One face. Four moods. Same pixels, different emotions. AI doesn’t just draw faces — it tells stories

Most AI agencies don’t struggle because of tech. They struggle because they start with tools instead of pain. Businesses don’t wake up wanting “AI automation.” They wake up frustrated about missed leads, slow replies, manual work and expensive staff doing repeatable tasks. That’s why the AI use cases that sell best are boring on the surface. AI live chat that replies instantly. AI receptionists that never miss a call. AI agents that qualify leads and book appointments. Nothing fancy. Just removing friction. The interesting part is that the tech is rarely the hard part. The real work is understanding where money is leaking and plugging that hole quietly in the background. Have you ever tried building an AI agent around a real business pain instead of a cool idea?

I'm curious to know how to deliver clients project? When we're running that agent in our computer in n8n how client will going to use this? How you're handling this? I'm didn't delivered any project yet.

2.Warm DM (Soft Value Drop) Use this when: Someone liked, commented, replied to your story, or engaged with your content. Copy-paste DM: Hey {{Name}}, appreciate you engaging with my post on {{topic}}. One thing I’ve noticed working with {{niche}} is that {{specific insight related to the post — 1 line only}}. Curious — how are you handling {{relevant problem}} right now? ✨Looking forward for your reply of this questions:- How's it ? Any suggestions to improve? How you're doing this?

I’ve been using agents + Anti-Gravity a lot more than n8n of late — not a 1:1 replacement… but it’s getting there. I was recording a quick walkthrough video on that, and figured I’d share what I’m actually using because it’s stupid practical: I don’t love cold outreach by volume. I’d rather anchor messages to intent. So I built a little pipeline that mines Google Reviews for signals like:“they ghosted me” / “no one called back” / “they were late” If someone’s telling the internet that… that’s a signal. Might as well use it! Workflow (Anti-Gravity + Claude Opus 4.5): - pick niche + location (demo: moving companies in Texas) - scrape Google Reviews - filter for fixable pain points (ghosted / no response / late / etc.) - enrich contacts → output CSV - Opus writes personalized outreach anchored to the exact review This is 100% possible in N8N, but I was able to wire that all up with natural language in like an afternoon... WAY less fiddling! What other “intent signals” would you mine like this? 👇