AI Techniques
# Builders
# AI Techniques
AI Techniques (Production): Use Case Discovery & System Scoping
Learn how to identify high-value AI use cases and scope them into production-ready systems. Covers problem framing, architectural decision-making, and aligning use cases to evaluation and deployment constraints. Best for builders and teams planning real-world AI initiatives.
Understand when fine-tuning is the right tool — and when it isn’t. This session covers dataset strategy, evaluation-driven tuning, performance vs cost tradeoffs, and common failure modes observed in production systems. Best for builders optimizing LLM performance at scale.
# Builder
# AI Techniques
A deep dive into building evaluation systems that support confident production launches. Covers eval harness design, regression testing, score interpretation, and iteration loops drawn from real customer deployments. Best for builders taking LLM applications from pilot to production.
# Builder
# AI Techniques
Learn how to design, evaluate, and operate agent-based systems in production. Recorded from Builder Bootcamp, this session covers real-world agent architecture patterns, tool orchestration, failure modes, and guardrails used by enterprise teams. Best for builders shipping agentic systems beyond prototype.
# AI Techniques
# Builder
Learn the fundamentals of evaluating LLM-powered applications. This session introduces core evaluation concepts, including test case design, scoring approaches, and how evals fit into the development lifecycle. Best for builders new to systematic evaluation or looking to refresh the basics before moving into production workflows.
# Builder
# AI Techniques
An overview of key tools and features in the Responses API. Covers core capabilities, configuration options, and how builders can leverage the API to create dynamic interactions. Best for builders getting oriented to the platform before applying advanced patterns.
# Builder
# AI Techniques
A foundational introduction to agentic systems using the Agents SDK. Explains how agents work, how tools and memory are orchestrated, and where agent-based approaches are most effective. Best for builders exploring agent concepts prior to designing production architectures.
# Builder
# AI Techniques