Topic modeling

Advanced Workshop: Mastering AI Observability — Doug Guthrie, Braintrust

Advanced Workshop: Mastering AI Observability — Doug Guthrie, Braintrust

Doug Guthrie showcases how Braintrust connects observability with AI agent improvement. Using a support agent, he demonstrates setting up tracing, establishing evaluation baselines, and publishing custom scorers. The workshop delves into Braintrust's Topics feature for discovering unknown failure modes, configuring online automations, and importing real-world traces. A key focus is on automating the improvement cycle: using the Loop assistant for SQL-based trace analysis, integrating coding agents with Braintrust CLI skills to propose code changes, add regressions, run evals, and generate pull requests, thereby closing the feedback loop from production to development.

Why Most AI Agents Fail Horribly

Why Most AI Agents Fail Horribly

Maarten Grootendorst discusses the foundational understanding developers need for modern AI tools, emphasizing core LLM concepts like tokens, embeddings, and attention. He provides a pragmatic view on AI agents, distinguishing hype from practical applications like coding assistants, and explores the role of memory, guardrails, and the growing importance of open-weight models for control and efficiency in AI infrastructure.