Chat Playground
Test the same prompt across every AI model at once.
Comparing model outputs meant tab-switching between separate provider consoles — no shared view to judge which model actually fit the task.
A public deployment is available to try.
Case Study
Before
Comparing AI model outputs side-by-side required switching between different provider interfaces. No single tool allowed testing multiple models with the same prompt in a unified UI.
After
Enabled rapid AI model evaluation and prompt engineering. The side-by-side comparison feature became essential for choosing the right model for specific tasks across the portfolio.
How it's solved
Built a multi-model chat interface using the AI SDK that supports OpenAI, Anthropic, Google, and open-source models. Users can send the same prompt to multiple models simultaneously and compare responses side-by-side.
Trade-offs
Responses aren't cached or scored automatically — comparison is visual, not a formal benchmark yet.
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