Methodology
How the library is built
Every pattern, example, and score on this site comes from a dated, sourced observation. This page documents the scoring rubric, the identification pipeline, and the bar a candidate behavior has to clear before it becomes a published pattern.
The Signal Score
Every captured item is scored 0–10 on four dimensions by an AI triage pass, then combined. Scores are triage machinery — they decide what reaches a human for approval and never appear on reader pages. This page is the only place they're discussed.
| Dimension | What it measures |
|---|---|
| Relevance | How directly this bears on human–agent interaction design and agentic development. |
| Novelty | Is this a new behavior, or another instance of a known one? First sightings score high. |
| Shareability | Would a designer or builder forward this to a colleague? |
| Evidence | Screenshots, shipped product, documentation — versus claims and demos. |
≥ 7 story-worthy — a candidate for coverage · ≥ 8 captured into the library even without a story
The Identification Pipeline
- Sighting. Scouts (and readers) capture a dated, sourced observation. Summaries are written in our words; we never store source text beyond a short quote.
- Triage. Each sighting gets a one-sentence problem statement — "this solves the problem of ___" — and is tagged to existing patterns, or marked unclassified.
- Clustering. Unclassified sightings that describe the same problem accumulate. Three or more from at least two vendors become a named candidate on the Watching list.
- Promotion. Candidates that clear the promotion bar (below) get a full pattern page.
- Re-scoring. Published patterns are re-scored quarterly from sighting velocity: emerging → established → contested → fading. Status changes are logged in each pattern's changelog.
The Promotion Bar
A Watching candidate becomes a published pattern only when all of these are true:
Naming Rules
Sources & Copyright
Sightings come from official documentation, changelogs, launches, demos, community discussion, and reader submissions. Every claim links its source and carries the date the behavior was observed — not the date we scraped it. Summaries and annotations are our own words. Screenshots are stored for commentary and criticism with source attribution.