We launched Twitter Roast AI days before our main Wordware release. It went viral (7.3M users, $100K+ in revenue, and 300K+ 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.
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