Author and engineer
Vladimir Kroz
AI agents, search systems, information retrieval, and machine learning infrastructure.
Vladimir Kroz is a software engineering professional focused on distributed systems, large-scale data processing, information retrieval, machine learning, and the infrastructure required to operate reliable AI agents.
At Agenture AI Lab, he writes practical research for engineers building agentic systems. His work connects agent evaluation and multi-agent coordination with lessons from production search and ML platforms: measurable relevance, observable behavior, controlled execution, and infrastructure that remains dependable at scale.
Areas of focus
- Reliable AI agents: evaluation, safety controls, observability, and production operations.
- Multi-agent systems: coordination patterns, failure modes, and architectural tradeoffs.
- Search and information retrieval: retrieval systems, ranking, relevance, and large-scale data processing.
- ML infrastructure: the platforms, evaluation loops, and operational controls behind production machine learning.
Selected articles
- Agent Memory Is a Search System
- The Coordination Tax: When Multi-Agent Systems Are Worth It
- Agentic AI: Towards reliable AI agents
- State of AI Agents in 2025
Profiles
LinkedIn, GitHub, and Stack Overflow.