Llm

Human-in-the-Loop Automation with n8n — Liam McGarrigle

Human-in-the-Loop Automation with n8n — Liam McGarrigle

Liam McGarrigle demonstrates how to build secure, observable, and controllable AI agents in n8n. The workshop covers creating a human-in-the-loop workflow for managing Gmail and Google Calendar, focusing on n8n's visual system for tool configuration, prompting strategies, and implementing essential approval steps to prevent unintended actions.

I Gave an AI Agent the Keys to My Life (Here's What Happened) — Radek Sienkiewicz, Velvet Shark

I Gave an AI Agent the Keys to My Life (Here's What Happened) — Radek Sienkiewicz, Velvet Shark

A deep dive into the practical, long-term experience of giving a personal AI agent (Open-Claw) incremental control over one's digital life. The talk covers the gradual "permission creep," the pivotal role of an Obsidian knowledge base for providing context, the ecosystem of overnight cron jobs for self-maintenance, and the philosophy of using an agent to "optimize for your future self."

LLM codegen fails and how to stop 'em — Danilo Campos, PostHog

LLM codegen fails and how to stop 'em — Danilo Campos, PostHog

Danilo Campos of PostHog details the common failure modes of LLM-based code generation—from model rot to security risks—and shares the practical, prose-driven strategies his team uses to make their autonomous coding agent reliable for thousands of users.

Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor

Replacing 12K LoC with a 200 LoC Skill — David Gomes, Cursor

David Gomes from Cursor explains their transition from a complex, 15,000-line Git WorkTrees feature to a lightweight, flexible solution built on Markdown prompts. He details how 'Skills' and 'Sub-agents' recreated parallel coding workflows, and discusses the trade-offs, failure modes, and lessons learned from shifting product logic from hard code to natural language instructions.

Why building eval platforms is hard — Phil Hetzel, Braintrust

Why building eval platforms is hard — Phil Hetzel, Braintrust

An evaluation platform is more than a simple test runner; it's a complex system for creating shared definitions of quality. This talk explores the evolution of eval platforms from basic spreadsheets to sophisticated, integrated systems, highlighting the hidden data and systems engineering challenges involved in making them credible, scalable, and usable for building trustworthy AI agents.

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

AI agents represent a paradigm shift from conversational AI to autonomous systems that can perform actions. This is achieved through an 'agentic loop' combining Large Language Models (LLMs) with tools, as exemplified by the OpenClaw framework, which enables complex, automated workflows while also raising important security considerations.