What I like most about Retell AI is its flexibility for building serious voice agents beyond simple prompt-based bots. The platform gives good control over call behavior, speech settings, custom LLM integrations, and structured conversation flows. I also like that it supports advanced use cases like multilingual assistants, external tools, and custom backend logic, which makes it useful for real production scenarios rather than only demos. The interface is modern, testing is convenient, and it is clear that the product is built for developers and teams who want more control over the voice stack. Review collected by and hosted on G2.com.
The biggest downside is that setup can become confusing once you move beyond the basic use case. Some configuration areas, especially around custom LLMs, voices, transcription, and function/tool behavior, are not always intuitive, and it can take time to understand how everything fits together. There is a noticeable learning curve for advanced integrations, and debugging complex voice flows or backend-connected agents can be harder than it should be. I would also like clearer documentation and more step-by-step guidance for production-style setups, especially when combining multilingual transcription, custom backends, and external voice providers. Review collected by and hosted on G2.com.



