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Manual creation gives you direct control over every agent parameter. Instead of going through a guided conversational flow, you fill in the identity fields, choose the language model, and write the initial prompt directly in the platform’s forms. This path is recommended when you already have clarity about what the agent needs to do — for example, when replicating a configuration that already works in another workspace, when creating agents with very specific instructions, or when configuration speed matters more than step-by-step guidance. Any field can be adjusted after creation. There is no permanent commitment when saving — the agent stays in Draft status until you publish it to a channel.

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How to create

1

Go to the Agents section

In the Timely.ai sidebar menu, click Agents. Click the + New agent button in the upper corner of the page.
2

Select manual creation

In the choice dialog that appears, click Create manually. You will be taken directly to the configuration form, bypassing the conversational flow.
3

Set the internal name

In the Name field, write the agent’s internal identifier. This name appears to your team in logs, reports, and the agent list — it is not shown to the end customer. Use something descriptive like “L1 Technical Support” or “Inbound Sales BR”.
4

Define the agent's objective

In the Objective field, describe in one or two sentences what the agent should do. This text feeds the initial prompt automatically generated by the platform as a starting point.Examples:
  • “Handle customers in post-sale, respond about order status, and initiate exchange processes.”
  • “Qualify inbound leads, collect name, email, and budget before passing to the sales team.”
5

Configure the basic options

Three behavior options are available in the creation form:
6

Create the agent

Click Create agent. The agent is created with Draft status and appears in the agent list. From here you can access all the advanced configuration tabs.

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Next steps after creation

With the agent created, configure the details in the available tabs:

Model and parameters

Choose the provider, the LLM model, and adjust temperature and effort for the use case.

System prompt

Write or refine the prompt with the advanced editor, version history, and AI improvement.

Knowledge Base

Connect documents, websites, and Q&A to the agent’s knowledge base.

Internal chat

Test the agent before publishing it to any external channel.