CEO & Co-Founder, Vocal Bridge
Joined February 2012
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Ashwyn Sharma retweeted
#developers, Give your agents a voice! Check-out the @VocalBridge Connector in @flydotio Sprites, our computer for agents!
fly.io/connectors/
Ashwyn Sharma retweeted
Who's going to build the next generation of voice experiences?
Trick question. You are 💜
@scottcjohnston on why developers lead every interface shift 👇
Full talk drops Tuesday youtube.com/@vocalbridgeai
Ashwyn Sharma retweeted
This is gonna be fun!
Meet the judges for Build Personal Agents Hack!
@nikitabase @scottcjohnston @AbhiAiyer @wangzjeff @juecd__ @RhysSullivan @simonfarshid @haakamaujla @esthor @jakubkrehel @dacostajam
RSVP: luma.com/build-agents
Ashwyn Sharma retweeted
Great call with a customer who has several agents writing code as well as two serving as 24x7 sysadmins downstream in the SLDC:
One watches @github Actions for flaky tests and another watches @flydotio deployments. The latter pulls Fly logs with a read-only API token, diagnoses failed deploys, finds root causes, and opens fix PRs that a human reviews.
The agent creates most feature branches. The human’s role has shifted from operator to supervisor: he checks in every 1 to 3 days and approves PRs.
What a great time to build!
Recording this course with @AndrewYNg and @scottcjohnston was a real honor. Great to see the reception it’s been getting!
"Voice gets interesting the moment developers find interaction patterns that only voice makes possible." - @scottcjohnston
We built a @DeepLearningAI course on exactly that. Voice for AI Agents and Applications, with @_ashwyn , @AndrewYNg , and @scottcjohnston.
Most voice infrastructure out there was built for one job: replace humans in contact centers. Answer the phone, follow the script, close the ticket.
Building voice into a real product is a different problem. This free short course is about that, giving your apps and agents an actual voice.
You'll walk away having built:
🎮 a voice-interactive game where voice and mouse clicks run over one channel
🤖 a chat agent that gains a voice in ~10 lines, no touching your prompts, RAG, or tools
📞 an agent that makes real outbound phone calls and streams the transcript back live
Enroll for free: deeplearning.ai/courses/voic…
We'd love to see what you build. Let's go 🚀
Ashwyn Sharma retweeted
Most voice assistants wait to be asked. Kiki listens👂
Ni Ni and Siddharth are planning Maui. Kiki notices early November is rainy season, remembers Siddharth won't travel in the rain, and moves the whole trip to August.
One command. Flights, hotel, minivan, activities - all re-dated and re-priced together.
A calm companion, not a chatbot you interrogate 🎙
Full demo: youtu.be/16KHpuORwbE
Built with @VocalBridge and @Sabre_Corp 💜
ps - Try VB's listening mode ✨
#VoiceAI #VoiceWithVB #BuiltWithVB #TravelTech
Ashwyn Sharma retweeted
Give @claude_code a real computer and let it cook!
So what if Claude wrote files straight onto my disk...
And what if every session got a fresh computer...
And what if my API key never touched any of it...
Well you can. It's Claude Managed Agents on Sprites.
docs.sprites.dev/integration…
Ashwyn Sharma retweeted
#developers, Give @claude_code its own computer - and let it cook! No need to keep your laptop open ;-).
fly.io/sprites
PS - We've already installed @claude_code in Sprites! Just console into your Sprite, type "claude," and GO!
Ashwyn Sharma retweeted
Don’t miss a night out because you’re watching your terminal. Have your coding agent call you instead!
Join the 7-Day Voice AI Builder Challenge here: hubs.la/Q04mvjdN0
Hurry—challenge ends June 30!
Ashwyn Sharma retweeted
🎉 The results are in for the 7-day Voice AI Builder Challenge with @VocalBridge! Out of 500+ iterations and 38 unique submissions, these builders successfully taught AI agents to pick up the phone when they're stuck. 📞
Big congrats to our top 3, after a tight leaderboard & human review:
🥇 Nikolaos Koroniadis
🥈 Eugenia Wang
🥉 Sapna Sangmitra
🎓 Learn the Voice AI Tech that powered the challenge: hubs.la/Q04nWtf90
🔔 Save your spot for the next challenge here: hubs.la/Q04nWj_50
Ashwyn Sharma retweeted
Three voice AI companies.
Five minutes each.
Live demos only.
Applied Advantage AI, Kulanet AI (ravetell.com/), and Taughtful.ai are taking the stage at the DeepLearning.AI Voice AI Hackathon on July 18 for the Voice AI Community Spotlight. They built with voice before it was mainstream. Come see why 🔥
#VoiceAI #VoiceWithVB #BuiltWithVB #AIAgents #CommunitySpotlight
Ashwyn Sharma retweeted
@scottcjohnston said it best: voice is transformative when developers discover new interaction patterns that only voice makes possible 🔥
On July 18 at CHM, 400 developers proved exactly that. Every submission a live demo. 🎙
Congratulations to our winners 🏆
🥇 dia.loc - Yes, Bear Platoon, Plz
🥈 FixTrip
🥉 Terra - Team Dunder Mifflin
👥 Audience Choice - Last Call
✈️ American Airlines Blue Sky Thinking - Vibe as a Service
💳 PayPal Best Dev Tools - Concierge
Full winner stories on LinkedIn 👉 linkedin.com/posts/vocal-bri…
@Sabre_Corp @VocalBridge @DeepLearningAI @AmericanAir @PayPal @LandingAI @AI_Fund
#VoiceAI #VoiceWithVB #BuiltWithVB #TravelTech #Hackathon
Ashwyn Sharma retweeted
12 months ago, agent workloads were a rounding error for @flydotio. Today they’re 66% of revenue from Fly’s top 100 customers - up nearly 12X y/y. A new infrastructure layer is emerging: computers for agents. And Fly is already at its center.
Ashwyn Sharma retweeted
9M+ active #developers - and @ollama is just getting started! The future of AI belongs to open models! Congrats @jmorgan @mchiang0610 and the @ollama team!
Big day for Ollama! When we started, open models and the open source AI ecosystem were in their early days with few believers.
Our belief in open source has never wavered.
With today's fundraising announcement and our 9M+ active builders, we’re ready to scale open models into AI that you can own.
All aboard open models!
🧵
ALT Ollama is here to accelerate open models!
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!
New course: Add voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn.
Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast.
You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function.
Skills you'll gain:
- Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools
- Give an agent the ability to place outbound calls and stream transcripts back live
- Set up voice evaluation to score calls, catch regressions, and improve quality before deployment
Join and add voice to your agents without overhauling your architecture:
deeplearning.ai/courses/voic…
Ashwyn Sharma retweeted
@_ashwyn is one of the most passionate Voice AI researchers I know. He understands the voice stack end-to-end, has the expertise to push the boundaries of world-class Voice AI research, and has poured that same passion into building this product.
Give it a try.
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: bit.ly/4eybXIK
Day 1 at AI Dev 26 was incredible 🚀
A big highlight was @AndrewYNg launching Codream — the future of learning and education powered by voice: codream.ai
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!
We're excited to announce more speakers joining us at AI Dev 26 x San Francisco to share how they're building and deploying modern AI systems.
Prepare to meet engineers, founders, and researchers from @GoogleDeepMind, @AMD, @ActianCorp, @Snowflake, @Replit, @AI21Labs, @FlwrLabs, @Apify, @Oumi_PBC, Okahu AI, @AnchorBrowser, @RefoldAI, @Cline, @Hackmamba, OnMemory AI, and more.
🎟️ Reserve your ticket before prices move to the next tier. Link in bio.
Ashwyn Sharma retweeted
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: vocalbridgeai.com
