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.

Mar 12, 2026

The Future of Search: Agents, RAG, and Why Retrieval Still Matters — Simon Eskildsen, Turbopuffer

Simon Hørup Eskildsen, founder of turbopuffer, shares his journey from scaling Shopify's infrastructure to creating a new search engine for the AI era. He discusses how a prohibitively expensive experiment at Readwise inspired him to build a cost-effective vector search solution based on object storage and NVMe. Eskildsen breaks down turbopuffer's architecture, its role in cutting costs for companies like Cursor and Notion, his philosophy on building a 'P99' engineering team, and how agentic workloads are changing the future of retrieval.

Jan 06, 2026

Inside the $41B AI Cloud Challenging Big Tech | CoreWeave SVP

Corey Sanders, SVP of Product at CoreWeave, explains why the unique, high-stakes demands of AI workloads are driving a shift away from general-purpose clouds toward specialized "Neo Clouds." He details the specific hardware and software innovations in storage, cooling, and networking that allow CoreWeave to maximize GPU utilization and deliver superior performance, arguing that this focused approach creates a durable competitive advantage.