Building Real-Time Voice Agents w/ Agora
Overloaded with handling high call volumes, meetings and follow-ups?
Voice is becoming the most natural interface, but building a good voice agent is still hard. In this hands-on hack session, come build and test you own real-time voice agent using Agora’s no-code platform, and see how voice automation behaves in real conversations.
🔍 Choose Your Problem
Bring your own problem statement, or take inspiration from common challenges such as:
Voice automation for high call volumes
Internal voice assistants for teams and shared services
Improving conversation quality, responsiveness, and latency
Come prototype your own working real-time voice agent capable of live conversations using speech-to-text, reasoning, and text-to-speech.
…and get bonus api credits for you to experiment with and for your own use cases post-session!
🗓️ Schedule
👋 1330 – 1400: Registration & Setup
🎙️ 1400– 1430: Kickoff & Platform Overview
Practical voice agent concepts
No-code platform walkthrough
What a “good” voice agent looks like
⚡ 1430 – 1630: Build Sprint
Individual or team hacking
Live mentor support from Agora
🎤 1630 – 1700: Demos & Sharing (time permitting)
⚠️Some Important Notes
Please bring an internet-facing laptop for the session.
Prepare sample or sanitised data relevant to your problem statement to maximise build time.
This session requires a minimum number of participants to proceed and may be cancelled if the threshold is not met by 13 Jan.
As this is a hands-on build session, please update your RSVP in advance if you're unable to attend. Last-minute cancellations or no-shows are strongly discouraged.
👀More About Agora
Agora (NASDAQ: API) powers real-time voice infrastructure used globally and provides a no-code Convo AI Agent Framework for building responsive voice agents without heavy engineering.
👉 Learn more about Agora’s Conversational AI here!
More About the Series
Tinker Time is Lorong AI's hands-on meetup combining guided workshops with open collaboration time for builders to share code, troubleshoot together, and experiment with AI development techniques.
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