Create and render a 15-second motion graphics video introd…

提示詞

Create and render a 15-second motion graphics video introducing TanStack AI. Make it feel like a premium            
  developer-tool launch film produced by Studio1: fast, precise, visually surprising, and polished enough to open a   
  keynote or lead a social campaign.                                                                                  
                                                                                                                      
  Use the TanStack AI feature details below as the source of truth. Studio1 is presenting the film; do not imply      
  Studio1 built TanStack AI.                                                                                          
                                                                                                                      
  Format and deliverables                                                                                             
  - 1920×1080, 30 fps, exactly 15 seconds; keep important content within a 9:16-safe central area.                    
  - Deliver the rendered MP4 and the editable project/source. Use Remotion or another code-based motion graphics      
  workflow if available.                                                                                              
  - Use real, editable typography and vector-style graphics. Do not rely on AI-generated text inside images.          
  - Add an original electronic sound design: a restrained opening pulse, tightly synchronized transition hits, rising 
  - Add an original electronic sound design: a restrained opening pulse, tightly synchronized transition hits, rising 
  momentum, and a satisfying final resolve. The story must also work muted.                                           
                                                                                                                      
  Visual direction                                                                                                    
  Dark graphite canvas; luminous gradients and controlled flashes inspired by TanStack’s identity. Crisp typography,  
  kinetic code, layered interface fragments, streaming data, branching paths, and smooth camera moves with convincing 
  depth. High contrast and immaculate spacing. Every transition should visually demonstrate a feature, rather than    
  simply replace one title card with another. Keep all on-screen wording brief and legible. Avoid generic stock       
  footage, spinning logos, fake dashboards, excessive glitch effects, and tiny code nobody can read.                  
                                                                                                                      
  Exact 15-second sequence                                                                                            
  - 0:00–0:02 — Hook: A single prompt cursor blinks. It sends one signal that expands into a network of               
  possibilities. On-screen: “What can one AI API become?”                                                             
  - 0:02–0:04 — Core and providers: The signal resolves into chat(); provider nodes connect and swap rapidly without  
  breaking the central flow. On-screen: “chat() · 24 providers”                                                       
  - 0:04–0:06.5 — Multimodal: One continuous stream transforms into text, waveform, image frame, and video timeline.  
  On-screen: “One pattern. Every modality.”                                                                           
  - 0:06.5–0:09 — Agents and tools: The stream branches into sandboxed agent runs, then reaches external tools        
  through MCP. Show distinct runs progressing in parallel. On-screen: “Agents · Sandboxes · MCP”                      
  - 0:09–0:11.5 — Reliability: An interrupted stream freezes, reconnects, and resumes from the same point; a clean    
  type-check confirmation snaps into place. On-screen: “Persistent. Durable. Type-safe.”                              
  - 0:11.5–0:15 — Reveal: All paths converge into a bold final composition: “TanStack AI” followed by “Build what’s   
  next.” Add a small “A Studio1 film” credit, visually subordinate to TanStack AI. Hold the final frame long enough   
  to read it.                                                                                                         
                                                                                                                      
  Accuracy guardrails                                                                                                 
  The supplied article says TanStack AI is in the release candidate phase, supports 24 providers, uses AG-UI, and     
  offers composable chat(), media generation, sandbox and agent-harness primitives, MCP, type safety, persistence,    
  and resumable streams. Do not call it a stable v1 release. Do not present planned orchestration features as already 
  shipped.                                                                                                            
                                                                                                                      
  Make the video, inspect the rendered result, and fix any clipped text, weak transitions, mistimed beats, or         
  unreadable frames before delivering it. The goal is a memorable showreel, not a slideshow of feature bullets.

中文翻譯

創建並渲染一支 15 秒的動態圖形視頻，介紹 TanStack AI。讓它感覺像 Studio1 製作的高端開發者工具發佈影片：快速、精準、在視覺上出人意料，並且足夠精緻，能用來爲一場主題演講開場或領銜一場社交媒體宣傳。

以以下的 TanStack AI 功能細節作爲事實依據。Studio1 是這支影片的呈現方；不要暗示 TanStack AI 由 Studio1 打造。

格式與交付物
- 1920×1080，30 fps，嚴格 15 秒；將重要內容保持在 9:16 安全中央區域內。
- 交付渲染好的 MP4 以及可編輯的工程/源文件。如可用，使用 Remotion 或其他基於代碼的動態圖形工作流。
- 使用真實、可編輯的字體排版和矢量風格圖形。不要依賴圖像內由 AI 生成的文字。
- 添加原創電子音效設計：剋制的開場脈衝、與轉場緊密同步的擊打、逐步上升的推進感，以及令人滿足的最終收束。故事在靜音狀態下也必須成立。

視覺方向

深石墨色畫布；受 TanStack 品牌識別啓發的發光漸變與可控閃光。清晰銳利的字體排版、動態的代碼、層疊的界面碎片、流式數據、分叉路徑，以及具有可信縱深感的平滑鏡頭運動。高對比度與無可挑剔的間距。每個轉場都應在視覺上展示一項功能，而不是簡單地把一張標題卡換成另一張。所有屏幕上的文字保持簡短易讀。避免通用模板素材、旋轉的標誌、虛假儀表盤、過度故障效果，以及沒人能看清的微小代碼。

精確的 15 秒序列

- 0:00–0:02 — 鉤子：一個提示詞光標閃爍。它發出一個信號，信號擴展成一張充滿可能性的網絡。屏幕上：“What can one AI API become?”
- 0:02–0:04 — 核心與提供商：信號歸結爲 chat()；提供商節點快速連接與切換，而不打斷中央流程。屏幕上：“chat() · 24 providers”
- 0:04–0:06.5 — 多模態：一條連續流轉變爲文本、波形、圖像幀和視頻時間軸。屏幕上：“One pattern. Every modality.”
- 0:06.5–0:09 — 智能體與工具：流分叉進入沙盒化的智能體運行，然後通過 MCP 觸達外部工具。展示多個不同的運行並行推進。屏幕上：“Agents · Sandboxes · MCP”
- 0:09–0:11.5 — 可靠性：被中斷的流凍結、重連，並從同一點恢復；一個乾淨的類型檢查確認利落地歸位。屏幕上：“Persistent. Durable. Type-safe.”
- 0:11.5–0:15 — 揭曉：所有路徑匯聚成一個有力的最終構圖：“TanStack AI”，隨後是“Build what’s next.”。添加一行小字“A Studio1 film”署名，在視覺上從屬於 TanStack AI。最後一個畫面保持足夠長的時間以便閱讀。

準確性護欄

所提供的文章指出，TanStack AI 處於發佈候選階段，支持 24 個提供商，使用 AG-UI，並提供可組合的 chat()、媒體生成、沙盒與 agent-harness 原語、MCP、類型安全、持久化和可恢復的流。不要稱其爲穩定的 v1 版本。不要把計劃中的編排功能呈現爲已經發佈。

製作視頻，檢查渲染結果，並在交付前修復任何被裁切的文字、乏力的轉場、節拍錯位或無法看清的畫面。目標是令人難忘的作品集短片，而不是功能要點的幻燈片。

溯源

原作者

HowDevelop

發佈日期

2026-09-26（由推文 ID 反解）

原始出處

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收錄來源

yihui-dev/awesome-opus5-5-videos · howdevelop-733090 · MIT