✅ AI Chat OS System: Micro-Step Setup Checklist
📌 Objective:
Deploy an AI-powered chat assistant that responds to inbound messages, captures leads, and drives conversions—automatically.
🧱 SECTION 1: Understand the AI Chat Flow
- AI Chat is built inside the Automations tab of your OS dashboard.
- It responds to inbound website messages, chat widget opt-ins, or DM replies.
- It can collect data, ask questions, and qualify leads based on pre-set conditions.
- It works with your Forms, Tags, Smart Lists, and Calendars.
⚙️ SECTION 2: Access the AI Chat Automation
- Go to Automations > 2 | Launch Pack ⚡️.
- Select Step 11 | AI Chat Inbound Automation 💬.
- This workflow template is pre-built with inbound logic and AI instructions.
- Click Create Workflow from Template to begin editing.
✍️ SECTION 3: Customize AI Chat Prompts
- Within the workflow, scroll to the AI Chat step.
- Edit the System Prompt to define:
- Who the AI is (tone, personality, voice)
- What it should ask (name, email, goal, etc.)
- What the goal is (lead qualification, booking, upsell)
- Example prompt:
"You are Alex, an AI assistant for Launch Lab. Your job is to qualify leads and get them to book a call. Ask for their name, email, and what they need help with. If they qualify, send them to the booking page."
💬 SECTION 4: Program Responses & Routing
- Add conditional branches based on AI inputs:
- “If interested = yes” → Send booking link
- “If interested = no” → Tag as cold lead
- “If question = refund” → Trigger support automation
- Use buttons or short replies to guide the conversation flow.
- Trigger other automations (email, tag, calendar redirect) based on chat outcome.
📥 SECTION 5: Connect to Inbound Channels
- Ensure your Chat Widget is live on your website.
- You can also connect this automation to:
- Instagram DMs
- Facebook Messenger
- WhatsApp inbound
- For each channel, test if the AI triggers properly based on a lead’s reply.
🧪 SECTION 6: Test the Entire Chat Flow
- Visit your site or DM your business on social.
- Trigger the AI chat flow.
- Confirm:
- It responds immediately
- It asks the right questions
- It captures data and routes the lead
- Watch for logic breaks, unqualified paths, or message timing delays.
🧠 AI Chat System Outputs
Once complete, you’ll have:
- ✅ A responsive AI assistant ready to engage with inbound traffic
- ✅ Lead capture and qualification built-in
- ✅ Smart routing based on interest, behavior, and intent
- ✅ Automation triggers linked to email, booking, tagging, and more
Want me to set this up inside your OS Automations tab using Launch Pack | Step 11?
Or walk through building your first inbound AI Chat flow from scratch?