{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"START","title":"START: Alex Kolchinski, Founder & CEO, ThunderPhone \"Voice AI that nails the calls others fumble\"","html":"","width":"100%","height":180,"duration":756,"description":"AI coding agents learned how to build voice AI from the internet. That might be the problem.\n\nThe standard approach is simple. Transcribe the caller. Send the text to a model. Turn the answer back into speech.\n\nThree steps. Countless posts and repositories. Repeated so often that coding agents tend to reproduce the same architecture.\n\nAlex Kolchinski's bet at ThunderPhone is that the default is already becoming obsolete.\n\nInstead of one fixed pipeline, his team mixes and matches models. Sometimes several cheaper ones instead of one expensive one. Sometimes audio goes straight to the LLM, skipping transcription entirely.\n\nEvery decision comes down to three competing priorities: quality, speed, and cost.\nAlex calls it the Ferrari approach. While other teams have good reasons to build systems that work well enough to scale, ThunderPhone focuses on squeezing more performance out of every component.\nAnd there's a catch. Alex doesn't expect that technical advantage to last forever. Foundation models keep improving, and coding agents are beginning to figure out better architectures themselves.\n\nUntil then, the edge is knowing what to build differently.\nThunderPhone: \"Voice AI that nails the calls others fumble\"\n\n🎙️ Alex Kolchinski, Founder & CEO, ThunderPhone on Fondo START  \n\n\n01:07 Why ThunderPhone moves beyond the standard voice AI pipeline\n01:42 Navigating the tradeoff between quality, latency, and price\n02:35 Why Storm prioritizes getting real customer calls right\n03:45 How software and B2B changed Alex's founder playbook\n04:45 Why the traditional three-step voice AI pipeline is becoming obsolete\n05:00 How voice AI is outperforming humans on transactional calls\n06:32 Why ThunderPhone isn't training its own foundation model\n08:15 How two founders built the platform in 6–12 months and where coding agents fall short\n09:30 The Model T versus Ferrari approach to building voice AI\n10:15 Spark at 2¢, Bolt at 5¢, and Storm at 9¢ per minute\n‍\nCheck out thunderphone.com","thumbnail_url":"https://img.transistorcdn.com/q-E1hh7K6IS4AfZiNy2p4MYVGcUOO8lQP92h8QbOEOA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NzVj/MDEzNjkxNjU1N2Uy/NDFhMDQ3M2ZhNWI3/NWY0MS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}