Agent

The agent is the configured AI that answers for one app. Everything that shapes what it says lives here.

What shapes an answer

Input	What it does
Brief	Who the agent is, what it may say, when it hands over. The brief composes and publishes into the agent’s system prompt, so edit the brief, not the prompt.
Knowledge	What the agent can answer from: crawled pages, uploaded documents, authored articles.
Help center	Structured articles the agent can quote and link.
Catalog	Structured products or services, with prices and media, so answers carry real detail.
Saved responses	Verbatim replies for the answers that must be word for word.
Suggestions	The prompts offered to a visitor who has not asked anything yet.
LLM	Which model answers, and the limits it runs under.

Before you publish

Test against real questions. The Testing surface runs your agent headlessly so you can see what it would say without a customer on the other end. Publishing is a deliberate step, and until you take it your edits are not live.

In this section

• Writing the brief the seven prompt types and how they compose
• Context and compression what a turn costs, and how to shrink it
• Adding knowledge what it is allowed to know
• Testing and publishing preview, cases and assertions, going live
• Saved responses replies that must go out word for word
• Suggestion pills tappable answers to the agent’s questions

Still to come: the catalog, the help center, per-agent model settings, and MCP servers.