RIGHT NOW: Over 100 searches in Kyiv. In SBU, National Police and Prosecutor General’s Office. Anti-corruption agencies uncovered a criminal group in goverment that covered scam call centers. One high-ranking SBU guy is shooting back at investigators. Reminder: SBU and Prosecutor opened a case against me, but couldn’t prove anything. When I talked about the call center - they called me a Russian agent. Soon the world will know the truth!

For customer-centric organizations, capturing frontline staff's real-world experiences is invaluable, but organizing thousands of handwritten notes and call center interactions can easily overwhelm business teams. In this Customer AI Boost Bite, Giuseppe Ficara of @Amplifon shows how analyzing customer feedback with Gemini Notebook and Gemini automates insights and frees up hours of manual work for store teams. Learn more →

$META IS TESTING HUMAN OPERATORS BEHIND SOME MUSE AI PHONE CALLS The experiment began shortly after Meta launched Muse’s phone-calling feature, according to internal posts seen by Reuters. Some employees have raised privacy concerns, warning that users could share sensitive information without realizing a call-center contractor is involved. Meta says the test is internal for now and is being used to work through safety and privacy protections. If the feature launches publicly, the company says it will include proper disclosures. Source: Reuters

Excited to share that @Ticketmaster is now a Decagon customer. In eight weeks, they launched a consumer-facing voice agent on top of an existing call center, integrating with CCaaS, CRM, and live order systems. Excited to keep building together!

MAI-Voice-2-Flash launches today! Flash is 2x faster than MAI-Voice-2 and 32% cheaper, at $15 per 1M characters. MAI-Voice-2-Flash is also in public preview and powers Dynamics 365 Contact Center, our enterprise platform for call center agents, and reduces GPU costs up to 89%. More here...

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: