Your license renews automatically as long as you are a paying member of the Cat Knows community.
https://www.skool.com/cat-knows-1423
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AI Chat Settings
CatKnows provides AI access through your license. No API key needed. Usage is included with your CatKnows membership.
How many SQL queries the AI can run per question
Request History
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Time
Provider
Model
Duration
Tokens
Prompt
Response
Status
Community Access Grants
As a community owner, grant access to members so they can see this community in their app.
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Profile Images
Fetcher Speed
Random wait between fetcher requests (default: 4–10 sec). Lower = faster but higher risk of rate limiting.
Chat Data
Fetches DMs and group chats from your Skool community. This data is stored locally only. Chat data includes messages from all participants. Disabled by default.
Security
When unchecked, stored Skool credentials are deleted on every startup. You will need to login again each time.
Telemetry & Bug Reporting
Sends: app version, OS info, DB size, error counts, license slug, community slug, fetcher state. No credentials or cookies.
Sends error details immediately when crashes happen. Must be enabled manually.
Enables detailed logging. Use when asked by support — increases log size.
These are advanced settings. You don't need to change anything here unless you know what you're doing.
Pipeline Status
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How It Works
Deep Analysis discovers member interests by analyzing their community memberships across Skool.
1.
Profile Discovery(automatic) Member profiles are scanned for their "groups_member_of" list during regular fetching.
2.
About Page Fetching(automatic, ≥10 shared members) Communities that appear in enough member profiles get their about page fetched for classification.
3.
AI Classification(manual trigger or auto when stale) Community descriptions are sent to the AI for category and tag classification. Use "Refresh Labels" above to trigger manually.
4.
Interest Aggregation(on-demand per member) When viewing a member's profile, their community memberships are matched against classified labels to compute interest scores.