Ai agents

Agentic Consent Explained: How AI Agents Act Safely and Responsibly

Agentic Consent Explained: How AI Agents Act Safely and Responsibly

Grant Miller from IBM explains Agentic Consent, a dynamic framework for governing AI agents. The model moves beyond static permissions, using identity, context, and just-in-time user prompts to ensure AI agents act with, not instead of, their human counterparts, enabling trust and safety as autonomy scales.

From Zapier for Devs to Powering 90% AI Agents

From Zapier for Devs to Powering 90% AI Agents

Co-founders of Trigger.dev discuss their journey through three product versions to find product-market fit, how their async infrastructure positioned them perfectly for the AI agent era, and their vision for the future of computing: programmatic checkpoint and restore.

Thin Harness, Fat Skills: The New Way To Build Software

Thin Harness, Fat Skills: The New Way To Build Software

This episode explores the transformative shift in software development, where AI agents empower solo developers to achieve unprecedented productivity. Featuring YC President Gary Tan's return to coding after 13 years, it delves into new workflows, the 'tokenmaxxing' philosophy, and the rise of personal, user-controlled AI.

Agentic Search for Context Engineering — Leonie Monigatti, Elastic

Agentic Search for Context Engineering — Leonie Monigatti, Elastic

Leonie Monigatti from Elastic provides a practical guide to agentic search, arguing that effective context engineering is not just a retrieval problem, but a search problem. The workshop explores the trade-offs between specialized tools (like semantic search) and general-purpose tools (like shell and SQL execution), offering a "low floor, high ceiling" framework for building a robust and efficient retrieval stack for AI agents.

Live from Think 2026: AI operating model, VC funding & CAIO evolution

Live from Think 2026: AI operating model, VC funding & CAIO evolution

Live from IBM Think 2026, experts discuss the maturation of enterprise AI, moving from siloed applications to integrated, end-to-end solutions. The panel explores the rising trust in AI for strategic decisions, the evolving role of the Chief AI Officer (CAIO), and the state of AI investment, arguing that the field is broadening to solve specific business problems.

Skills at Scale — Nick Nisi and Zack Proser, WorkOS

Skills at Scale — Nick Nisi and Zack Proser, WorkOS

Nick Nisi and Zach Proser from WorkOS explain how to build, manage, and scale AI 'skills'—reusable, portable instructions that make AI agents like Claude more powerful and consistent. They cover the core anatomy of a skill, best practices for writing them, advanced techniques like progressive disclosure, and their application beyond coding, from video generation to automating business workflows.