The story behind DebateTalk
Fifteen years in engineering teaches you one thing above all else: the answer you trust without questioning is the one most likely to cost you.
I’m Vladimir Kokovic. A software engineer with a Master’s degree from the University of Liverpool and a career that’s taken me from early-stage startups where I was the entire technical team, to large-scale systems serving millions of users. I’ve architected platforms, shipped products under impossible deadlines, and debugged problems at 3am that no documentation could explain.
When AI tools entered my daily workflow, everything changed. And not entirely for the better.
It was fast, articulate, and confident. The problem was, it was also sometimes wrong in ways that were almost impossible to catch.
I started relying on AI for code reviews, technical decisions, and architectural guidance. A hallucinated API that didn’t exist. A security recommendation that sounded right but missed a critical edge case. An architectural suggestion that would have crumbled under real-world load.
I found myself doing something absurd: copying an AI’s response into a different AI to check if the first one was right. Then checking that response with a third. Switching between tabs, models, and providers, each with their own API keys, rate limits, and interfaces. The workflow meant to save me time was eating hours of my week.
What if AI could debate itself?
Not one model giving you a single confident answer, but multiple models challenging each other’s reasoning in real time. An adversarial process where weaknesses get exposed, assumptions get questioned, and what survives is something you can actually trust.
That’s what DebateTalk is.
How it works
You bring a question. Technical, strategic, or anything where the stakes matter. Multiple AI models argue different positions, poke holes in each other’s logic, and a separate judge model evaluates the arguments.
No single point of failure. No unchallenged confidence.
I built it to work the way I needed it to: no API keys to manage, no complex setup, no juggling between providers. You sign up, ask your question, and let the models fight it out.
The tool I wished existed during every late night debugging session and every high stakes architecture decision.
After 15 years of building products for other people, this is the one I built for myself.
And for every engineer, researcher, and decision maker who’s ever stared at an AI response and thought: “but is this actually right?”