Creative Lead (AI) — Technical Assessment

Time limit: 2–3 hours max.

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Challenge

You are given a small set of base assets for a fictional indie game — Hollow Crown by Twin Hearth Studios — in /assets/sample-game/. Open STYLEGUIDE.md there for the full brand spec.

Build an AI-powered workflow that takes those base assets and automatically generates a varied set of marketing assets across multiple formats, staying on-brand.

Requirements

1. Input: the base assets in /assets/sample-game/ (logo, key art, characters, icons, pattern) + the STYLEGUIDE.md (palette, tone, do's and don'ts). You may upscale, restyle, or re-illustrate them with AI — the assets are intentionally simple so you have room to be creative.

2. Output: at least 20 generated assets in /output/, covering at minimum:

   • 1:1 (Instagram feed)
   • 9:16 (Stories / TikTok / Reels)
   • 16:9 (YouTube thumbnail / banner ad)
   • A wildcard format of your choice (animated, carousel, gif, short video, etc.)

3. The workflow must be reproducible. Someone else should be able to clone the repo, run your script/workflow, and regenerate the assets. No "I made these by hand in Photoshop".

Tooling

Use whatever you want — and combine freely:

• Image gen: Midjourney, DALL-E, Stable Diffusion, ComfyUI, Replicate, Nano Banana, Flux, etc.
• Orchestration: Python scripts, Node scripts, n8n, Claude Code, ComfyUI workflows, Make, Zapier.
• Editing/composition: Photoshop scripting, Figma API, Canva API, Pillow, Sharp, etc.

Out of scope

Brand consistency at studio level, A/B testing infra, publishing automation.

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Mandatory: PROCESS.md

Include a file documenting:

1. The workflow: diagram or step-by-step of how an asset goes from base → final.
2. Tools used and why.
3. Prompts (image, text, system) you used. Paste them in.
4. How you would scale this to 50+ assets per game and to multiple games per week.
5. One failure case you ran into and how you handled it.

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Evaluation

Area	Weight
Reproducibility of the workflow (PROCESS.md + runnable code)	30%
Visual quality and variety of generated assets	25%
Creative use of AI tools (not just one-shot prompts)	20%
Scalability thinking (how this becomes a pipeline)	15%
Documentation clarity	10%

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How to submit

1. Fork this repo.
2. Create branch submission/<your-name>.
3. Commit your code/workflow + the generated assets in /output/.
4. Open a Pull Request to main of this repo.
5. In the PR include: time spent, how to run the workflow locally, trade-offs made.