Building voice AI? I work in DevRel at @Speechmatics. I share runnable demos, integration notes and tests with real-world audio from voice agents to talking games. Start here: github.com/speechmatics/spee… What are you building, and where does speech fail?

After a week with @livekit @fin_ai , @aquavoice ,@livekit, @cartesia , @AgoraIO, @Vapi_AI and many other builders across SF, one thing is clear: Voice AI has moved past can it talk? The real question is whether it understands well enough to act. Try @Speechmatics. Stress it. Break it. Show us what you build. Here is my summary below 👇 #SFTechWeek #VoiceAI

@Speechmatics vs the Golden Gate Bridge vs F-15s One laptop. Built-in mic. No cleanup. Wind, traffic, crowds, jets overhead. I ran live transcription anyway. Because STT doesnt just need to work in a quiet room. It needs to get names, instructions and numbers right when the real world is doing everything it can to break it. That’s the test. #Speechmatics #VoiceAI #SpeechToText #SFTechWeek

Voice AI is escaping the demo. Stopped by Coffee @cartesia at #SFTechWeek today. Humans still make the coffee. But the voice tech is the interesting part. From @Speechmatics side I think. Great voice AI isn’t just natural TTS. It has to hear accurately, handle noise, interruptions, accents and know when you have actually finished speaking. That whole loop has to disappear. That’s when voice becomes an interface. In SF building Voice AI this week? Come find me. I want to see what you are building and, even better, what still breaks.

Gaming is one of the best stress tests for Voice AI. Players interrupt. Go off script. Say weird things. Change direction constantly. And your agent still has to keep up. At the Conversational AI x Gaming Hackathon at #SFTechWeek today with @playmanogames and Cartorga. Really interesting seeing how both teams are pushing voice and AI into gaming, while from the @Speechmatics side we get to think about the part underneath it all: Can the system actually understand the player? This is where Voice AI gets fun. TIME TO HACK

If voice becomes the default customer interface, speech-to-text stops being a feature. It becomes infrastructure. Great session from @rati_zv and @gavinjoyce at @fin_ai today. The more capable voice agents become at taking real actions, the more important the first layer gets: Did the agent actually understand the customer correctly? That’s exactly the problem we’re focused on with Agent STT at @Speechmatics . Accuracy, turn-taking, interruptions and latency suddenly matter a lot more when the AI can actually do something. #VoiceAI #SFTechWeek #Speechmatics

The more powerful voice agents become, the less room there is for close enough. Great session tonight at #SFTechWeek with @aquavoice , @livekit and @Speechmatics . The demos were fun, but the bigger point was serious: If a voice agent can change your calendar, update systems, or cancel a flight, one bad transcription can have real consequences. That is why accuracy, context, turn-taking and diarization matter just as much as latency. Voice is becoming an interface. Now it has to become one we can trust.