A FluentCommunity install fills up fast. Half a dozen spaces, hundreds of posts, threaded comments, a few course modules, and a member directory. Newcomers ask the same onboarding questions in week one, and the answer is always already in a pinned post or a previous thread they cannot find. Without a way to surface that history, the community lead ends up as the search engine.

SleekAI maps the FluentCommunity custom tables, including fcom_spaces, fcom_posts, fcom_comments, and fcom_users_meta, into the chatbot prompt. Add an OpenAI Files vector store of up to one gigabyte per file and the bot can retrieve relevant posts and replies by semantic similarity, so a question about Stripe Connect onboarding finds the real thread from last March even if the visitor used different words.

Display conditions scope each bot by space, by URL pattern, or by member role, so a Stripe-focused space gets a different system prompt than the general help space, and only logged-in members can see the private-thread-aware bot. Every conversation is logged with the originating space ID, so the community manager can see which onboarding questions deserve a pinned post and which threads should be promoted.

Communities collapse when the institutional knowledge they accumulate becomes impossible to find again. The first month of a thriving FluentCommunity site looks great because every question is fresh. By month six the same questions are being asked weekly and the only people who remember the original answers are the burned-out founder and two long-time members.

A community-aware chatbot is the lowest-effort way to keep that knowledge alive without making someone a full-time librarian. SleekAI reads the same fcom_spaces and fcom_posts tables that FluentCommunity itself queries, so the bot can answer with the actual pinned post about Stripe Connect that the moderator wrote in March instead of inventing generic startup advice. It can scope itself to a single space, respect the member's tier so it does not leak paid content to free members, and log every conversation with the originating space ID so the community manager has a backlog of pinning candidates.

Done well, the bot becomes a multiplier on the work the community already did, not a substitute for the human voice that holds the room together.