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Module

Agentic AI

Agents that do work, the workflows that orchestrate them, and the systems they reach. An agent is not a chatbot and not a batch job: it chooses its next step at run time, against tools it was granted, under limits somebody set. Every one of those choices is recorded — which model, which version of which prompt, which tools it held, what it called, what came back, what it cost and who approved it — because "the agent did it" is not an answer anybody can audit.

6 groups · 9 sections · 29 screens

Build & Orchestrate

What an agent is, what it may call, and the canvas it is joined up on.

Build

4

What an agent is, what it may call, and what it is allowed to know.

Orchestrate

4

The canvas, the graphs on it, and what starts them.

Templates

1

Working agents for problems most businesses have.

Reach

The systems outside this platform that agents can talk to.

Connect

3

The MCP servers, APIs and other agentic platforms this company reaches.

Authority

The limits, and what broke them.

Limits & Oversight

2

The limits that are not the agent's own, and what broke them.

Running

What is happening now, what is waiting on somebody, and what came out.

Operate

6

What is running, what is waiting on somebody, and what it produced.

Assess

4

Whether any of it was any good, and what the agents remember.

Reporting

Cost, value, and whether any of it is trusted yet.

Reporting

2

What the agents cost, what they produced, and how much of it was kept.

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