Field notes.

Building agents that can be trusted with work.

Architecture, governance, and operating guidance from the team building Zilionix.

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A practical operating guide.

Featured guide

Enterprise AI agents: an operating guide.

A practical operating model for selecting workflows, bounding autonomy, designing approvals, evaluating runs, and assigning durable ownership.

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More field notes

Choose the next question.

Field note

Agentic AI vs. workflow automation: choose by failure mode.

A failure-mode framework for choosing deterministic rules, RPA, constrained LLM steps, or bounded agent-directed execution.

6 min readRead the note
Field note

A practical security model for enterprise AI agents.

A layered security model for identity, authorization, credentials, data boundaries, guardrails, approvals, audit evidence, and incident readiness.

6 min readRead the note
Field note

Multi-agent orchestration without hidden complexity.

A task-shape guide to single agents, routers, handoffs, supervisors, parallel workers, deterministic workflows, and human gates.

7 min readRead the note

Product reading paths

Move from guidance to implementation.

These pages separate repository-verified capabilities from the operating choices each organization still needs to make.

Put the operating model into practice.

Bring a real workflow and inspect how permissions, approvals, and execution evidence fit around it.