The dead end of “we will just train our own model”
When a narrow ML model is a bullseye, what a language calculator is, why training your own LLM on contracts is a blind alley, and three questions before you spend the budget.
Atypical
“Retroactive architecture” — a new idea in IT?
AI deployments diverge by department — no inventory, no owner. Retroactive architecture is how you understand how things are before you decide what to change.
HRMS does for people what no one does for your agents
Organizations are building fleets of agents with no governance layer. We introduce a language and inventory model: AIRS — AI Repository of Skills.
Who's Responsible for AI Transformation in Your Company?
Most firms separate deploying a model from owning how people apply it. Until AI is treated as an organizational resource with its own line of accountability — not an “IT project” — the MIT and BCG statistics will stay where they are.
Your n8n Agent Is Already Compromised
The architecture you have built is probably elegant — and, in its current form, an open door. When your n8n agent reads an external source and passes it through memory, you create the exact conditions of the Zombie Agent framework.