I wanted to share something I've been actively learning over the last few weeks, in case it helps anyone else here. I've been putting focused effort into building a real presence on LinkedIn. Not just posting, but treating it as a credibility surface, a relationship engine, and eventually, a monetizable channel. This isn't me "figuring it all out." It's me sharing the working model I'm currently following while I learn. One thing that's become very clear: To succeed in AI and automation on LinkedIn, you have to move past the cringe of generic, robotic content and stop treating your profile like a résumé. LinkedIn is a B2B marketplace. Something like 80% of B2B leads originate there, which means decision-makers are already spending time there. Here's the simple framework I'm using right now. 1. Treat your profile like a storefront, not a résumé Your profile has one job: convert attention into trust within seconds. What I'm focusing on: - A headline that immediately tells who I help and how - A clean headshot (approachable over flashy) - A banner with a single, clear CTA - A featured section with one long-form trust asset (newsletter, doc, guide) and one clear next step (booking link, waitlist, etc.) The goal isn't perfection. It's clarity. 2. Content quality beats volume (by a lot) You don't need to post every day. Most strong creators post 3-4 times per week, max. I've been using a simple structure for posts: Story → Lesson → Advice → Reflection Start with something real or personal. Extract a lesson. Offer something practical. End with context or a genuine question. Also, I'm being very intentional about not letting AI think for me. I use AI for structure and clarity, but the specificity, taste, and experience have to stay human. 3. Hooks go broad before they go niche The first 2-3 lines matter more than anything else. What I'm practicing: - Start with a broad emotional hook anyone can relate to - Then bridge into AI, automation, or systems - Avoid starting niche or technical too early

I just built a multi-agent AI system for Instagram that automates the entire customer journey from first DM to confirmed booking. Not a chatbot. An operations system. The problem: Brands are flooded with Instagram DMs: bookings, voice notes, support, promos. Humans can’t keep up, context gets lost, and revenue leaks. What I built: A multi-agent AI orchestration system that:• Handles text + voice DMs• Transcribes and understands voice notes• Classifies intent in real time• Routes messages to specialized AI agents• Maintains full conversation memory Agents • Booking • Support • Marketing • Retention All sharing context and handing off seamlessly. What’s live • Instagram DM automation (text + voice) • End-to-end booking + support workflows What’s next • Comment-to-DM automation • WhatsApp chatbot using the same agents and memory Results • 24/7 replies • <30s response time • ~80% less manual support • Built to scale 10× Built with OpenAI agents + Make / n8n + APIs. If you’re dealing with DM overload or building automation systems, happy to share details. @Nate Herk Check this out. I have also applied for the job also