
Turn a single task description into a complete, ready-to-run AI agent team with specialized roles, system prompts, models and parameters. Review/edit before running; export as JSON/CSV/cURL/Python/TypeScript/Go. Available on Swarms Cloud and API.
The Hook
“(No spoken dialogue — ambient UI clicks and typing sounds)”
Product Reveal
“(No spoken dialogue — ambient UI clicks and typing sounds)”
Feature Teaser
“(No spoken dialogue — ambient UI clicks and typing sounds)”
Feature Teaser
“(No spoken dialogue — ambient UI clicks and typing sounds)”
Call to Action
“(No spoken dialogue — ambient UI clicks and typing sounds)”
Synthesizable in Remotion · key components of the swarms-ui-walkthrough template.
Text appears character by character in an input field, simulating real-time typing, followed by a subtle cursor blink.
Use `interpolate` for character visibility based on `frame` and text length. Implement a blinking cursor with `spring` animation for opacity or a simple `loop` for `opacity: [0, 1]`.
UI sections expand and collapse smoothly, revealing or hiding detailed content such as system prompts and parameters.
Animate `height` and `opacity` properties using `spring` or `ease-in-out` interpolation. Ensure content within the expanding section also animates its visibility or position.
Specific lines or blocks of code within a terminal-like interface are highlighted with a subtle background color change or border, often accompanied by a tab switch.
Utilize `interpolate` for `backgroundColor` or `borderColor` changes. Combine with `Sequence` and `AbsoluteFill` for precise timing of highlights and tab transitions.
Purpose. Introduces the core functionality: defining a task for AI agent team generation.
Execution. Shows a user typing a task description, selecting model parameters, and initiating agent generation within the UI.
Purpose. Demonstrates the product's ability to automatically create specialized AI agents.
Execution. Displays the generated agents, their roles, system prompts, and associated costs, expanding to show details.
Purpose. Highlights the transparency and configurability of each generated agent.
Execution. Scrolls through individual agent details, emphasizing system prompts, parameters, and the ability to review and edit.
Purpose. Showcases the flexibility of integrating the generated agents into existing workflows.
Execution. Illustrates the various export options (JSON, CSV, cURL, Python, TypeScript, Go) and the ease of integration.
Objective
A new API gateway product that allows users to define custom routing rules and generate client SDKs in multiple languages.How the recipe adapts
The recipe adapts by showcasing the API gateway's dark-mode UI. The DynamicTypewriter primitive will be used for defining routing rules in an input field. The AccordionContentReveal will animate the expansion of detailed rule configurations and policy settings. CodeBlockHighlight will be applied to generated client SDKs in Python, Node.js, and Java, with smooth tab switching between them. The overall pacing will remain slow and instructional, guiding the user through rule creation, testing, and SDK generation, maintaining the original's focus on clear, functional demonstration.Scene durations (5 scenes, 74.5s)
Key Remotion components
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