AI Control
AI Control is the one place to manage AI for a server. Open the dashboard sidebar and pick AI Control under your server. It brings together your token usage and budget, how replies read, the first-message toggle, the memory review queue, and the results your team is getting.
Pro capability
AI is part of the Pro plan. On Free and Community, AI Control opens in a read-only preview so you can see exactly what Pro does for you. Nothing is saved and the memory queue stays empty until you upgrade.
You need the Manage Settings permission (an admin role) to change anything here. Read-only staff can view the page, but the controls are disabled for them.
Usage and tokens
The usage panel shows how much of your monthly AI token budget you have used and how much is left. AI Assist, the AI flow nodes, and the automation AI reply action all draw from this same pool.
Budget meter
Tokens used this month against your plan's allowance, so you always know where you stand before the cycle resets.
Bring your own key
Add your own AI provider key to run on your account. Usage is still metered and shown, and your own key removes the monthly cap.
Here is the AI token budget each server plan includes per month:
| AI budget | Free | Community | Pro |
|---|---|---|---|
| AI tokens / month | 0 | 0 | 5,000,000 |
Configuration
The configuration panel sets how AI-drafted and auto-sent replies read for this server. These defaults apply anywhere the bot writes a reply.
| Setting | What it does |
|---|---|
| Reply style | Concise, friendly, formal, or apologetic tone for AI replies |
| Keep replies brief | Nudges the model toward shorter answers by default |
| Reply to first customer message | Posts a grounded reply the moment a customer opens a ticket |
The Reply to first customer message toggle is the one-click way to answer new tickets. When it is on, a customer's first message gets a reply grounded in your knowledge base, with no flow or rule to build. For more control, build a rule on the On customer's first message trigger instead. See Automations.
Start in draft, then send
If you want a human to approve first replies before they go out, build the reply with an AI Auto Reply in draft mode rather than using the toggle. Drafts post a private, staff-only suggestion with Send, Edit, and Discard buttons. See AI Assist.
Memory review
Memory review is the approval queue for what the assistant is allowed to recall. When a ticket is resolved, its question and answer become a candidate memory entry. Candidates wait here until an admin reviews them, and only approved entries are ever used to ground a reply.
Each candidate shows a title, the question, and the answer that closed the ticket. For each one you can:
Approve
Keep the saved answer as it is. From now on it can ground future replies.
Edit
Fix the wording first, then approve. The edited version is what future replies are grounded in.
Reject
Drop it. Rejected entries are kept for the record but never reused.
Per-server and never auto-used
Memory is scoped to your server and is never shared with other servers, and none of it is ever used to train an AI model. Nothing a customer said is reused in a reply until an admin has approved it here. Saving a candidate is a cheap field capture, not a fresh AI write, so building your memory costs you nothing extra.
Results
The results panel shows how AI is performing for your server over the last 30 days, built from real usage and staff feedback. Values with no basis yet read as no data rather than an invented number.
Staff shape these numbers as they work: a thumbs up or down on an AI reply, or an edit to a draft before sending, shapes which approved answers the assistant reuses. It never trains an AI model, and none of it costs extra tokens. See AI Assist for how the feedback loop works.
Related
- AI Assist: the AI capabilities in full, from grounding to memory
- Automations: the first-message trigger and AI reply action
- Knowledge Base: the articles AI answers ground in
- How Billing Works: plans and AI token budgets