ai-listening

1# AI listening
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3Produce one report: the names of new AI models, products and repositories seen in the last 24 hours, where each was seen, and how strong the signal is. This is collection, not analysis. For search demand behind a name, hand the names to the `seo-new-keywords-research` skill.
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5## Before you run anything
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71. Run the pinned release, never a clone of the repository: `uvx new-term-radar==0.6.1 <command> …` (uv fetches that version from PyPI into a throwaway environment; it needs Python 3.10 or newer and nothing else). Without uv: `python3 -m pip install new-term-radar==0.6.1`, then `new-term-radar <command> …`.
82. Run every command from one working directory, so yesterday's snapshots are there today: `$NEW_TERM_RADAR_DIR` if set, else `~/new-term-radar` (create it if it is missing).
93. Check an AIsa key is available: `AISA_API_KEY`, or the AIsa CLI logged in (`ls ~/.aisa/key`). Without one, only the free signals run (Hugging Face, GitHub, sitemaps), no X posts are read, and nothing judges which terms are names. Say so in the report. A key comes from https://go.aisa.one/yansen-zhu.
104. With no `config.json` in that directory the radar runs on the example list of X accounts and sitemaps it ships with, and says so. Tell the user, and that a `config.json` written there replaces it (the example to start from: https://github.com/zhuyansen/new-term-radar/blob/v0.6.0/config.example.json).
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12## Cost and time: say it, then wait for a yes
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