The best AI model is the one that passes your test.
A practical framework for comparing AI tools on real work, with a reusable scorecard and a cost-per-accepted-result calculation.
A practical framework for comparing AI tools on real work, with a reusable scorecard and a cost-per-accepted-result calculation.
A closer look at the tools, costs, and decisions
shaping the way we work with AI.
A practical framework for comparing AI tools on real work, with a reusable scorecard and a cost-per-accepted-result calculation.
Compare interactive AI tools and programmable workflows by control, billing, repeatability, and operational needs.
A worked example of why the cheaper API bill can produce the more expensive workflow once acceptance and review time enter the calculation.
A practical checklist for turning AI-generated fields into usable records: schema checks, source evidence, failure handling, and a small pilot.
A repeatable review-analysis workflow that preserves source evidence and makes uncertain classifications visible.
Input tokens are only part of the bill. A clear way to estimate output, retries, tools, and human review before you scale.
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What will your AI workflow actually cost?
Compare two scenarios before you commit.
Technology moves fast.
Good judgment
makes the difference.
We look past the launch headlines to find what’s useful, what it costs, and where it fits.
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