Topics is in early access. Sources, manual actions, and notification surfaces will continue to grow.
What’s a Topic?
A topic is an AI-generated grouping of related conversations about the same underlying issue, request, or theme. Each topic carries:Lifecycle States
Topics move through these states automatically based on activity.
A scheduled job checks staleness every 15–30 minutes and fires an in-app notification on transition to stale.
How Topics Are Created
Topics ingest from Slack and Intercom — historical backfill on setup, live ingestion afterward. Each new or updated conversation is classified by LLM into segments; each segment lands in a topic via matching. You don’t manually create topics — they emerge from real conversations.Matching and Deduplication
BuildBetter prevents duplicate topics with a two-stage pipeline:1
Embedding pre-filter
The segment text plus its enriched context (speaker names, companies, channel) is embedded and matched against active and stale topic embeddings. The top 3 similar candidates pass forward.
2
LLM verification
The LLM verifier inspects each candidate’s name, description, source labels, and sample messages, then returns a confidence score. The bar is 0.6 with channel context present, 0.7 without.
3
Link or create
If the best confidence beats the threshold, the segment links to the existing topic. Otherwise a new topic is created.
The Tab View
The Topics tab in/triage lists active and recent topics. Each row shows:
- Title
- Kind badge — Bug (red), Complaint (orange), Feature Request (blue), Feedback (purple), Discussion (gray)
- Status badge — Active (green), Stale (amber), Resolved (gray)
- Description snippet
What’s Documented Here
Topic Detail
Conversation evidence, participants, linked tickets, lifecycle history, and the route/attach/promote actions.
Manual Actions
Split a group into a new topic, move a group to another topic, promote to a project, route with AI.
Sources & Settings
Slack and Intercom setup, channel purpose context, stale threshold and notification settings.
Linear Evidence Tracker
Tracked Linear issues receive evidence-backed comments that update as new customer signals arrive.
How Topics Differs from Clusters
Both are valuable for different reads on your customer base. Topics is your hot-issue surface; Clusters is your strategic-theme surface.