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.
Architecture
Reference designs, orchestration, tool use, memory and evaluation for agents that run in production.
The framework behind this pillar: Agentic in Production.
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.
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.
Agentic AI reference architecture for enterprise
A six-layer reference architecture for enterprise AI agents - work definition, orchestration, tools, memory, guardrails, operations - with steps and checklists.