Hey everyone, my name is Kam and I just joined. I am dual citizen Canadian/ American but I live in Panama City Panama. For the past six years I have been a remote high ticket sales rep and appointment setter selling solar to businesses and homeowners all over America. I am looking into starting my own AI agency. I have a huge network of roofers, solar companies and HVAC companies I can reach out to. NOt concerned about the selling part, just need a product to deliver. Anyways happy to be here and start learning

Hi! I was a Data and Analytics Engineer for more than 14 years and have been independent consulting now for over 1 year. Ive added AI Automations to my list of services as it compliments my AI Analytics solutions well. Im looking to continue to grow my skill set and learn more how I can improve my offers so I can grow my revenue. Happy to meet everyone

Hey Brendan’s community! 👋 Liton here — I build automation systems for home service businesses (HVAC, plumbing, cleaning, roofing) using the stack this community is all about: • Retell AI for voice agents (missed call recovery, after-hours booking) • n8n for workflow automation • GoHighLevel for CRM + pipeline management Two recent builds: • HVAC client: missed call text-back + AI voice follow-up → $3,800 recovered in week one, $1,500/month retainer • Plumber: review automation sequence → $900/month added The niche I’ve locked in: home service businesses are massively underserved with AI voice automation. Most of them lose 30–50% of inbound leads after hours and don’t even know the number. Excited to be in this community — the n8n + Retell + voice agent angle is exactly what I’m building and testing. What are you building with n8n right now?

Hey, I’m new here 👋 I run a lead-gen agency, but a girl can only pretend she understands AI for so long 😂 Which clever man is volunteering to catch me up?

Hey everyone 👋 Bayram here, from Turkey. For the past months I've been building HepTakipte — not a chatbot, a customer communication platform. Think Intercom's shape, built for markets where business runs on WhatsApp. The agent One agent across WhatsApp, Instagram DM, email and a web widget — every channel shares the same contact record, lead history and knowledge base. It has 28 tools, and it doesn't just answer, it acts: - Reads the calendar, finds slots, books, reschedules, cancels, manages waitlists - Creates and enriches leads, scores them, flags the ones going cold - Schedules its own follow-ups - Transcribes voice notes, analyses images - Detects the customer's language from the first message and replies in it - Hands off to a human with a written summary of where the conversation stands Every write action goes through a three-step lifecycle: prepare → customer approval → execute. The agent can propose a booking, but nothing mutates until the customer explicitly says yes. An ambiguous reply doesn't count as consent. The platform behind it This is the part that makes it a platform instead of a bot. Multi-tenant from the ground up, 5-role RBAC, and an operations panel with: - Lead scoring with time decay and risk flags - Tickets with SLA policies - Campaigns and node-based automation flows - Knowledge base with pgvector semantic search - CSAT capture and a conversation funnel — automation rate, agent-involvement rate, resolution rate - Audit log and KVKK/GDPR data erasure flows Safety lives in code, not in the prompt Every agent reply is scanned for numbers and validated against the real service catalogue before it sends. Prices can't be invented — not because the prompt asks nicely, but because the code refuses. Same for handoff integrity: lead status can't jump to HANDOFF without an actual handoff record existing, so nothing can look transferred while sitting in nobody's queue. Stack: TypeScript, Fastify, Postgres + pgvector, Docker. 866 tests.