# AI use cases for Motionmaxxing (Tejashmakwana/motionmaxxing) Repo: [Tejashmakwana/motionmaxxing](https://github.com/Tejashmakwana/motionmaxxing) | Use cases: 3 | Page: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/ An agent skill that turns a brand website into a motion graphics film, with measured timing and scripted checks on the render. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Make a launch film from a brand website: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/brand-launch-film-from-website/ - Check an AI motion video against the mog gates: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/audit-ai-motion-video-against-gates/ - Build a typography-only brand sting: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/kinetic-type-brand-sting/ ## How to make a launch film from a brand website with Motionmaxxing Repo: [Tejashmakwana/motionmaxxing](https://github.com/Tejashmakwana/motionmaxxing) | Difficulty: Intermediate | Time: 1 hour 30 minutes | Basis: From the README Capture a brand from its site, pick one idea it could own, and render a checked motion film in plain HTML. **Who it is for:** A marketer or founder who needs a product launch or promo film and has the brand website but no motion designer on hand. **The problem:** AI-generated promo videos tend to be slide decks: corner labels, a left headline beside a card, and fades between every beat. **The outcome:** A rendered film with a storyboard, a final MP4, an index.html source, and a NOTE.md that quotes the gate numbers. ### Steps 1. Install the skill as a folder the agent can read, following the Install section of the README. (inferred, check the README) 2. Give the agent the brand website URL and a one-line brief for the film. 3. Review the idea and the storyboard the agent shows you before it builds. 4. Let the agent render the film, then read the gate results it writes into NOTE.md. 5. Fix any gate that fails and re-render, since failed gates are fixed rather than argued. ### Prompt to paste into your agent ```text Use the motionmaxxing skill from Tejashmakwana/motionmaxxing to make a launch film for . Show me the idea and storyboard before building, then render final.mp4 and NOTE.md. Verify that the gate results in NOTE.md match the script output. ``` ### Caveat The README says the skill is an early release and that voice and sound need an ElevenLabs key, so some films will be silent unless you add one. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/brand-launch-film-from-website/ ## How to check an AI motion video against the mog gates with Motionmaxxing Repo: [Tejashmakwana/motionmaxxing](https://github.com/Tejashmakwana/motionmaxxing) | Difficulty: Intermediate | Time: 1 hour | Basis: From the README Run the render checks and page-chrome lint on an AI-made video to see which tells it fails. **Who it is for:** A video editor or reviewer who has an AI-generated motion graphics clip and needs to know why it looks mid before reworking it. **The problem:** A generated video can look finished while still showing corner labels, dead frames, long end holds, or deck layouts, and nobody has measured it. **The outcome:** A list of gate results (G0 to G5) with the numbers behind each, plus the lint hits, so you know what to fix first. ### Steps 1. Copy the AI-made MP4 and its HTML source into a working folder. (inferred, check the README) 2. Run look.py on the MP4 to get the render results for G0, G2 and G3. (inferred, check the README) 3. Run lint.mjs on the HTML source to list page-chrome hits for G5. (inferred, check the README) 4. Open the contact sheet and judge G1 (proof readable) and G4 (one hero per frame) by eye. 5. Note each failed gate and the number behind it in a short report. ### Prompt to paste into your agent ```text Using the motionmaxxing skill from Tejashmakwana/motionmaxxing, run look.py and lint.mjs on . Report each gate G0 to G5 with its number and pass or fail, and say which two gates need a human look. Verify that every number in the report came from a script output. ``` ### Caveat The lint cannot see text inside an image or a canvas, and the README says it is a lead rather than a verdict. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/audit-ai-motion-video-against-gates/ ## How to build a typography-only brand sting with Motionmaxxing Repo: [Tejashmakwana/motionmaxxing](https://github.com/Tejashmakwana/motionmaxxing) | Difficulty: Intermediate | Time: 1 hour 15 minutes | Basis: From the README Turn a logo and one idea into a short kinetic-type sting with measured motion and no photos. **Who it is for:** A designer or small studio that needs a short brand intro or sting with no stock footage or photos of people. **The problem:** Brand stings often rely on photos or generic fades, and a loose prompt rarely produces a single idea carried through the motion. **The outcome:** A typography and vector sting with one carried idea, a logo fetched from the brand site, and a rendered MP4. ### Steps 1. Install the skill following the Install section of the README. (inferred, check the README) 2. Give the agent the brand name or site so it can fetch the logo and brand details. 3. Ask for a typography and vector sting built around one idea, since the skill works without photos of people. 4. Review the storyboard, then let the agent render and run the gates. 5. Check the final MP4 for the one-hero-per-frame rule and for any page chrome the lint reports. ### Prompt to paste into your agent ```text Use the motionmaxxing skill from Tejashmakwana/motionmaxxing to build a typography and vector brand sting for , with one central idea and no photos of people. Output final.mp4 and a NOTE.md. Verify that the lint reports no page chrome before you deliver. ``` ### Caveat The README says the skill is early and still getting sharper, so a first sting may need a second pass on the gates. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/tejashmakwana-motionmaxxing/kinetic-type-brand-sting/