Online research for a macOS app before building it, run as parallel researcher subagents, saved to docs/research/. Use when the user asks what to build, which features matter, how the best apps in a category work, how a macOS API or integration works, or wants a feature comparison.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Research
Research answers three questions before code exists: what the best apps in
the category do, what users love and hate about them, and how macOS lets
you build it. The output feeds `app-brief` and `user-stories`.
## 1. Frame
Write the question in one line, and the decision it informs ("which
features go in version one", "Carbon hotkeys or an event tap"). If the user
gave only a category, the question is "what makes the best <category> app
on the Mac".
## 2. Fan out
Start one subagent per track, in parallel, with the brief below. Pick the
tracks that fit. Four is typical. Market and Reviews always run. Reviews
covers many apps: give each subagent 3 or 4 apps, or the 600 words run out.
| Track | Finds |
| --- | --- |
| Market | The 5 to 8 best apps in the category, their price, platform, and headline features |
| Reviews | Per app: what people like and what they dislike, from App Store and Mac App Store reviews, Reddit, Hacker News, forums, and "switched from X" posts |
| Features | The full feature list of the 2 or 3 leaders, from docs, changelogs, and help pages |
| Design | Screens, interaction details, and keyboard shortcuts of the leaders |
…
The line at the top of this page pins the label git:20261027.b1054fc, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_76pwliioaiitlotz
GET https://markdownregistry.com/api/v1/resolve?ref=tomcounsell/ai/research
GET https://markdownregistry.com/api/v1/blob/bf44f027b1f3041623bcfa8384d7dd8b5da4562ad9c529c935e75ba54f7802bb
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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