the counterintuitive thing is more files actually works better than fewer
monolithic instructions degrade over the conversation but modular ones stay fresh when you read them at the right time
🚀 Hiring: Customer Support Engineer at Vapi
Debug production issues, help customers succeed with voice AI tech.
Need:
1+ year dev experience
Strong debugging skills
Clear communication
LLM experience (bonus)
DM your resume + projects!
#hiring#VoiceAI
At Vapi, we're obsessed with the quality of conversation. But the most human-like AI is useless if the line drops.
In the latest blogpost we cover how we achieved 99.99% uptime while servicing millions of calls.
I know how to use Vocode action agents (actions) since yesterday, however as of this morning, I feel otherwise. Need to go deeply into the internal workings of Vocode's action agents.
However, I must admit that these action agents are really strong.
We’re hosting an AMA on X Spaces this Monday at 5PM PST.
Join us for a live Q&A on building with Vapi, scaling voice infrastructure, and what’s next in voice-powered applications.
If you’re building agents, tools, or just curious - tune in.
📞 Launched today: Vapi Outbound Campaigns
Outbound calling has been one of the top Vapi use cases since launch.
Teams were building their own workflows with CSVs, custom queues, and retry logic. So we productized it.
Introducing Vapi integration with @Inworld_AI.
TTS‑1 is Inworld's first text-to-speech model, built for real-time latency, high speaker similarity, and multilingual support.
Now available as a voice provider in Vapi.
Try it today in Vapi dashboard.
Last night's YC AI Startup School afterparty was absolutely incredible.
150+ AI founders and builders packed into Vapi HQ in San Francisco for an evening that perfectly captured why this community is so special.
Full Jordan interview recording in the thread 👇
news to share friends- we've raised 20m from bessemer.
it's been an incredible year. voice ai has become real. last year, when we started, it seemed it would take at least a couple years to feel like you're talking to a person but like everything in AI, things have accelerated.
it feels really beautiful and exciting to imagine in a couple years we'll manifest our dreams with our words. i'm so curious how kids born post-voice AI will feel. what bright futures they will create?
as for us, there's lots to be done. this revolution needs a better platform. models are magic, in the same sense that ibm mainframes and punched cards were magic. last 50 years have shown, reducing the schelp to the magic, that's the unlock to changing the world.
our developers want:
* better uptime
* reliable agents
* faster development cycles
uptime: there's only a couple hundred people in the world who know how to scale real-time distributed systems. it's the hardest freakin systems problem.
reliable agents: love o1 but that's paradigm for seconds. we operate in ms domain, real-time reasoning. distillation gets you far but not enough, lot more juice to extract.
faster development cycles: telephony was invented before the internet. integration into these systems is archaic. that's even before you think about development process of agents.
so much to build and everything feels unknown and risky, but someone wise once said we do these things not because these are easy, but because they are hard.
there's a 3T customer service industry waiting for us. let's fucking go!
ps- we're HIRING. DMs open. we serve 100,000+ developers making millions of calls every week.