Vocal Bridge

[Vocal Bridge @VocalBridge]

and today that same agent is calling developers mid-walk to ask about prod deploys.

The 7-Day Voice AI Builder Challenge is live. Build the agent that knows when to call you.

7 days. Live leaderboard. Prizes.

Starts June 23.

Join the waitlist: https://t.co/WycqwkwWuo

#VoiceWithVB #VoiceAI #agents

[Vocal Bridge @VocalBridge]

Even AI agents need @AndrewYNg for advice. So ours called him.
He happened to be recording a course - this course, which is live today ✨

Check it out here: https://t.co/wbnA01Y5Kf

#VoiceWithVB #VoiceAI #BuiltWithVB

[DeepLearning.AI @DeepLearningAI]

Adding voice to an existing AI agent used to mean rewriting a lot of code. In our new short course, Voice for AI Agents and Applications, built in partnership with @VocalBridge and taught by CEO @_ashwyn, you'll learn to layer voice onto an existing agent using minimal code without touching your prompts, RAG pipeline, or tools.

You'll implement three integration patterns: voice embedded in an app, voice layered onto an existing agent, and voice as a callable tool your agent uses to place outbound phone calls.

Enroll for free: https://t.co/fu2MRs6aVw

[Ashwyn Sharma @_ashwyn]

Voice AI has evolved rapidly over the last couple of years, and it’s exciting to see so much energy around building voice agents.

In this short course, Voice for AI Agents and Applications, we focus on something very practical: how to integrate voice deeply into real products and give voice to your apps and agents.

For decades, we’ve imagined a future where humans interact with technology more naturally through voice. That future is starting to feel much closer, and my hope is that this course helps more builders take the next step from demos to useful, production-ready experiences.

On a personal note, it was a real honor to record this course with @AndrewYNg . Almost 15 years ago, Andrew’s ML course set me on this path. Like millions of others, it inspired me to pursue AI as a career and made me believe deeply in what machine learning could make possible.

A big thank you as well to @scottcjohnston for joining me in the course for a great conversation on what it takes to ship voice in production.

And thank you to the entire @DeepLearningAI team for all the effort, care, and craft that went into making this course a reality.

I’m also grateful to the many thoughtful people who helped shape and bring this course to life, knowing this list is far from comprehensive: Eli Chen Rakesh Utekar Esmaeil Gargari Brendan Brown Hung-Chieh Huang Karena Cai Ray Banks Alicia Cho _Ariana Faustini Timothy Carmody Joe Chen Nicholas Lewis Natalia Lizarazo Farfán @AI_Fund

Huge thanks and congratulations to Jitesh Gupta Aditi Dhar and the @VocalBridge team!

[Vocal Bridge @VocalBridge]

@DeepLearningAI @_ashwyn we may have had to call a developer mid-walk to test this 😎

[Vocal Bridge @VocalBridge]

Yesterday our agent called @AndrewYNg for career advice mid-recording.
Today it's calling developers mid-walk to ask about prod deploys.

Turns out once your agent has a voice, it has a lot to say 😎

In the 7-Day Voice AI Builder Challenge with @DeepLearningAI, build the agent that knows when to call you and when to figure it out itself.

🏆 Live leaderboard. Prizes. Starts June 23.

Join the waitlist: https://t.co/0fxLwPJYZp

#VoiceWithVB #VoiceAI #BuiltWithVB

[DeepLearning.AI @DeepLearningAI]

@VocalBridge @_ashwyn Ready to build with Voice AI?

Join the waitlist for the 7-Day Voice AI Builder Challenge: https://t.co/r9ieI9sSuB

Your mission: build a voice escalation skill that teaches your coding assistant to call you the moment it needs human intervention.

[DeepLearning.AI @DeepLearningAI]

Adding voice to an existing AI agent used to mean rewriting a lot of code. In our new short course, Voice for AI Agents and Applications, built in partnership with @VocalBridge and taught by CEO @_ashwyn, you'll learn to layer voice onto an existing agent using minimal code without touching your prompts, RAG pipeline, or tools.

You'll implement three integration patterns: voice embedded in an app, voice layered onto an existing agent, and voice as a callable tool your agent uses to place outbound phone calls.

Enroll for free: https://t.co/fu2MRs6aVw

[Ashwyn Sharma @_ashwyn]

Day 1 at AI Dev 26 was incredible 🚀

A big highlight was @AndrewYNg launching Codream — the future of learning and education powered by voice: https://t.co/wVm5axdgLe

Huge kudos to the @DeepLearningAI team for shipping Codream 👏

Join us tomorrow at Stage 2 at 1:50 PM as I present @VocalBridge and show how you can give voice to your apps and agents in minutes.

See you there!

[Vocal Bridge @VocalBridge]

@AndrewYNg Grateful for this @AndrewYNg
Here’s to a world where every developer can build great voice UIs with @VocalBridge 🚀 @_ashwyn

[Andrew Ng @AndrewYNg]

I'm excited about voice as a UI layer for existing visual applications — where speech and screen update together. This goes well beyond voice-only use cases like call center automation.

The barrier has been a hard technical tradeoff: low-latency voice models lack reliability, while agentic pipelines (speech-to-text → LLM → text-to-speech) are intelligent but too slow for conversation. Ashwyn Sharma and team at Vocal Bridge (an AI Fund portfolio company) address this with a dual-agent architecture: a foreground agent for real-time conversation, a background agent for reasoning, guardrails, and tool calls.

I used Vocal Bridge to add voice to a math-quiz app I'd built for my daughter; this took less than an hour with Claude Code. She speaks her answers, the app responds verbally and updates the questions and animations on screen.

Only a tiny fraction of developers have ever built a voice app. If you'd like to try building one, check out Vocal Bridge for free: https://t.co/nGrFznAMLh