G2

Mohit N.

Full Stack Developer

Computer Software

Small-Business (50 or fewer emp.)

10/1/2026

"Streamlined Voice Agent Prototyping for Client Intake Workflows"

4.5/5

What do you like best about AssemblyAI?

I value the Voice Agent Playground because it lets me test conversational workflows before committing to a full application implementation. For a freelance software development project, I configured a client-intake assistant with a custom system prompt, an introductory greeting, the Eve (US English) voice, and minimum and maximum silence thresholds. I also configured a custom `capture_project_requirements` function to explore how project information could be collected in a structured format. During testing, I used follow-up questions to clarify the application's user types, appointment scheduling requirements, notifications, and payment expectations. Being able to review the conversation directly in the browser made it easier to assess the agent's questioning flow and refine its instructions. This shortened the feedback loop during prototyping without requiring me to build the complete client-facing interface first. Review collected by and hosted on G2.com.

What do you dislike about AssemblyAI?

The main area I would improve is the debugging visibility during voice-agent testing. When a technical term is misunderstood or a follow-up question does not produce the expected result, it can take several iterations to determine whether the issue comes from speech recognition, the system prompt, or the agent's interpretation of the conversation. A clearer, step-by-step trace of recognized speech, tool-call decisions, and the resulting conversation state would make troubleshooting more direct. I would also appreciate more explicit guidance for validating custom functions, including expected inputs, outputs, and failure cases. These improvements would make it easier to assess reliability before moving a prototype into a production application. Review collected by and hosted on G2.com.

What problems is AssemblyAI solving and how is that benefiting you?

In my freelance software development workflow, I use AssemblyAI to explore how a voice interface could collect project requirements through a natural conversation. The prototype is designed to gather details such as the type of application, intended users, required features, appointment-management needs, notification preferences, and payment expectations. Instead of preparing a long, fixed questionnaire, I can test whether the agent asks relevant follow-up questions when a client's initial description is incomplete. This helps me identify gaps in the intake process and improve the conversational instructions before building the application's frontend and backend. It also gives me an early way to evaluate whether voice-based requirement gathering fits the proposed project. Review collected by and hosted on G2.com.