Resources

Guides, methods, benchmarks and datasets by topic. Each one says what it is for, how it works and where it stops.

Building products with AI agents

  • Running agent work through gates

    A guide to running coding agents through a scheduler, a gate and a main check, so that one person still decides what goes live.

    Guide ·

  • Governance rules for coding agents

    A guide to a rulebook for coding agents: one entry file, a reading order, safety limits, a task for every change and a check that runs before the merge.

    Guide ·

  • Evals for agent output

    A guide to an eval suite for agent output: one decision boundary per case, self-contained prompts, adaptive repetition, changes on repeated evidence only.

    Guide ·

Search intelligence

  • Measuring a search snippet by width

    The method behind the search snippet preview: a title and a description are measured in pixels against the result's width and line limits, not counted.

    Method ·

  • Sizing and reading an A/B test

    The method behind the A/B test calculator: a two-proportion z-test sizes a test from the baseline and the smallest lift worth detecting, then reads it.

    Method ·

  • Classifying search queries by topic

    A method for classifying search queries with term lists: topic, intent and confidence per query, reportability apart from the match, and a review queue.

    Method ·

  • Ranking domain name candidates

    A method for ranking domain name candidates: fluency, relevance, length and age in one score, availability first and a language model as a second opinion.

    Method ·

  • Building a competitor landscape corpus

    A method for a competitor landscape corpus: seed landscapes, frontier expansion and deterministic seed selection; membership is discovery, not proximity.

    Method ·

  • Evidence separation rules for SEO data

    A method for evidence classes in SEO data: an actual is not an estimate, a rank is not an average position, a goal is not an outcome, missing is not zero.

    Method ·

  • Blind evaluation of a domain-similarity model

    A method for blind evaluation of a domain-similarity model: a stratified pair sample, blind labels, integrity checks, confidence intervals, disagreements.

    Method ·

  • A fail-closed market snapshot contract

    A method for a market snapshot contract: a complete marker and run id, a hash-bound source set, immutable once verified, and a parity benchmark.

    Method ·

  • Forensics on defective SEO exports

    A method for forensics on defective SEO exports: the state file checked against the bytes, defects classified before ingest and the raw export untouched.

    Method ·

  • Keyword taxonomy with QA gates

    A method for a keyword taxonomy: signals before intent, location as a facet only, a person-name audit as diagnosis only and growing samples as the gates.

    Method ·

UX and content for large sites

  • Demos as static snapshots

    A guide to demos with no server: one export per snapshot, allowlisted fields, a closed schema, a redaction scan and a page that works without the file.

    Guide ·

  • Design tokens from JSON to CSS

    A guide to design tokens: decisions in one JSON file, generated CSS custom properties, no raw colours, tested contrast pairs and vendored source tokens.

    Guide ·