Ragebait.ai
Rapid AI Generation
Experiments
Testing prompts through memes & apps
Better prompts
Refined through real user feedback
Optimized Enterprise
Agentic AI apps
Production-ready automation
Rapid AI Generation Experiments
Effective LLM prompting is now a critical driver for improving the performance and reliability of agentic systems
Foundation Models Evolution
GPT-4 to Claude 3.5 Sonnet to o1 happened in ~18 months. The pace of model capability growth means prompt engineering techniques must evolve just as rapidly to unlock their full potential.
Living Prompt Repository
Inspired by Anthropic's work on interpretability and constitutional AI, we're creating a continuously updated library of prompt patterns, stress tests, and agent workflows that push the limits of cutting-edge LLMs.
Agent Failure Analysis
After speaking with dozens of AI founders, one truth keeps surfacing: many agents fail not because of model limits, but because the prompts behind them aren't designed well. The bottleneck isn't the model - it's the human crafting the instructions.
Production Standards
We aim to bring prompt engineering to the same standard as the models themselves — rigorous, testable, and production-ready. No more "it works on my machine" prompts. Every prompt pattern should be versioned, tested, and validated.
Rapid Experimentation
Our RAGE Labs arcade serves as a live testing ground where each app is a controlled experiment exploring how prompts shape AI behavior, tone, and reliability - iterating daily to uncover what gets models to do what users actually want and where they break.
Research to Production Bridge
What we test in the arcade, we deploy in production - fast, aligned, and built for scale. Our dual-identity approach lets us apply experimental insights to build production-grade agentic AI systems that automate analytics pipelines, enable natural language interfaces, and streamline enterprise decision ops.
What We Do
Prompt research through AI apps and memes
Ragebait is an LLM-powered arcade for testing how prompts shape AI behavior. Each app is a live A/B test exploring tone, voice, and intent. We iterate daily to uncover what gets models to do what users actually want and where they break.
Shipping agentic MVPs for Enterprises
Our Rapid AI Generation Experiments inform the design of agentic AI systems that power real enterprise use cases: automating analytics pipelines, natural language interfaces for internal tools, scaling customer support or streamlining decision ops.
Core Values
We ship MVPs, FAST
We move from idea to working product quickly, iterating based on real user feedback and real-world use.
AI research can be fun
Some users will see RAGE labs as a meme and that is intentional.
Prompt Design Libraries
We have built a repository of prompt engineering best practices for different models
Team
Right now it's just a 1-man team, but that one person is caffeinated enough to count as three.
Tushar Badhwar
Founder
Columbia Engineering Alum, New York City
Contact us!
Got feedback? Found a bug? Want to ship an agentic MVP for your idea? We're here for it!