MCP vs API: why the third AI agent costs more than the first
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.
Writing
Long-form and opinionated. One argument per essay, on getting AI agents from demo to production in the enterprise.
Forward deployed engineers are a symptom, not a cure
Gartner's guide to forward deployed engineering says the quiet part - vendors embed engineers because their platforms cannot ship alone. What to demand instead.
What 306 agents in production taught me about enterprise AI
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 for agentic AI: how pods make it possible
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.
What "production-grade" actually means for an AI agent
Production-grade is a checklist, not a feeling. Five tests an enterprise AI agent must pass, on refusals, traces, ownership, budget and evaluation.
Why most enterprise AI agents never leave the demo
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.