The author shares lessons from building their own voice AI platform after dissatisfaction with Vapi, revealing hidden costs, real-world latency issues, and white-label shortcomings, and offers a free guide for agency owners evaluating platforms.
Ok so my background is paid media, mostly lead gen. For years I'd watch the same thing happen with every client. We'd run ads, generate solid leads, hand them off, and the client would call like half of them. The other half just sat in the CRM dying. From the paid media side that's brutal bc you're literally paying to fill a pipeline nobody works. So in 2024 I started messing around with voice agents to call the leads automatically. Started with Vapi. Spent way more than I should've figuring out what Vapi is good at and what it isn't. Then it kinda hit me that I was going to be duct-taping Vapi + n8n + GHL + Twilio + a CRM together forever, and any client of mine who wanted the same setup would be on the same hook. Felt more like a science project than a business lmao. So I ended up just building my own platform bc nothing on the market actually solves what an agency needs. Workflow builder, conversations unibox, native CRM integrations, all in one place. Won't pitch it here, just context for why I have opinions. Anyway. Stuff I wish someone had told me when I was shopping: That "$0.05/min" number on every homepage is kinda a lie. Once you stack TTS + STT + LLM + telephony + platform fee, real cost is more like $0.15-$0.30/min depending on the voice. Nobody walks you through that math on the demo. You gotta ask, and tbh most sales teams don't have a clean answer ready. Latency only looks good when the caller cooperates. The 700ms they show you is a perfectly worded customer handing the agent a script. Real callers interrupt and mumble and change their mind halfway through a sentence. Most platforms can't keep up with that. White-label is mostly marketing language. A lot of these platforms call themselves white-label when really they just put your logo in the corner. The actual test: can your client log in, click around the dashboard, look at the URL, open an email notif, and never figure out who's actually powering it. Most fail that test. Anyway I wrote all of it up in a free doc. Side-by-side pricing at 100+ concurrent calls, latency from real deployments, white-label audit, and which platforms a non-technical agency owner can actually deploy without needing a dev. Link in comments Not gated, no email signup, just the doc. Two things I'd do before signing with anyone, even if you skip the guide: Ask them what your pricing looks like at month 6 call volume. The economics break at scale and they will not bring it up themselves. Run a trial before committing. Anyone who won't let you do that is telling you something tbh. Ask me anything specific in the comments if you're mid-shopping rn.
Developer built VoiceOBS, an observability tool for AI voice agents, providing latency breakdowns, sentiment analysis, hallucination detection, and more, integrated with Vapi.
A personal ranking of five AI voice agent platforms (LuMay, Vapi, Retell AI, Pipecat, LiveKit Agents) based on production reliability, latency, voice quality, and scalability after 60+ hours of testing.
A developer built ClawVibe, an iOS app for hands-free voice interaction with AI agents, featuring on-device speech recognition and TTS for low latency.
OpenAI details the development history and safety approach for Voice Engine, from internal testing in 2022 through various limited deployments including ChatGPT Voice Mode and TTS API, emphasizing careful rollout with professional voice actors and ongoing collaboration with policymakers to address synthetic voice risks.