I’m looking to connect with a few automation devs / n8n builders for upcoming client installs.When I sign clients, I’ll provide full system architecture and flows — you’ll implement based on my scopes. Here’s the Tier-1 System Scope (3 modules): 1️⃣ Voice Agent (Call Handling System) - Tool stack: Twilio Voice + n8n + Vapi (or Retell) - Detect inbound calls → AI greets caller, qualifies with 3–4 prompts - Logs transcript + caller info → Airtable - Sends missed-call summary via email/SMS to team 2️⃣ Email Agent - Tool stack: Gmail API + n8n + OpenAI - Detect inbound lead emails (from webform / portal) - AI reads message → sends polite human-tone response in <2 min - Creates record in Airtable (name, email, message, response) - Optionally forwards to agent calendar or CRM 3️⃣ WhatsApp / SMS Agent - Tool stack: Twilio WhatsApp / SMS + n8n + OpenAI - New message triggers AI reply (lead qualification template) - Collects name, intent, budget → saves to Airtable - Alerts agent via Slack / email when a lead is marked “Hot” 🔹 Each module plugs into the same Airtable Hub (Leads, Responses, Bookings tables). 🔹 QA checklist + credentials provided per install. 🔹 Expected delivery: 7–10 days / project. 🔹 Budget: Will Discuss / install. 💡 Bonus Opportunity (After Tier 1 Roll-Out): If you also understand how to build an Appraisal AI Agent for real-estate — one that can pre-qualify property appraisal requests, estimate value ranges, or route to valuation forms — mention it. We’ll be rolling this out after the first few client installs, and those with domain-specific experience will get first priority on that project line. If this is in your wheelhouse, DM me or drop: - Your experience (n8n / Twilio / OpenAI / Airtable) - Example of a similar automation (Loom or link) - Your per-project rate + turnaround time — Jason Pholsrirach Founder, Aristo AI “Make Every Inquiry Count.”

Hey everyone 👋 I’m facing an issue where my AI receptionist isn’t capturing email IDs accurately during calls. For example, when a caller says “hari10@gmail.com”, it gets transcribed as “harry ten @ gmail.com”. I’m not sure if the problem lies in my prompt (attached below) or the speech-to-text transcriber. Has anyone faced something similar? Would love suggestions on how to improve accuracy for alphanumeric email inputs — especially when users say things like numbers, dots, or underscores.

Hey everyone 👋 I’m building out an AI receptionist / lead-response system for Australian real-estate agencies and I’m looking to connect with anyone who’s integrated voice or messaging agents into industry CRMs before (AgentBox, VaultRE, Rex, Box+Dice, etc.). The stack we’re exploring involves AI voice + WhatsApp + Gmail automations — routing inbound leads straight into the CRM, qualifying, and booking appraisals automatically. If you’ve done anything similar or have insights on best practices / API gotchas / integration workflows, I’d really appreciate your input or a quick chat. Mainly curious about: - Handling CRM authentication & contact syncing - Setting up booking triggers from voice or WhatsApp - Any limitations you’ve hit with these Australian CRMs Happy to trade notes or credit you when we publish our internal build doc 🙌 Thanks in advance — Jason