Most AI voice agents sound great in a demo. Then a real customer calls and they fall apart.
The drop-off isn’t a fluke — it’s a design problem. In this session, we’re opening up the hood on Agent Studio (formerly launched as FlowbotAI) to show you exactly why some agents hold up under real-world conditions and others don’t.
We’ll walk through the five components every production-ready voice agent is built on — the multimodal LLM, neural VAD, the prompt, the knowledge base, and tools — and show you how they work together on every live call.
No transcription lag. No talking over callers. No dropped info. By the end, you’ll know how to evaluate any AI voice platform like an engineer — and explain the difference to your customers in plain language that closes deals.
What you’ll learn
- The five components of every Agent Studio agent and what each one does
- Why audio-direct (multimodal) architecture produces faster, more natural calls
- How neural VAD produces human-like turn-taking — and where traditional VAD breaks down
- The role of the prompt, knowledge base, and tools on every live call
- How multi-stage orchestration keeps complex conversations reliable and predictable
