Track 01GDG Brooklyn
AI Voiceee
Vonage Interactive Onboarding Tutorials
“I was able to talk to Bob Marley in Italian.”
8 independent jams for GDG communities · What’s a Coding Jam? →Build with AI.
Build with AI.
Together.
In two hours.
Pick any track. Open the kit. Ship a real AI prototype before the pizza gets cold.
8 weekly jams2hr per sessionAntigravity-driven∞ drop-ins welcome
↑ Eight demos, on a loop. Hover to pause, click to watch.
The Lineup
Eight jams. Open any one.
Each track ships a working app.
How a Coding Jam works →Hero board
GDG chapters jamming
8 chapters · 68 projects shipped
- 1GDG Brooklyn56
- 2GDG NYC4
- 3GDG on Campus New York University3
- 4Michigan, USA1
- 5Solo — New York, NY1
- 6GDG on Campus Concordia University1
- 7egypt1
- 8ISLE-VIEW-MOLLY1
Dashboard
Top 3 countries
3 countries · 70 projects shipped
- 1United States8 chapters68
- 2Canada1 chapter1
- 3Egypt1 chapter1
Fresh from the jam
What builders shipped
Track 01GDG Brooklyn
Vonage - Ezgi
Add Leonardo AI phone agent workshop implementation
“It was super fun to be able to change the voice, tone even accent and mood”
Track 09GDG Brooklyn
VONAGE-AHSAN
An voice agent built on Flue framework with Vonage API for voice.
“It was nice to develop it.”
Track 01GDG Brooklyn
VONAGE-BARSHAT
This project creates a telephone-based AI character that lets people call a Vonage phone number and speak with an AI acting as Leonardo da Vinci.
“How easy it has become to mage AI agent with less code using frameworks. That does the heavy lifting”
Track 09GDG Brooklyn
VONAGE-ADIL_SABIR_AZEEZ
This project is a real-time voice agent that lets users dial a standard phone number to interact with a custom AI persona. Built for developers looking to integrate telephony with streaming LLM pipelines, it serves as a working boilerplate for handling bi-directional audio streams and system prompts. It's a quick way to see how standard voice APIs stack up against modern conversational AI without needing heavy infrastructure.
“I expected setting up telephony WebSockets and call state management to require heavy boilerplate. Surprisingly, Vonage’s Flue framework abstracted away all that complexity out of the box, letting me spin up a fully functional AI voice agent in just a few lines of code.”
Track 09Michigan, USA
APO-HAL-EMS
APO-HAL-EMS (Agnotic Policy Optimizer / Hardware Abstraction Layer For Energy Management Systems) is an architectural framework and universal governance layer designed for critical infrastructure control systems and energy management systems. It provides deterministic validation of automated, AI-driven, and human operator decisions before actions are committed to physical hardware or control networks.
“I thought I'd have to do more work by constantly correcting and re-checking that my prompts were being followed with accuracy throughout the build. Gemini was pretty solid and made the process so much smoother, creating much less work for me due to high precision and follow-through.”
Ready to bring this to your GDG?
The Jam Session Kit has everything: starter repos, the Antigravity codelab, Spec Talk card, and demo videos. You bring the room and the pizza.