Like a lot of developers, I’ve integrated AI heavily into my daily workflow. But recently, I ran into a frustrating bottleneck: I couldn't blindly trust a single model.
ChatGPT might give a standard, safe answer. Claude might catch a nuanced edge case in my code. Perplexity or Gemini usually have better live data.
My workflow devolved into constantly copying my prompt, pasting it into four different browser tabs, and then mentally cross-referencing the answers to spot hallucinations or missing details.
It was exhausting. So, I built a tool to automate it.
Enter AI Verdict
I built AI Verdict, a browser extension that lets you prompt ChatGPT, Claude, Gemini, and Perplexity all side-by-side.
But I didn't want it to just be a split-screen tool. I wanted it to do the mental heavy lifting for me. So, I built what I call The Verdict Engine. It takes the outputs from all four models, runs a secondary pass, and generates a single "Final Verdict" that highlights where the models agree and exactly where they contradict each other.
The No-API-Key Approach
One of the biggest friction points with AI side-projects is forcing users to bring their own API keys. It’s annoying to set up billing limits and paste secret keys into an extension you just downloaded.
To solve this, I engineered AI Verdict to piggyback on your existing browser sessions.
If you are already logged into ChatGPT or Claude in your browser, the extension securely routes the query through those existing sessions under the hood. No configuration, no API costs, it just works immediately when you install it.
Would love your feedback!
I just launched v1 and I'd love for the DEV community to tear it apart and give me feedback.
Does synthesizing multiple LLM outputs actually reduce hallucinations for you, or do you prefer sticking to just one model? Let me know in the comments!