Most AI funnels look impressive at the top and collapse silently at the bottom. Here’s why. They’re built as linear flows, not learning systems. Typical AI funnel: • User → prompt → output → done That’s not a funnel. That’s a one-time interaction. A scalable AI funnel has 4 technical layers 👇 1️⃣ Signal Capture Layer Every interaction logs: – intent – context – constraints – success / failure If you’re not storing this, you’re throwing away leverage. 2️⃣ Memory Layer Short-term memory (session) + long-term memory (user history). This is what turns AI from reactive → contextual. No memory = same answers forever. 3️⃣ Decision Layer Rules + models decide: – when to escalate – when to simplify – when to ask clarifying questions This prevents hallucination and over-automation. 4️⃣ Outcome Feedback Loop Did the output: – convert? – reduce effort? – improve accuracy? That signal must flow back into the system. Funnels that learn outperform funnels that persuade. In 2025, the best AI funnels won’t just convert users. They’ll convert experience into intelligence.

Learn how to build an AI Agent "Lead Machine" that turns anonymous website visitors into LinkedIn connections and nurtures them automatically. This is a massive unlock for B2B businesses looking to capture high-intent traffic that usually falls through the cracks. Check it out 👇

https://openai.com/index/introducing-gpt-5-2/ What's everyone's thoughts on GPT-5.2, will you be using it?

A construction team used to spend weeks digging through data market conditions, zoning info, environmental risks, flood maps, soil safety, nearby hazards…Dozens of tabs. Endless PDFs. Too many variables. Now? They type in a property address……and get a full land development analysis in minutes. Not just a summary —but things like: ✅ environmental risks ✅ hazard zones ✅ nearby infrastructure ✅ development suitability ✅ market context ✅ potential red flags all pulled, compared, and organized automatically. It’s not replacing experts it’s removing the part nobody wants to do: the endless searching. We’re slowly moving from “collect the data ”to “ask the question.” If research in your industry suddenly became instant instead of weeks, what decision would you make faster?

Hi its been a long time! first of all @Brendan Jowett congrats on how you have grown this community! I was here early this year and i have been super busy building other things in the AI space however i am working on a workshop for a summit to share how to build voice agents and I previously used Vapi however i have not been deliving them in a while due to new AI products we have been offering. I wanted to know if everyone is still using Vapi and if you have updated content on it in here in community.