AI Case Study Generator
A tool that transforms raw project notes, metrics, and testimonials into polished, structured case studies — perfect for agencies, freelancers, and B2B companies showcasing their work.
What it does
Case study generation is a text-transformation task — taking structured inputs and producing formatted narrative output. This is exactly what LLMs do best, and AI app builders handle the surrounding UI (forms, previews, exports) effortlessly. The metrics visualization adds slight complexity but is well within the capabilities of tools like Bolt and Lovable. A beginner can build a working version in a few hours. The main limitation is export quality — the PDF template may need manual polish for print-ready output.
Case study generation is a text-transformation task — taking structured inputs and producing formatted narrative output. This is exactly what LLMs do best, and AI app builders handle the surrounding UI (forms, previews, exports) effortlessly. The metrics visualization adds slight complexity but is well within the capabilities of tools like Bolt and Lovable. A beginner can build a working version in a few hours. The main limitation is export quality — the PDF template may need manual polish for print-ready output.
Build prompt
Build a case study generator web app with these features: 1) Input form where users provide: client name (optional/confidential), industry, project type, challenge description, solution description, results/metrics (text or numbers), testimonial quotes, and any images/screenshots. 2) AI generation engine using an LLM API to produce a polished case study with sections: Executive Summary, The Challenge, The Approach, The Solution, Results & Impact, Client Testimonial, and Key Takeaways. 3) Multiple output formats: long-form article, one-pager summary, and social media snippet (LinkedIn post style). 4) A metrics visualization component that auto-generates before/after charts from user-provided numbers. 5) Brand customization — users can add their logo, brand colors, and font to the exported case study. 6) Export to PDF, web page (shareable link), and Markdown. 7) A library view showing all generated case studies with search and filter. Use React + TypeScript, Tailwind CSS, Recharts for metrics viz, and an LLM API for generation. Include a demo case study on first load.
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