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Our mission

We study how AI models become agent systems and how those systems are operated responsibly — across harnesses, runtimes, control planes, governance, permissions, memory, execution, observability and recovery.

We publish what we learn, including what doesn’t work.

Independence

We are not owned by or affiliated with any vendor.

Evidence first

Claims must be backed by reproducible evidence.

Transparency

We document methods, data, versions and limitations.

Human review

All published work is reviewed by experienced practitioners.

Open by default

We share data, code and methodology whenever possible.

Service to the community

We aim to raise the standard for the entire ecosystem.

What we do

Research, evaluate and explain agent systems.

Research

Long-form investigations into agent architectures, risks and operational realities.

Experiments

Reproducible benchmarks and field tests across models, tools and runtimes.

Analysis

Clear, critical analysis that surfaces trade-offs, failure modes and mitigations.

Education

Guides, explainers and briefings to help teams operate responsibly.

Who we work with

We collaborate with engineers, security teams, product leaders and executives.

Engineering teams

Building and operating agent systems.

Security & GRC

Managing risk, compliance and auditability.

Product leaders

Evaluating vendors and setting strategy.

Researchers

Advancing the science and practice together.

  • Agent architecture
  • Governance
  • Evaluation

Founder

Adam Maguire Wilson

Founder and Principal Advisor

Adam Maguire Wilson is an independent advisor and researcher focused on AI agent systems. He advises engineering, security and product teams on agent architecture, governance and operations, and publishes his ongoing research here and in the Agent Field Notes briefing.

Our editorial commitments

Accuracy

We strive for factual accuracy and correct errors transparently.

Fairness

We evaluate systems fairly and avoid cherry-picking.

Context

We provide the context needed to interpret results and limitations.

Accountability

We stand behind our work and welcome constructive critique.

Read our standards

We’re always learning.

Follow our work, subscribe to Agent Field Notes, or get in touch.