Aug 26, 2026

AI in GTM at Notion — Flora Liu

Flora Liu from Notion's GTM engineering team discusses transforming a fragmented Go-to-Market system into a unified, agent-driven platform. She details how Notion tackles challenges like dispersed customer data and unstructured insights by building a four-layered architecture (Know, Decide, Act, Learn) where humans and AI agents operate on the same substrate, leveraging Snowflake, DynamoDB, and Notion itself to create durable, self-improving workflows and boost sales and marketing effectiveness.

Aug 22, 2026

The Agent Behind the Curtain: Building the Oz Cloud Agent Platform — Safia Abdalla, Warp

Safia Abdalla discusses Warp's cloud agent platform, emphasizing its core principle of absorbing complexity from the user. She details features like flexible sandboxes, multi-harness support, and API-driven agent orchestration. The talk highlights how agents manage Warp's open-source repository—from issue triage to PR review—and introduces the "potter's workshop" analogy as a superior model to the "software factory" for modern, human-centric software development.

Aug 20, 2026

AI Agents vs Business Rules: Which Should Make Decisions?

This video contrasts deterministic business rules with probabilistic AI agents for enterprise decision-making. It argues that instead of one superseding the other, a hybrid approach combining rules-first processing with AI agent escalation for complex, unstructured, or judgment-heavy cases, augmented by deterministic guardrails and human oversight, leads to optimal automation.

Aug 19, 2026

Why Your Enterprise Tech Stack Isn’t Ready for AI Agents — Christopher Lovejoy & Saul Howard

Chris Lovejoy and Saul Howard discuss the critical challenges of deploying AI agents in highly regulated enterprise environments, particularly healthcare. They advocate for a "constraints-first" architectural approach, proposing three core primitives – an immutable event log for auditability, schema-driven object storage for sensitive data, and human-agent equivalency for seamless escalation – which collectively enable privacy-preserving evaluations as a fundamental byproduct of the system design, rather than being an afterthought.

Aug 02, 2026

MCP Tasks (async): Why Aren't Any Agents Supporting Them? — Cornelia Davis, Temporal

Cornelia Davis explains why the MCP tasks specification, designed for durable, long-running, and interactive operations, hasn't seen widespread adoption. She details V1's architectural flaws, particularly concerning scalability and stateful human-in-the-loop interactions, and introduces V2's shift to a stateless core, client-initiated updates, and a clearer path for client-side durability, while outlining future work on scaling and adoption.

Aug 02, 2026

Understanding AI Agent Hallucination in AI Systems

Learn about AI hallucinations, why they occur in autonomous agents, and how they pose new risks as AI takes action. Discover key mitigation strategies including data grounding, tool-based reasoning, scope control, and human-in-the-loop interventions to ensure reliable AI performance.