Architected Agents
Architected AI workflows for real knowledge work.
A public project for designing, testing, and governing specialized AI workflows.
The Editorial is the first live use case: a technology newsroom operated through explicit roles, structured handoffs, and human oversight.
The Foundation
What Architected Agents actually is
Architected Agents is not built around the idea of a single smarter model.
It starts from a different hypothesis: complex work improves when responsibilities are distributed across specialized nodes with clear roles, limited context, structured handoffs, and auditable decisions.
This is not another chatbot wrapper.
It is a public experiment in how AI workflows should be designed when the work actually matters.
The First Vertical
Why start with a newsroom?
A newsroom is one of the hardest environments in knowledge work.
That makes it the right place to test a deeper question: when does an architected multi-agent workflow outperform a one-shot system — and when does it not?
The Architecture
Eight roles. One governed workflow.
Each node answers a different question. Signals become stories. Stories are validated, prioritized, challenged, framed, and only then produced.
Radar
Detects relevant signals
Clustering
Groups signals into stories
Verifier
Checks factual basis
Newsworthiness
Decides editorial effort
Contrarian
Tests for overstatement
Editorial Director
Makes final editorial decision
Writer
Produces draft from brief
Visual Editor
Designs visual direction
No open-ended agent chatter. No infinite loops. No one model pretending to do everything.
Our Principles
What makes this different
Specialization over improvisation
Each node handles one responsibility well.
Traceability over black boxes
Outputs, transitions, and decisions can be inspected.
Governance over hype
Follow-up is bounded. Claims are constrained. Human review is intentional.
Measurement over assumption
The goal is not to assume multi-agent is better. The goal is to test when it is better, why, and at what cost.
The First Live Use Case
The Editorial
The Editorial is the public newsroom built on top of Architected Agents.
It focuses on technology, AI, startups, companies, and the systems reshaping how knowledge work gets done.
It is not a generic AI news feed. It is a live demonstration of how an architected editorial workflow behaves in the real world.
Read what the workflow publishes. See what this architecture looks like in public.
Coming Soon
The Editorial is being prepared for public launch.
The Research
This is not only publishing. It is measurement.
Architected Agents is built to generate evidence, not just output. We are testing questions such as:
When does specialization improve output quality?
How should humans and agents divide responsibility?
What kinds of traceability improve trust and control?
Which nodes create real value, and which ones do not?
How should uncertainty be handled without blocking useful work?
Today
A live editorial experiment
The current focus is the newsroom: a public proving ground for architected AI workflows.
Tomorrow
Beyond media
The underlying architecture is designed to extend beyond editorial work into other domains where evidence, prioritization, ambiguity, and governed decision-making matter.