Agents

The Agent Builder lets you create and run your own AI agents.

Creating an agent

Configurable in the agent editor (modal):

• Name and description
• System prompt: defines the agent's behavior
• Model: freely selectable from the tool-capable models
• Tools: from a validated registry, web search and read web page
• Step limit: the maximum number of steps a run may use
• Credit budget: the cost ceiling per run
• Project assignment (optional) and icon

Agents are only created or changed through explicit saving (no auto-save).

System templates

Built-in templates serve as a starting point, for example the Research Agent. Templates are read-only, but they can be run directly and cloned. A clone is your own, freely editable copy.

Cloning a template

Here is how to turn the Research Agent into your own agent:

1. Open the Research Agent and choose Clone; this creates a private, editable copy.
2. Set your own system prompt.
3. Pick your own model.
4. Set your own credit budget.
5. Save your own agent.

Running an agent

In the composer, select the Agent mode, choose the agent you want, and send your request. The run uses the agent's own system prompt, own model, own tools, and limits.

• Every run uses a snapshot of the definition; changes made to the agent while a run is in progress do not affect that run.
• You can follow the progress live as a run trace.
• Costs are billed via credit hold/settle, capped by the credit budget.

Credit budget and results

• Every agent works within a credit budget: the cost ceiling per run. If the budget does not cover the estimated cost, the run does not start.
• After a successful run, the result is automatically stored as a research document with sources.
• You can later attach that research document again as context in a chat (see Research).

What are agents good for?

With the available web tools, agents are especially well suited to research and analysis tasks, for example:

• Research & analysis: market research, news monitoring, academic research, trend spotting
• Content: topic and source research, fact-checking
• Business: competitive, pricing, and market analysis

Example: a market analysis agent

A concrete agent of your own could look like this:

• Name: Vienna Market Analysis
• System prompt: "You are a market researcher. Research the local market in Vienna, summarize competitors, prices, and trends, and back every statement with a source."
• Model: MiniMax M3
• Tools: web search and read web page
• Credit budget: 50 credits
• Result: a research document with the sources found

In the composer, select the Agent mode, choose this agent, and send your request, for example "Analyze the market for specialty coffee in Vienna."

Requirements

Creating and running agents requires an active subscription. See Credits & Subscriptions.