
From Prompt to Process: What Makes an AI Agent Different from a Chatbot
The label 'agentic' is applied unevenly. This explainer separates four forms of software by what they can do on their own — and what oversight each requires.
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Independent reporting and analysis on AI agents, emerging technology, and the companies building them.
The Agentic Editor examines what AI agents do, who is building them, and what changes when emerging technology moves from promise to practice. The Agentic Editor combines clear reporting, informed analysis, original perspectives, and research-driven coverage for readers who want to understand why a development matters—not simply that it happened.

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The label 'agentic' is applied unevenly. This explainer separates four forms of software by what they can do on their own — and what oversight each requires.
The newest reporting, analysis, and perspectives.

The label 'agentic' is applied unevenly. This explainer separates four forms of software by what they can do on their own — and what oversight each requires.
When an organization deploys an agent to act on its behalf, it extends its own actions — it does not transfer responsibility. Autonomy without accountability is the most dangerous idea in the agent conversation.
A practical, original framework covering use-case selection, data classification, minimum permissions, vendor assessment, approval gates, logging, incident response, review, and retirement — with a governance checklist.
A proposed standard defining the required fields for documenting an agentic workflow: inputs, outputs, tools, permissions, decision points, approval gates, exceptions, logs, ownership, versioning, testing, deployment, monitoring, and rollback.
Research papers and white papers with abstracts, authors, and sources.
The Agentic Editor Editorial Desk
This white paper proposes an original, practical framework that a small organization can apply to govern AI agents without a dedicated compliance team, covering use-case selection, data classification, minimum permissions, vendor assessment, approval gates, logging, incident response, performance review, and retirement.
The Agentic Editor Editorial Desk
A proposed documentation standard, original to The Agentic Editor, defining the required fields for documenting an agentic workflow so that what it does and where it requires human judgment can be understood and reviewed.
A closer look at how organizations put AI agents to work in real operating environments.

As AI agents take on multi-step work, the real question is no longer whether to supervise them, but where. A practical decision matrix for placing human checkpoints across agentic workflows — when review can be retrospective, when preapproval fits, and when an agent should not act at all.
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Independent reporting and analysis on AI agents, emerging technology, and the companies building them—delivered once a week.