in 2026 either you own the tech stack and the hardware on which you are hosting your AI automation or you are exploited for data, for knowledge and gated. Are you not smart enough to understand that in 2026 your data and your actions are the only value left. each person's actions and knowledge is converted into a product aka GPP (Gross Personal Product not Gross Domestic Product)

Feather (YC-backed) was one of the first platforms I came across while exploring the Voice AI space, and it made me realize how quickly this whole area is evolving. I’ve been looking into how people are using calling agents inside their communities and businesses, and the workflow has become way easier than even a year ago. What really stood out is how simple it’s getting to spin up voice workflows without heavy infra or complex setups. If anyone here is experimenting with AI calling or planning to integrate voice into their funnels, would love to hear what you’re testing or building.

I’ve been experimenting with voice agents recently and one platform I’ve been using is Feather AI. The main reason I picked it is because: - It handles call routing + workflows pretty cleanly - Latency has been surprisingly low - The tooling feels built more like infra than a wrapper - Easy to push structured output into CRMs and other systems Still very early in my learning curve, but so far it’s been the most stable option I’ve tried for production-like call flows. Curious, What platforms are you using right now for building voice agents, and why? Would love to compare experiences and check out - Feather Ai

I've been building and testing voice agents lately. 90% still sounded like robots having a stroke. The problem wasn't the technology. It was the 3-sentence prompt someone threw together in 5 minutes. Here's what I learned: Your voice agent is only as good as its brain. And that brain? It's your prompt. I've seen $5K voice systems ruined by prompts that sound like: "You are a helpful assistant. Be professional. Answer questions." Meanwhile, I've seen $500 setups that feel completely human because someone spent 2 hours crafting the right personality framework. The difference between awkward and amazing isn't your tech stack. It's understanding how to make AI think like a human in conversation. Through extensive testing, I documented every pattern that works. The frameworks that turn robotic responses into natural dialogue. The specific phrases that kill awkwardness. The psychological triggers that make people forget they're talking to AI. I put together a complete guide that breaks down: – What to say (and what not to) – How to make agents sound human – Real mistakes I see all the time – A clear structure you can reuse Here's the doc- https://docs.google.com/document/d/1NtrCr2otEf7kVBJ86tF8B9P0fT-5wT_sxtJSTk8mtqw/edit?usp=drivesdk If you have any queries feel free to DM me.....

Anyone here build an outbound GHL ai voice calling bot that calls office numbers…not cell phones?