While AI conversations were dominated by hype and dramatic narratives, I focused on something more practical: connecting Marketo with LLMs and applying it for basic use cases.

If we are using ChatGPT across our daily lives, what if the user is not us and it is Marketo?

Over the past 1.5 years, I went deep into APIs, starting with basic dataset pushes through Postman, experimenting with tools like Flowsteps(dot)io and n8n, and eventually attempting direct integrations.

Traditional if-then logic in marketing automation does not scale for complex decision-making. This does not means that a predictable, reliable and deterministic workflow is ‘less’ than an LLM-driven workflow. Both are simply, different.

Using an AI-enabled workflow does not automatically increases the maturity of a workflow. But when it does, it’s huge.

When you embed LLM nodes in workflows, there is an immediate and useful upgrade.

There can be a dozen different variations we spell a Country wrong, but LLM can always answer the correct one – leaving the need to configure brittle logic.

Also, recently, I shared a meta-workflow in a user group on building a Task AI Agent using Marketo and OpenAI.