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Dialog AI: Practical Autonomous Systems
Explore architectural principles and engineering patterns for building stable, autonomous AI systems that integrate with tools and support real business workflows.
In this talk, I’ll share how we at Dialog AI approach the design and engineering of autonomous AI systems that can understand context, interact with tools, and support real business workflows.
Rather than focusing on specific models or frameworks, I’ll walk through the core architectural principles, engineering patterns, and decision-making processes that guide how we build these systems. I’ll discuss how we think about memory, reasoning loops, control, integration with existing software, and what it takes to make AI-driven components stable enough for production.
The goal is to give developers a clear understanding of how such systems can be built in practice—and the kinds of trade-offs, constraints, and design choices involved.