Methodology

Evidence before enthusiasm.

We evaluate AI through the workflow it must complete—not the quality of its demo.

1. Define the job

Every test begins with a specific business outcome, required inputs, acceptance criteria, and the human effort currently required.

2. Record the full cost

We include subscription or API cost, setup time, integration work, supervision, retries, and the cost of failure.

3. Run repeatable trials

Where outputs vary, we use multiple trials and preserve prompts, settings, source material, dates, and model versions.

4. Separate capability from reliability

A tool that succeeds once may be capable. A tool that succeeds consistently, safely, and economically may be deployable.

5. Publish limitations

Recommendations include source links, assumptions, failure modes, and a last-verified date. Material vendor relationships will be disclosed.