Source-reviewed and quality-gated evaluation articles

Evaluate AI Workflows with Reproducible Evidence

Seven practical AI evaluation workbooks, reviewed against primary sources

8 Reviewed articles
Jul 21, 2026 Last content review
Primary Sources linked

Featured workbooks

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Pricing comparison Jul 21, 2026

Claude vs Gemini API Pricing: 5 Decision Points

Claude's Pro plan ($20/mo) excludes API access; Gemini offers a free API tier with a content-improvement condition. Here's how to evaluate both for your startup.

7 min read Read more →
Claude vs Gemini API Pricing: 5 Decision Points
Guide Jul 21, 2026

AI Meeting Notes Evaluation Protocol: A Reproducible 12-Case Test

Test an AI meeting-note system with controlled cases, a human reference, weighted errors, privacy gates, and a written accept-or-reject rule.

6 min read Read more →
Guide Jul 21, 2026

AI Coding Assistant Data Privacy Checklist: Map Every Repository Surface

Review an AI coding assistant by data flow and product surface, not by a single privacy slogan or content-exclusion toggle.

6 min read Read more →

Start with the job to be done

Evaluate an AI workflow Use a fixed test set, anchored scoring rules, and a documented release decision. Compare architecture options Separate workload fit, evidence quality, access control, latency, and total operating cost. Check our evidence standard See how sources, original worksheets, testing claims, limitations, and corrections are handled.

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Primary-source maps

Current official documentation is linked and each source's role is stated.

Reusable artifacts

Every article includes an original CSV scorecard, checklist, ledger, or decision workbook.

Dated limitations

Each article shows the review date, source count, method, and what was not independently tested.