Agents as customers: your business is built to keep them out
AI agents already buy, book and ask for support on people's behalf. Most businesses stop them at the door. What an agent needs from you, and what to do now.
Long-form and opinionated. One argument per essay, on getting AI agents from demo to production in the enterprise.
AI agents already buy, book and ask for support on people's behalf. Most businesses stop them at the door. What an agent needs from you, and what to do now.
An AI SRE agent finds the root cause of a production issue and proposes the fix. How Uber's Debug Assist works, how Ailoitte runs it, and how to adopt one.
Single agent or multi-agent? Atallah says ten specialists beat one superagent. Masad runs one agent across Replit. Here's how CTOs should choose.
Rivals are moving routine AI work to small models they own, at about a tenth of the cost. Why SLMs win the enterprise and how to start before the gap compounds.
AI software factories, explained for executives. What a dark factory is, the four levels of letting go, and why blast radius picks your level, not the vendor.
MCP vs API in plain English for department heads and CXOs. One remote per device against one USB-C port, and the sum that decides what your agents cost.
A forward deployed engineer is a vendor's engineer sent to finish the product in your building. Why it exists, why post-sales hires it, and what to demand.
Leverge runs 306 agents across 13 functions. Where they cluster, why the process is the unit rather than the agent, and the rule that makes enterprises say yes.
Fixed-price agentic AI works when "done" is an evaluation set, a refusal list and a budget. Why hourly billing fails for agents and how pods price the work.
Production-grade is a checklist, not a feeling. Five tests an enterprise AI agent must pass, on refusals, traces, ownership, budget and evaluation.
Enterprise AI agents fail between demo and production for organisational reasons, not model reasons. The three gaps they die in, and what closes each one.