What is Roundtable?
Roundtable is like having a team of AI experts working together on your question. Instead of asking one AI, multiple models collaborate, critique each other, and combine their strengths to give you the best possible answer.
Think of it like a team meeting
Imagine you have an important question. Instead of asking just one person, you gather a team of experts around a roundtable. Each expert gives their answer, they discuss and critique each other's ideas, the best answer gets refined, and you walk away with a solution that's better than any single expert could have provided alone. That's Roundtable in action.
The 4-Phase Process
Here's exactly how Roundtable works, step by step
Initial Responses
All AI models independently provide their best answer to your question. Think of it like asking multiple experts the same question at the same time - each brings their unique perspective.
How it works: Each model works in parallel, so this happens quickly. They don't see each other's answers yet, ensuring independent thinking.
Cross-Critique
The models review each other's responses, identifying strengths and weaknesses. It's like a peer review process where experts evaluate each other's work.
How it works: Each model critiques the others' answers, pointing out what's good, what could be improved, and what might be missing.
Improvement
The model with the fewest critiques (the best initial answer) refines its response based on the feedback. It acknowledges valid points and enhances its answer.
How it works: The winning model takes the feedback seriously and improves its answer, creating a more comprehensive and accurate response.
Consensus
The final, improved answer is selected and presented to you. This is the result of collaborative intelligence - multiple AI minds working together.
How it works: You get the best answer that has been refined through collaboration, ensuring higher quality than any single model could provide alone.
Agentic Roundtable
The next level of AI collaboration
While regular Roundtable has models work together on a single answer, Agentic Roundtable takes it further. Instead of collaborating on one response, models work on different parts of a project simultaneously.
Example: Building a Web App
Each model is assigned to what it does best, based on real performance data. The system learns which models excel at coding, which are great at design, and which handle logic best - then assigns tasks accordingly.
How Dynamic Rankings Work
The system learns and improves over time
The Learning Process
Every time Roundtable runs, the system tracks which models contribute most to the best answers. Over time, this builds a real-world performance database that shows which models are genuinely best at different types of tasks.
How Rankings Are Calculated
We begin with benchmark scores from standardized tests (like how students have SAT scores).
As Roundtable runs, we track which models win (contribute most to the best answers) in each category.
The final ranking combines benchmark scores (early on) with real-world performance (as data accumulates). After 50+ rounds, rankings are based entirely on actual performance.
Why This Matters
Static benchmarks tell you how models perform on tests. Dynamic rankings tell you how they perform on real questions from real users. This means the system gets smarter over time, always routing your questions to the model that's proven to be best for that specific type of task.
Why Roundtable?
Better Answers
Multiple perspectives lead to more comprehensive and accurate responses
Continuous Learning
The system gets smarter with every query, learning which models excel at what
Optimal Routing
Your questions automatically go to the best model for that specific task