AI Product Control Plane
the 360 ai agent framework
The 360 framework for how enterprise AI agents actually work - learn the parts, then run one for real: a live model, sandboxed tools, and a routing policy enforced in code.
01 / FOUNDATIONS
An AI product is a dial, not a switch
The more the system decides for itself, the more agentic it is - and the more machinery you need to stay safe. Drag the dial.
← less autonomymore autonomy →
Agent
cost: Medium-highAn LLM in a loop with tools and memory, chasing a goal.
What decides the next step
The model does, each loop
Use when
Task needs actions and adaptation
What makes something “an agent”
LLM in a loop
›+ tools
›+ memory
›→ pursuing a goal
Remove the loop → a single call. Remove the tools → a chatbot. The loop plus tools plus memory is the whole idea.
rememberAutonomy is a dial. Every notch up adds capability and a failure surface you must instrument.
Learned the parts?
Demo on a synthetic sandbox - see “What is real vs simulated” in the Agent Console. Nothing here touches a production system.