What Nagent has written down.
Thesis papers on how agentic work has to be organised, frameworks any team can reuse, research with its sources, and guides for the buyer who has to decide. Each page is dated, sourced and written to be cited.
What is an agentic AI platform?
Agents, copilots and workflow builders, and the controls that separate them
An agentic AI platform runs AI agents that plan and carry out multi-step work across a company's tools, under controls that decide what each may do alone.
How to evaluate an agentic AI platform
Six criteria, three grades of evidence and one bounded pilot
A buyer's guide to evaluating agentic AI platforms on six criteria, grading each claim by its evidence, and running one bounded pilot judged on a number.
The NORA Field Manual
How an outbound research and activation agent works
A complete account of how an outbound research and activation agent works, written for the sales leader who has to decide whether to hire one.
The Earned Autonomy Ladder
How much an AI agent may do alone, decided by its record
A five-rung framework for how much an AI agent may do without a person, moved up by a record of approved work and taken back when it slips. CC BY.
Anatomy of an Agent: A Configuration, Not a Program
The ten declared parts every Nagent agent is built from
Every Nagent agent is one chassis with ten declared parts, each with a stored value, an owner and a history. How they compose, govern and extend.
The Nagent Thesis
Agentic work needs three layers, not one product
Nagent builds the infrastructure that governs agents, the agent teams that do the commercial work, and the operating crew that makes the outcome land, and why the model has to be built in that order.
State of Agent Governance
The control plane is a category before it is a product
The control plane is a category before it is a product: adoption data, the fourteen-layer stack, the analysts' competing definitions, and how Nagent approaches agent governance.
The Answer Layer
Search did not die. It stopped being a list of places to go.
Answer engines turned organic visibility from a ranking problem into a supply problem: the evidence, the measurement crisis, and Nagent's DRIS.
The Audition Layer
Nobody owns an audience any more. Every post auditions for one.
Nagent thesis no. 4: why organic social became a per-post supply problem, what the evidence says on trust and AI content, and how MOXA responds.
The Agentic Adoption Curve
Agentic AI is at the foot of the steep section, not on it
Where enterprise AI agent adoption sits in 2026: six surveys reconciled, the four gates that govern the climb, and the signposts of the inflection.
