Real-time voice AI is young, and the tools and infrastructure that will power its future are being built right now.

After working with and speaking to hundreds of teams building voice AI agents, we ve learned a lot.

Most AI apps eventually hit the same wall. They forget users unless you build a ton of infrastructure first. This means every AI dev eventually will end up building this infra to provide the best user experience needs for their agent and app.

What rolling your own really means:

• Vector DBs + embeddings + tuning

• Extracting memories from conversations (and resolving conflicts)

• Designing user profile schemas and keeping them in sync

• Managing long chat history + summarization pipelines

• Juggling different formats across OpenAI, Claude, etc.

• Hosting, scaling, backups, monitoring

What AI Dictation Tools Actually Are

What AI Dictation Tools Actually Are

Hi everyone,

One year ago, we launched on this platform with a vision to transform voice AI. Today, Vapi has grown to 100,000+ developers and recently raised our $20M Series A.

Hi everyone,

One year ago, we launched on this platform with a vision to transform voice AI. Today, Vapi has grown to 100,000+ developers and recently raised our $20M Series A.

We ve just shipped some big updates to the Layercode private beta:

Redesigned Dashboard UI

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi

Hey Product Hunt, Musa here.

We re entering a new era not just of models, but of agents.

But there s a missing piece nobody talks about: the infrastructure layer that keeps them alive, efficient, and accountable.

Hi Everyone!
Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use.
Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs! 

Hi Everyone!
Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use.
Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs! 

Everyone s been talking about AI Agents over the past year.

But the real leverage doesn t come from the agent itself. It comes from the context you provide:

There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.

What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site.

On their livestream today, OpenAI just released a bunch of new tools for reliably building and using AI agents. From what I can tell, this is what's new-

New APIs:

• Responses API - a new multi-modal API that builds on chat completions to allow for the next-generation of tool calling, starting with the new tools announced today.

Exciting News! We invite you to an exclusive preview of Chikka.ai! Our newest AI Voice Agent will surely transform how you get user insights!

Whether you are curious about customer stories, employees ideas, or friends' opinions, you can easily set up your own AI Interviewer to engage warmly with real humans and ask great questions in dynamic natural conversations. After that, you are just one click away from actionable insights and smart recommendations.

I'm looking for tools to help me brief clients and get their answers in voice format. Recently, I found @Yapz It really impressed me. Simple to use, the delightful format of briefing people, only a positive experience. The only downside is that I cannot see the whole call transcript, which is crucial for me. Are there any free/cheap AI alternatives that makes summaries of answers and saves transcripts at the same time?

I really enjoyed this breakdown by @raphaelschaad and @aaron_epstein (YC partner):

Me First

ChatGPT & Cursor