Shohei Ohtaki
Shohei Ohtaki is an individual developer and creator, not a company. He creates open-source tools and educational resources that give people a shared vocabulary for directing AI—especially Motion Prompt, a browsable library of motion, camera, UI, web-effect and photography terms with samples, specifications and reference implementations.
At a Glance
- Creative directors and motion designers
- Web/UI designers and front-end developers
- Video and photography creators
- People using Claude Code, Codex or other coding agents
- +1 more
AI Tools by Shohei Ohtaki
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Motion Prompt
Motion Prompt Library for AI Agents
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Latest News
Motion Prompt added the motion2 pack with 24 additional motion-graphics moves (#121–144), updating the project to six packs and 144 names.
The project added UI, landing-page and photo packs, an examples page and contribution templates.
Motion Prompt published a new headline: “For the creative directors who direct AI.”
The examples page was updated to show every post embedded on load in a masonry layout.
Products & Services
An MIT-licensed open-source library and web gallery of 144 named techniques across six packs: motion-graphics moves, camera moves and transitions, UI components, landing-page/web effects, photo looks/lighting/styles, and motion-graphics moves part 2. Each entry includes a moving sample, one-line meaning, an example AI request, a specification and reference code. It can also be installed as an agent skill for Claude Code, Codex and other compatible coding agents.
An MIT-licensed repository containing prompts and tooling for making 24-name explainer-animation sets for any field: three looping videos with eight animated cards each plus a one-page cheat sheet. It includes prompts, HTML/canvas templates, a Playwright/ffmpeg renderer, checks, and camera-moves and motion-graphics examples.
Market Position
Motion Prompt positions itself as a practical, open-source vocabulary layer for AI-directed creative work rather than a conventional animation editor or generation model: it combines named concepts, live samples, specs, implementation code and an agent workflow. The README acknowledges Lucian UX/UI Prompt as an inspiration for pairing a live-example gallery with an agent skill. Its differentiator is the breadth of six curated packs plus a deterministic, port-oriented implementation and tooling for making derivative libraries in other fields and languages.
Leadership
Founders
Shohei Ohtaki
Solo creator of Motion Prompt and related open-source projects. His GitHub profile describes him as CEO of an IT school with more than 30,000 students, a ramen-shop owner, and someone working at the intersection of AI, education and management. The Daytra company profile identifies him as its representative director/president and says he moved from a humanities sales role into programming before starting the #30DAYSトライアル free programming study project that became the basis of Daytra.
Founding Story
Ohtaki says Motion Prompt grew out of short videos that put names to motion-graphics and camera moves. Comments showed him that people often had the visual idea but did not know the term for the movement, so he created a browsable library of the shared language needed to communicate effectively with AI. The broader vision is to help creative directors and practitioners in many fields work with AI by learning and reusing precise terms.
Business Model
Revenue Model
Motion Prompt and Motion Explainer are distributed as free, MIT-licensed open-source projects. The published materials describe installation and usage but do not describe a paid subscription, API charge or commercial pricing model.
Target Markets
- Creative directors and motion designers
- Web/UI designers and front-end developers
- Video and photography creators
- People using Claude Code, Codex or other coding agents
- Subject-matter experts making educational explainers for their field
- Creative directors directing AI-generated video, motion graphics or web experiences
- Designers and developers specifying UI and landing-page interactions precisely
- Video creators choosing camera moves, transitions and motion-graphics techniques
- Photographers and image creators describing looks, lighting and styles to AI
- Coding-agent users who want an AI assistant to retrieve and implement selected motion references
- Experts creating a shared vocabulary and explainer library for their own professional field or language