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AI evaluation and benchmark design
Controlled model and agent evaluations using realistic tasks, explicit acceptance criteria, machine or judgment-based oracles, isolated trials, and documented limitations.
Evidence before assurance
I design tests, inspect connected workflows, direct and verify agent-assisted implementation, and turn technical evidence into decisions about what can be trusted, what needs correction, and what must remain under human review.
Capabilities
My work begins with the acceptance boundary: what would need to be true before the result could be used, delivered, or trusted?
01
Controlled model and agent evaluations using realistic tasks, explicit acceptance criteria, machine or judgment-based oracles, isolated trials, and documented limitations.
02
Testing whether components produce a usable connected workflow, investigating false completion and integration failures, and defining the evidence required before work is accepted.
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Inspecting source implementations, comparing tools and architectures, tracing provenance, testing claims, and translating findings into practical decisions.
04
Designing AI-assisted workflows, approval boundaries, recovery behavior, and knowledge systems that preserve human authority and durable records.
Selected work
Public evaluation portfolio
Five inspectable studies covering benchmark design, controlled model comparisons, professional-report review, agent reliability, verification methods, and bounded claim-making.
Public repository · Runnable or inspectable evidence
Private application · Public case description
An agent-assisted desktop media-production application used to investigate product direction, acceptance design, agent supervision, integration testing, and the difference between passing components and a usable connected workflow.
Under development · Source remains private
Operational personal system
A working system combining searchable conversation archives, local semantic retrieval, portable Markdown records, mobile capture, synchronization, scheduled reporting, and explicit information-governance rules.
In daily use · Multi-user product work is separate
Selected writing
Why completed output, passing checks, cost, elapsed time, and remaining human work belong in the same evaluation.
Medium · AI evaluation and workflow reliability
Why successful completion does not prove that an autonomous agent worked independently, and why scope drift, supervision, and unnecessary implementation belong in the result.
Medium · Agent reliability and supervision
How conversation search, durable notes, synchronization, mobile capture, and scheduled reporting became one continuity system.
Medium · Knowledge systems and workflow design
Ways to work with me
I am open to remote full-time and contract work in AI quality, agent evaluation, systems QA, technical research, and technical writing.
For defined consulting projects, I evaluate sanitized AI-assisted workflows and provide written findings covering tested capabilities, failure patterns, costs, limitations, and remaining human-review work.
Contact
For employment, contract work, technical research, writing, or a bounded evaluation project, email a brief, non-confidential description of what you need.