Inside Zowie’s AI Architecture: How to build AI agents that don’t break

Most AI Agents today rely heavily on tool-calling and domain-specific reasoning. When we first started building them, we thought this approach made sense too - but wow, we quickly realized it's actually a dead-end.

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In this live session, Zowie’s CTO Michał Partyka will walk you through the architecture behind Zowie’s AI Agent Platform - how we separate conversation from execution, achieve deterministic accuracy, and scale automation across even the most complex workflows.

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You’ll see what breaks in real-world deployments, why most AI never makes it past proof-of-concept, and how the right architecture changes everything.

This isn’t about prompts. It’s about building AI that works.

You'll learn:

• Real-life examples of LLMs making the wrong call—and why it happens
• The hidden architectural problems in building AI agents
• How Zowie separates reasoning from decision-making to deliver reliable automation
• Why accuracy alone isn’t enough—and how testing, supervision, and orchestration turn an AI into a real product

Who should attend:

CTOs, heads of engineering, and solution architects owning AI strategy

Platform, infrastructure, and AI teams building scalable customer-facing systems

Technology Teams assessing how to deploy AI Agents reliably, at scale