HubSpot Explains How To Build AI Agents
HubSpot Marketing Blog provides guidance on building AI agents, which can automate tasks and make decisions independently. This technology is growing in adoption, with one in four AI users having used an agent.
Original reporting · blog.hubspot.com
Original: “How to build an AI agent: from goal to live deployment”
Read “How to build an AI agent: from goal to live deployment” at HubSpot Marketing Blog →
How this was written. Content Delta wrote this article with a language model from HubSpot Marketing Blog’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from HubSpot Marketing Blog’s report
- AI agents can automate tasks and make decisions independently, improving workflows and efficiency.
- HubSpot provides a no-code AI agent builder for its users, making it easier to build and deploy AI agents.
- AI agents are distinct from chatbots and rules-based automation, with different problem-solving capabilities and functions.
Marketers and sales teams are increasingly using AI agents to automate tasks and improve workflows, according to HubSpot Marketing Blog. An AI agent is software that uses an AI model to work toward a goal autonomously, without human input.
AI agents can choose among approved tools, review results, and decide what to do next until they finish a task or reach a set limit. They need pre-defined goals or functions, such as reviewing a campaign's performance and recommending optimizations.
HubSpot users have access to a no-code AI agent builder, which allows marketers to describe the automation they want to create and the builder will do the rest. This makes it easier for teams to build and deploy AI agents.
AI agents are different from chatbots and rules-based automation, with distinct problem-solving capabilities and functions. Agents can make decisions on their own and problem-solve independently, while chatbots respond to queries or conversations.
Rules-based automation performs a predefined task based on a set trigger, such as sending an email when a buyer changes deal stages. The choice between AI agents, chatbots, and automation depends on the specific use case and requirements.
Effective custom AI agents need four building blocks: a repeatable job, relevant data, a clear starting point, and a measurable result. These blocks help marketers turn an idea into a workflow they can put to use.
Questions and answers
What is an AI agent?
An AI agent is software that uses an AI model to work toward a goal autonomously, without human input.
How do I build an AI agent?
HubSpot users can use the no-code AI agent builder to describe the automation they want to create and the builder will do the rest.
What are the four building blocks of an AI agent?
The four building blocks are a repeatable job, relevant data, a clear starting point, and a measurable result.
