Practical notes on choosing AI tools, checking outputs, and designing experiments you can actually learn from. We separate hands-on results from advice, hypotheses, and things still to be tested.
A simple method for making comparisons more useful: one task, matched inputs, clear criteria, preserved outputs, and honest limitations.
Read article →A source-first workflow for checking definitions, formulas, omissions, and unsupported additions before you revise.
Read article →A transparent look at the available records, provisional evaluator scores, unresolved output identities, and limits of the comparison.
Read the results note →Copy-ready instructions, scoring criteria, recordkeeping tips, and ways to report limitations honestly.
Read article →Break answers into checkable claims, find reliable sources, verify numbers and citations, and match the review to the risk.
Read article →A blank CSV template for recording source fidelity, coverage, clarity, revisions, and uncertainty.
Get the worksheet →Score an AI answer against a weighted rubric and export the evidence record as CSV.
Create a structured prompt with context, constraints, output format, and uncertainty checks.
Estimate time saved after counting human review, corrections, and one-time setup.
Try the calculator →Compare two or three AI responses with a weighted rubric and export the results as CSV.
A practical five-step checklist for checking claims, omissions, and uncertainty.
A guided path through prompt writing, answer review, and fair AI comparisons.
A step-by-step checklist for Search Console, sitemap submission and analytics setup.
Open setup checklist →