rapid instant response completion times.
+ Code construction recipe
Layout two flex-1 containers; drive left card through staggered delayed pending states, and drive right card with immediate spring-in checkmarks and badge updates at frame 30.
StatCardSprintReveal
Large rounded metric panels popping onto screen with high-contrast typography and animated numerical increments.
+ Code construction recipe
Use spring animation with damping: 14, mass: 0.8 for card scale and opacity; map frame progress to interpolate value counts for multipliers and percentages.
Style DNA & aesthetic system
Visual aesthetic
Typography
Motion
Special effects
Pacing & rhythm
Conceptual story rhythm
- 1
Provocative Dilemma
Purpose. Establish immediate financial pain point associated with repeated LLM context queries.
Execution. Founder address interrupted by falling burning money and floating AI prompt prompts.
- 2
Systemic Diagnosis
Purpose. Dissect why existing token retrieval models intentionally drain enterprise budgets.
Execution. Dynamic UI overlays displaying scanning animations, rising expenditure curves, and tool sprawl badges.
- 3
Architectural Solution
Purpose. Introduce OM2 as an evergreen, persistent contextual knowledge graph.
Execution. Seamless shift from studio to elegant 2D/3D graphical sphere illustrating autonomous data synthesis.
- 4
Empirical Verification
Purpose. Validate product efficacy with hard comparative benchmarks.
Execution. High-contrast metric cards displaying speed, token reduction, and cost benefits.
- 5
Decisive Call to Action
Purpose. Prompt immediate enterprise adoption with high agency phrasing.
Execution. Direct founder sign-off transitioning to a pristine brand horizon card.
Remix in Animatiq Studio
Master remix prompt · agent-ready
Sample remix
Objective
Launch video for an AI Codebase Memory tool targeting enterprise engineering leaders.How the recipe adapts
Replace enterprise SaaS tools with IDEs, GitHub PRs, and CI pipelines; replace token spend charts with developer onboarding latency metrics, using the same glowing graph and metric card primitives.Remix blueprint · executive-context-architecture
Scene durations (6 scenes, 123s)
Key Remotion components
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