Build a Photo Enhancer with Claude Code

Build a Photo Enhancer web app. People search for "photo enhancer" about 799,000 times a month, plus related searches like "enhance photo online", "ai photo editor", "improve photo quality". The goal is a tool that ranks for those searches and makes money.

What it should do:
Build an AI photo enhancer web app. Create a homepage with a large upload area saying 'Drop your photo to enhance instantly'. When users upload a photo, show the original image with a prominent 'Enhance Now' button. Display the enhanced result in a split-screen view with before/after slider. Add enhancement controls: brightness, contrast, saturation, sharpness sliders. Include one-click presets like 'Portrait', 'Landscape', 'Low Light'. Show processing progress and before/after file size comparison. Add download button with quality options. Use a vibrant design with orange and teal accents. Focus on the instant enhancement flow first.

How to build it:
1. Read this folder first. If it is empty, set up Next.js (App Router, TypeScript, Tailwind). Write a short PLAN.md with the pages, components, any library or API you need, and what you are leaving for later. Then build.
2. Put the tool itself on the homepage so a visitor can use it within seconds, with no sign-up. Do the processing in the browser where you can, so it is fast and cheap to run. Look at how Topaz Photo AI, Fotor, Luminar AI do it and make ours simpler and faster.
3. Make it rank. Use "photo enhancer" in the title tag, H1 and meta description. Under the tool, add a short how-to and an FAQ with FAQPage schema, and add a sitemap and robots.txt. Scaffold these programmatic pages from one template and a data file: /enhance-[photo-type]-photos, /photo-enhancer-for-[platform], /improve-[lighting-condition]-photos.
4. Monetisation: Freemium: 10 free enhancements/day, $9/mo unlimited + high resolution. Add a pricing page and the free usage limit, and leave Stripe checkout as a clearly marked stub with the environment variables it needs.
5. Run it locally and test the main flow end to end, including edge cases like empty input and very large files. Fix what breaks, then finish with a summary of what works, what is stubbed and how to deploy it to Vercel.

Paste it into Claude Code in an empty folder. It plans first, so read PLAN.md and steer before it starts building.