> ## Documentation Index
> Fetch the complete documentation index at: https://slackhive.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Audiences

> Customize how an agent responds to different user groups with per-audience prompt overrides.

Each agent can have one or more **audiences** — named user groups that the agent treats differently. Use audiences when the same agent serves multiple teams who need different tone, depth, or focus.

## How it works

Each audience entry defines:

* A **name** for the group (e.g. "Engineering", "Sales", "Support")
* A **priority** — lower number applies first when a user belongs to multiple audiences
* An **instructions** block that is appended to the agent's base system prompt for members of this group — written by you and polished by AI before saving
* An optional **verbose** override — overrides the agent's default verbose setting for members of this audience

When a Slack user messages the agent, SlackHive checks which audience (if any) they belong to and applies the matching prompt override on top of the base system prompt.

## Setting up audiences

1. Open the agent → **Audiences** tab
2. Click **New Audience**
3. Give the audience a name and priority
4. Write the instructions (tone, focus, constraints for this group)
5. Click **Polish with AI** to refine the wording, then **Save**
6. Add members from the right-hand panel

## Priority

If a user belongs to multiple audiences, the one with the **lowest priority number** wins. Use this to create a catch-all audience at a high number (e.g. 100) and more specific overrides at lower numbers (e.g. 10).

## Access control

Configuring an agent's audiences requires **editor access to that specific agent** — a global editor role alone is not sufficient. Admins and superadmins can always manage audiences for any agent.

## Verbose override

Each audience has its own verbose toggle. When set, it overrides the agent-level verbose setting for members of that audience. This lets you give one group streaming step-by-step output and another group clean final-answer-only responses from the same agent.