Trustworthy agent execution
How can agents act across complex software while remaining observable, recoverable, and constrained?
RESEARCH DIRECTION
Build the control systems
around intelligence.
The difficult part is no longer making a model answer. It is making an autonomous system act safely, visibly, recoverably, and usefully.
Reproducible AI claims
What evidence is enough for a model, benchmark, or demo claim to be trusted by a technical reviewer?
Agentic cyber defense
How can specialized agents reduce investigation and response time without hiding critical decisions?
Human-agent coordination
Where should people approve, redirect, or override autonomous workflows to preserve trust and accountability?
01 / Principles
Research that remains answerable to reality.
Product-connected
Research questions are tested through working systems, observed failure modes, and real operational constraints.
Transparent about maturity
Concepts, prototypes, active products, and verified capabilities are labeled differently. Vision is not presented as deployment.
Security before authority
More capable agents should receive more instrumentation, narrower policies, stronger approval gates, and clearer recovery paths.
Accessible under constraint
Useful autonomy should not require unlimited compute, premium hardware, or an expensive API call for every decision.
PUBLICATION PIPELINE
Open build log ↗Technical notes will live here.
Architecture decisions, failure reports, experiments, and build lessons will be published as the systems mature.