
Deep Research upgrade: creates not only the report, but also a live webpage and a podcast — powered by Qwen3-Coder, Qwen-Image, and Qwen3-TTS.
The Hook
“(No spoken dialogue — Pizzicato synths and sub-bass introduce a modern, futuristic feel. A riser occurs at 0:04.)”
Product Reveal
“Qwenchat Deep Research conducts comprehensive studies, collaborates, scours the web, gathers data, and generates reports.”
Feature Teaser
“The research can be transformed into dynamic, interactive web pages and multi-speaker podcasts.”
Call to Action
“So, the US SaaS market is projected to reach over 400 billion by 2030. That's a significant growth. Yes, and it's interesting to see how different sources measure that growth. Some focus on revenue, others on market capitalization. It's important to reconcile those discrepancies for a clear picture. Absolutely. And the report highlights the importance of understanding the nuances of these projections. It's not just about the numbers, but the underlying methodologies.”
Synthesizable in Remotion · key components of the ai-product-launch-ui-flow template.
Text appears character by character, simulating real-time typing in a chat or input field. This is often accompanied by a blinking cursor.
Use Remotion's `Sequence` and `interpolate` to control the `opacity` and `width` of a text layer based on `frame`. A `cursor` component can be animated with `spring` for a blinking effect.
UI cards or sections smoothly expand or slide into view, often revealing more detailed content or options. This creates a sense of progressive disclosure.
Animate `height` and `opacity` using `spring` or `interpolate` with an `easeOutCubic` curve. `overflow: hidden` should be applied to the container to clip content during expansion.
Bar charts or other data visualizations animate to show growth over time, with bars extending upwards and values incrementing dynamically.
For bar charts, animate the `height` of SVG rectangles using `interpolate` from 0 to their final value. Text values can be animated using `useCurrentFrame` and `interpolate` to count up to the final number.
Purpose. Introduce the core problem Qwen solves and its primary function.
Execution. Title card followed by a clean UI shot demonstrating the initial prompt for deep research.
Purpose. Showcase the AI's ability to conduct thorough research, gather data, and synthesize information.
Execution. Rapid-fire UI interactions showing research planning, data collection, and code generation for analysis.
Purpose. Illustrate how the research can be transformed into various dynamic outputs.
Execution. Seamless transitions from a research report to a live, interactive webpage and then to a multi-speaker podcast generation.
Purpose. Highlight the practical utility and the AI's ability to handle complex data nuances through conversation.
Execution. A conversational segment discussing market data discrepancies, reinforcing the AI's analytical depth, concluding with the title card.
Objective
Launch a new AI-powered interior design tool that generates mood boards, 3D room layouts, and shopping lists from a text prompt.How the recipe adapts
The video would open with a title card for 'RoomGPT: AI Interior Designer'. The UI would show a user typing 'Design a minimalist living room with natural light' using UITypingReveal. ExpandingCardReveal would then show different mood board options and 3D layout variations. DataVizGrowth could illustrate the number of design iterations or cost savings. The conversational segment would feature two designers discussing the AI's ability to adapt to client feedback and budget constraints.Scene durations (4 scenes, 169.3s)
Key Remotion components
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