AiRecMark/Intelligence/Use case index
G-01 · Use case indexarchive-recorded · snapshot 2026-09-17

Use Case Index

The use-case layer of the archive: 1324 recorded finder.useCases entries across 448 tools, collapsing into 16 canonical scenarios recorded in the finder index (16 of them matched verbatim in the raw entries). Each entry carries a 1–10 weight as recorded.

Key numbers

Recorded entries
1324
finder.useCases[] · N=448
Tools with use cases
448
finder.useCases · N=448
Distinct strings
1138
finder.useCases[].useCase · N=1324
Canonical scenarios
16
dist/js/finder-db.js · N=16
Modal weight
10 / 10
finder.useCases[].weight · N=1324

Most frequent use-case strings

exact-string frequency across all recorded entries

#Use case (as recorded)EntriesAvg weight
1Data models and integrations138
2Editing, upscaling and cleanup138
3Multi-file agentic edits139
4Prompt-to-app scaffolding139
5Repository-aware context indexing138
6System integrations and triggers138
7Text-to-image generation139
8Workflow automation with AI steps139
9Editing and post-production tooling128
10Long-document reasoning128
11Long-form drafting with brand control129
12Multi-source synthesis with citations129
13Prompt-to-video generation129
14SEO and readability optimization128
15Studio-grade speech / music synthesis129
16Voice and stem control128

Weight distribution

w=41w=615w=768w=8420w=9375w=10445

Recorded weight of every use-case entry (1 = niche, 10 = core fit, as recorded).

Method

  • Population: finder.useCases[] across all 448 archives — 1324 entries at 448 tools; no entries are invented for tools without them.
  • Frequency counts exact use-case strings; the canonical scenario list (16 texts and their counts) is cross-checked against dist/js/finder-db.js at build time.
  • Weights are shown as recorded on the archive's own 1–10 scale; averages are arithmetic means rounded to 0.1.
Data appendix. Source: data/tools/*.json + dist/js/finder-db.js · snapshot 2026-09-17 · method: finder.useCases frequency + weight distribution + canonical parity · aggregates published with method and N. T1 benchmarks recorded: 3 / 448.