Can I vibecode ThumblifyAI?

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KINDA

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A basic AI thumbnail generator can be built quickly using existing image models, but recreating ThumblifyAI requires much more than connecting an image API. The product's advantage comes from specialized thumbnail-focused system prompts, AI workflows, creator-focused features, thumbnail inspiration, style matching, AI customization features, and continuous iteration around generating clickable YouTube thumbnails.

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The Build Prompt

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Build me a personal YouTube thumbnail generator inspired by ThumblifyAI. Requirements:

- Node + Express, one localhost page; no accounts, no telemetry, keys in .env.
- Input: video title, a face/subject photo upload, and a style picker with 5
  presets (bold MrBeast-style, minimal tech, tutorial, vlog, gaming).
- Generation: send the title + style prompt to an image model API (key in
  .env; support OpenAI Images or Replicate, one flag to choose). Composite
  the uploaded face onto the generated background with sharp: auto-cutout
  via an rembg CLI call, drop shadow, rim light.
- Text layer: the title (or a punchier 3-5 word hook the LLM suggests)
  rendered with sharp over the composite, thick outline, 2 font choices.
- Output 1280x720 PNG under 2MB, plus a 3-variant grid so I can pick; save
  every result to thumbnails/ with the prompt used, so styles are repeatable.
- A history page of past generations with one-click re-run.
- Out of scope: accounts, teams, A/B testing against YouTube analytics, and
  bulk generation. This is one thumbnail at a time for my own channel.
- README: which API keys I need, rembg install, and rough per-image cost.

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