EverMind · Launch Video Breakdown: Hook, Pacing & Motion Design
Long-term agent memory
Scene-by-scene timeline & spoken transcript
The Hook
The Harness of Harnesses
“Raven brings Claude Code, Codex, and its own agents together as one team.”
- On screen
- The Harness of Harnesses Built for RSI 01 The Harness of Harnesses · works across agents
- Camera
- Static center title framing transition to expanding orbital agent map.
- Motion
- Central node ping with radial node connections expanding smoothly.
Product Reveal
Prompt to Multi-Agent Task Graph
“Ask it to compare three coding products in an interactive dashboard. Raven builds a task graph and runs independent branches in parallel. Claims are cited and checked.”
- On screen
- Compare three AI coding products and deliver a cited, interactive dashboard. Task Graph Scope the brief Market analysis Technical research Hands-on tests Result editing Delivery QA
- Camera
- Smooth camera zoom into chat input, expanding into UI graph layout.
- Motion
- Node dependency connection draw and parallel progress pulses.
Feature Teaser
Self-Modifying Playbooks & Curator
“The workflow becomes a reusable playbook. Raven can revise its playbooks, prompts, policies, and code. Curator validates each change before adopting it.”
- On screen
- Playbooks compare-products 02 Built for RSI Curator: validate before adoption. Write -> Check -> Assemble -> Preflight -> Install
- Camera
- Sequential slide transitions through playbook list, code diff editor, and pipeline diagram.
- Motion
- Syntax-highlighted diff insertion with pipeline step badge sequencing.
Feature Teaser
Model-Tuned Benchmarks & Self-Generated Launch
“That's Raven, the Harness of Harnesses. Built for RSI. Our benchmarks compare harnesses on the same base model. Raven made its own launch materials: a sixteen-page deck, posters, and README.”
- On screen
- 03 A harness per task, tuned to the model · best results 0.963 Multi-Agent Orchestration 76.5% DeepResearch Mixed 91.0% SWE-bench Verified 80.2 PresentBench Raven made its own launch materials.
- Camera
- Split multi-card benchmark zoom followed by isometric marketing collateral reveal.
- Motion
- Metric counter animations and smooth floating card layouts.
Feature Teaser
Autonomous Research, Games & Design
“In a separate nanochat experiment, it completed 172 training runs across seven rounds, reducing validation bits per byte by a relative 5.8 percent under the same training budget. It built THRESHOLD, a complete Godot game, from a human brief. And Angry Raven, a playable browser physics game. Raven also creates presentations, posters, and interactive designs.”
- On screen
- A sustained research experiment, by Raven. 172 training runs | 7 rounds | -5.8% val_bpb THRESHOLD Godot game Angry Raven Browser physics game Raven RSI
- Camera
- Fast-paced showcase switching between data telemetry, gameplay captures, and poster layouts.
- Motion
- Screen recording embeds with subtle floating drop shadows and kinetic typography.
Call to Action
Open Source CLI & EverMe Cloud
“Now it's your turn. Raven is open source. Install and get started with just one command. Raven Cloud comes to EverMe in October. Find Raven on GitHub, or sign up for EverMe. This is Raven, the harness of harnesses, built for RSI.”
- On screen
- curl -fsSL https://raven.overmind.ai/install.sh | bash Raven x EverMe CLOUD · EXPECTED IN OCTOBER github.com/EverMind-AI/Raven everme.evermind.ai/sign-in EverMind
- Camera
- Terminal window focus, transitioning to dual branding cards and final logo resolve.
- Motion
- Terminal typing emulation, card opacity fades, and particle logo convergence.
Motion design primitives
Synthesizable in Remotion · key components of the multi-agent-orchestrator-showcase template.
OrbitalAgentRing
Central icon surrounded by an elliptical orbit with agent chips positioned radially along the path.
+ Code construction recipe
Use useCurrentFrame and interpolate to rotate child agent nodes along parametric SVG ellipse coordinates.
DirectedGraphFlow
Branching task tree with dynamic connector lines and staggered execution status badges.
+ Code construction recipe
Render SVG paths with strokeDashoffset animated via spring(), triggering sequential card status updates.
MetricStatCard
Card displaying high-precision benchmark score alongside baseline comparison rankings.
+ Code construction recipe
Interpolate float score from zero to final value with format specifier while sliding up rank bars.
Style DNA & aesthetic system
Visual aesthetic
Typography
Motion
Special effects
Pacing & rhythm
Conceptual story rhythm
- 1
Thesis & Architecture
Purpose. Define the meta-harness category and visualize multi-agent orchestration.
Execution. Title hero to expanding multi-agent orbit graphic.
- 2
Execution Graph & Verification
Purpose. Demonstrate practical workflow execution, concurrency, and validation.
Execution. Prompt bar expanding into parallel task graph and cited dashboard.
- 3
RSI Self-Modification
Purpose. Explain recursive self-improvement and Curator safety rails.
Execution. Markdown playbook editor, policy tree, and horizontal pipeline flow.
- 4
Proof & Artifacts
Purpose. Back up technical claims with benchmark stats, autonomous models, and game builds.
Execution. Quad benchmark cards followed by rapid reel of generated artifacts.
- 5
Actionable Access
Purpose. Provide instant dev adoption command and cloud waitlist CTA.
Execution. Terminal install command, dual GitHub/EverMe card, and logo resolve.
Remix in Animatiq Studio
Master remix prompt · agent-ready
Sample remix
Objective
Launch an autonomous AI DevOps engine that monitors, patches, and stress-tests cloud infrastructure.How the recipe adapts
The orbital ring maps AWS, GCP, and Kubernetes nodes; the task graph executes incident triage and auto-remediation; benchmark cards compare MTTR metrics against standard incident tooling.Remix blueprint · multi-agent-orchestrator-showcase
Scene durations (8 scenes, 110s)
Key Remotion components
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