# Create & Configure an Agents

In Questera, one of the most empowering features available to marketers and product teams is the ability to create and configure AI agents entirely on your own terms. This capability goes far beyond using a pre-built agent — it allows you to take full control of how your AI behaves, what tasks it performs, and how it aligns with your unique marketing objectives. Whether you choose from Questera’s suite of powerful, ready-made agents or start from scratch to build something fully customized, this flexibility opens the door to truly personalized automation.

For marketers, this feature is a game-changer. Imagine being able to design an agent that understands your specific customer journey, talks in your brand’s voice, and carries out complex workflows — from sending lifecycle emails to running growth experiments — without needing a dedicated developer or engineering team. You can define how the agent works step by step, choose the abilities it needs (like segmentation, data analysis, or ad generation), and tailor its core instructions to fit real-world scenarios your team handles every day.

This level of customization dramatically reduces manual work, speeds up campaign execution, and ensures your marketing strategies are executed with consistency and intelligence. It’s particularly useful for teams looking to scale fast, experiment often, and optimize constantly — all while keeping the human touch in every interaction. With Questera, AI becomes an extension of your team — not just a tool, but a strategic partner tailored to your goals.

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.questera.ai/questera-ai-platform/ai-agents/create-and-configure-an-agents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.