AI at Tightknit

Tightknit uses AI to surface the knowledge already inside your community. AI reads the content that syncs from Slack and your community site, then helps members find related conversations, get answers to repeated questions, and land on posts with clear, searchable titles. This page lists the AI-powered features, the models behind them, and how to turn each one on or off. Every feature follows the controls described in Data Security & Privacy: customer data is never used to train models, and personal information is scrubbed before any content is sent to a model.

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What AI enables

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Related Discussions

When a new message is posted in a channel, Tightknit compares it against earlier messages in the same channel and replies with links to the most closely related discussions. Matches are ranked by meaning rather than exact wording, so members find prior context even when they phrase things differently. The agent only returns results when the community has an active community site and the related messages have posts on that site. See Agent Settings to enable and customize it.

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AI Answers

When a member asks a question that the community has answered before, the AI Answers agent drafts a reply grounded in those prior discussions and posts it in the thread. Answers are constrained to the surrounding community content, so responses stay specific to your community instead of drawing on general knowledge.

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AI post titles

When Slack content syncs to the community site as a post, Tightknit generates a short, descriptive title so the post reads well and ranks better in search. If a message already has a header, that header is used as the title instead. AI title generation is enabled per feed and can be turned off in the Feed settings.

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Semantic search

Community site search combines traditional keyword matching with semantic matching, so results reflect what a query means and not only the words it contains. This applies to posts, comments, and content resource library items.

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Models

Tightknit runs AI features on third-party models from OpenAI, accessed under agreements that prohibit training on customer data.

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Controlling AI features

You decide which AI features run in your community. The agents are opt-in and off by default, while AI post titles are on by default and can be turned off per feed. New agentic features are introduced as opt-in, so they never act in your community until you turn them on.

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Privacy and data handling

AI features follow the same controls as the rest of the platform:

• Customer data is never used to train, fine-tune, or adapt any model.
• Personal information is scrubbed from content before it is sent to a model.
• Third-party models are accessed under inference-only, training-disabled agreements.

For the full policy, see Data Security & Privacy.