Research
Long-form investigations into agent architectures, risks and operational realities.
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.
We are not owned by or affiliated with any vendor.
Claims must be backed by reproducible evidence.
We document methods, data, versions and limitations.
All published work is reviewed by experienced practitioners.
We share data, code and methodology whenever possible.
We aim to raise the standard for the entire ecosystem.
Research, evaluate and explain agent systems.
Long-form investigations into agent architectures, risks and operational realities.
Reproducible benchmarks and field tests across models, tools and runtimes.
Clear, critical analysis that surfaces trade-offs, failure modes and mitigations.
Guides, explainers and briefings to help teams operate responsibly.
We collaborate with engineers, security teams, product leaders and executives.
Building and operating agent systems.
Managing risk, compliance and auditability.
Evaluating vendors and setting strategy.
Advancing the science and practice together.
Founder
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.
We strive for factual accuracy and correct errors transparently.
We evaluate systems fairly and avoid cherry-picking.
We provide the context needed to interpret results and limitations.
We stand behind our work and welcome constructive critique.
Follow our work, subscribe to Agent Field Notes, or get in touch.