Agentic Prediction - EP 52 - Michael Ulin - Tenki AI
From So What About AI Agents by Philippe Trounev
January 27, 2026 · 32 min · Season 1 · Episode 52
About this episode
Michael Ullam discusses building AI agents and the intricacies of prediction markets.
In this conversation, Michael Ullam, CEO of Tenki AI, discusses the intricacies of building AI agents, particularly in the context of prediction markets. He emphasizes the importance of understanding limitations, building trust with users, and the architecture of multi-agent systems. Michael shares insights on logging practices, avoiding overfitting, and the cost-effectiveness of predictions. He also touches on the long-term vision for Tenki AI, strategies for product launch, and the advantages of bootstrapping a startup. Throughout the discussion, he provides valuable advice for founders looking to navigate the AI landscape.takeawaysUnderstanding limitations is crucial for AI agents.Building trust with users is essential for success.Multi-agent systems can improve forecasting accuracy.Breaking down problems into subcomponents enhances performance.Logging practices are vital for system improvement.Avoiding overfitting is key to reliable predictions.Rapid feedback loops are beneficial in prediction markets.Validating demand before product development is important.Bootstrapping can be more efficient than seeking venture funding.Focus on solving real problems that you personally…
People in this episode
Host: Philippe Trounev
Guest: Michael Ullam
Topics covered
- AI agents
- prediction markets
- trust in AI
- multi-agent systems
- startup strategies
Keywords
- AI agents
- prediction markets
- trust
- multi-agent systems
- bootstrapping
- overfitting
- logging practices
Mentioned in this episode
Organizations: Tenki AI
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