Anteria

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

Aug 19, 2026 · 19:15

Christopher Lovejoy of Anthropic and Saul Howard of Anteria argue that enterprise stacks aren't ready for AI agents; regulated industries need primitives, not bolted-on compliance. An audit trail isn't a developer log: under HIPAA it must record every action, data access, and authorization, so they use an immutable append-only event log. Patient data lives in schema-driven object storage referenced by events, letting devs debug without PHI, enabling zero trust against prompt injection. Escalation treats humans and models as equivalent agents, enabling the same actions by either. These primitives make privacy-preserving evals a byproduct, enabling replay of production data and evaluation in customer environments without exposing data; take constraints first and rebuild toward POC accuracy.

How to Leverage Domain Expertise — Chris Lovejoy, Notius Labs

May 16, 2026 · 24:45

Chris Lovejoy argues that winning in vertical AI is an organizational problem solved by domain experts acting as Oracle (directly improving AI), Evaluator (defining metrics for engineers), or Architect (building self-improving systems). Granola's first employee, a writer, reviews meeting notes and tweaks prompts as an Oracle because there is no objectively perfect note. Tandem used decentralized Oracles—doctors per specialty and country—to handle variation in medical scribe outputs. Anteria progressed from Oracle to Evaluator to Architect as prior authorization required measurable correctness and automated learning from usage variation. Lovejoy advises hiring a principal domain expert early, giving them ownership, and hiring for breadth (domain expertise plus adjacent skills like data science or engineering) to avoid slow progress and turnover.