How We Built a Viral Twitter Personality & Roast AI with Wordware

Explore the process of creating engaging Twitter-based AI applications using LLM orchestration.

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As part of our viral marketing strategy, we launched Twitter Roast AI, an AI app that showcases Wordware's capabilities. It went viral (8.1M users, $100K+ in revenue, and 400K+ new users on our platform).

Why It Worked

  • Entertaining output: People loved sharing their AI-generated roasts.

  • Built-in virality: We optimized for shareability with custom images + one-click sharing.

  • User experience: Prioritized the most engaging feature (roasts) at the top of the page.

  • Simple to use: simply input your twitter handle

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How We Built It on Wordware

  • Structured Generations: Instead of messy text, we used structured outputs (objects with defined fields) to feed clean data into the frontend.

  • Prompt Chains: Chained multiple prompts to get more nuanced, high-quality responses.

  • Fast Iteration: Wordware let us test multiple LLMs and prompt versions quickly without writing code.

Key LLM Takeaways

  • There's no “best” model. Instead test, compare, and optimize.

  • Structured generation is critical for passing AI data into real apps.

  • Prompt chaining + smart formatting delivers the most value.

Why It Matters

This project proved how fast, engaging tools can be built with zero engineering using Wordware’s LLM orchestration. Our AI roast tool delivered laughs—and conversions.

Try it: Twitter Roast AI 🛠 Build your own with Wordware: wordware.ai