Spent the last month deep in the AI voice agent rabbit hole.

What started as a simple experiment has turned into 7 different AI call assistants, with another one currently in development.

Some of the capabilities I've implemented so far:

• Inbound call handling• Outbound calling workflows

• Lead qualification• Appointment scheduling

• Rescheduling and cancellations

• SMS confirmations and follow-ups

• Reminder calls before meetings

• CRM updates and record management

• Call transfers when needed

• Multi-step business workflows

The most interesting challenge wasn't getting the AI to talk.

It was getting it to remember.

One of the assistants can remember previous conversations across multiple calls, retrieve historical context, and continue the conversation naturally instead of treating every call like it's the first interaction.

Building these systems taught me that the hard part isn't the voice model itself—it's the orchestration behind the scenes. Memory, workflows, CRM integration, scheduling logic, error handling, and all the small edge cases end up being where most of the work happens.

Still a lot to improve, but it's been fascinating seeing how far AI voice technology has come in such a short time.

Curious what everyone else is building in the voice AI space right now.

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Spent the last month deep in the AI voice agent rabbit hole.