Beyond Temperature Zero: Building Deterministic AI Applications

Artificial intelligence can write code, summarize documents, answer questions, and automate complex workflows—but anyone who has worked with large language models knows that the same prompt does not always produce the same result. Temperature settings alone are not enough to eliminate variability. Building reliable AI systems requires a fundamentally different approach.
In this session, we will explore the techniques and architectural patterns that transform AI from an unpredictable chatbot into a dependable component of production systems. Special emphasis will be placed on tool calls and structured workflows as mechanisms for achieving deterministic outcomes. By constraining AI models to invoke well-defined tools, APIs, databases, and business processes, developers can move critical decisions away from probabilistic text generation and into systems that produce consistent, verifiable results.
Attendees will learn how to combine prompts, function calling, schemas, validation, and orchestration patterns to create AI applications that behave predictably across repeated executions. We will examine practical examples showing how tool usage can enforce business rules, guarantee output formats, and dramatically reduce hallucinations.
Whether you are building copilots, agents, or enterprise AI solutions, this talk will provide concrete strategies for moving beyond temperature zero and engineering AI systems that users and organizations can trust.