Three AI Agent Essentials

Author

Axel Flerén
March 21, 2025

Have you tried to build an AI Agent but failed?

If you follow these three essential points when building an AI Agent for B2C usage, you’ll most likely be able to create a solid Agent.

The three essential points are:

  • Conversational design.

  • Prompt.

  • Knowledgebase.

For the conversational design focus on these three:

  • FAQ loop: Use an LLM tied to the knowledgebase to answer questions via the LLM in the Agent.

  • Sales step: For e-commerce use a product recommendation feature to boost sales, and for other businesses integrating a lead capture is an effective way to boost sales.

  • Support step: If the Agent cannot answer the users questions, provide an option to contact support by collection the users information and creating a ticket for the human support.

For the prompt focus on this core point:

For the knowledgebase focus on the following:

  • Automatic updates: Use as many URL’s as possible to have automated updates of the data sources, to keep the data fresh.

  • Structured data: Mark the data with appropriate tags in order to easily manage the knowledgebase.

  • Data formatting: For manual data in PDF or text, format the data with headers or blankspaces, to make the data more easily digestible for the LLM.

By following these three steps you’ll be on the right path to creating a solid AI web Agent for B2C usage.

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That was all for this post, back soon

Axel