Master GoHighLevel Agent Studio

Build AI-Powered Agents That Run Your Home Services Business 24/7

24/7

Always Available

96%

Faster Response

114%

Higher Answer Rates

41%

More Conversions

What is Agent Studio?

Agent Studio is GoHighLevel's revolutionary no-code/low-code platform that lets you build AI-powered agents (virtual assistants) without needing to be a programmer.

Think of it as your digital workforce that never sleeps, never calls in sick, and handles customer interactions with perfect consistency every single time.

Why This Matters for Your Home Services Agency

  • Automate Lead Qualification: Stop wasting time on unqualified leads
  • Book Appointments 24/7: Customers can schedule service even at 2 AM
  • Reduce No-Shows: Automated confirmations and reminders
  • Handle Customer Service: Answer FAQs instantly without human intervention
  • Scale Without Hiring: Handle 10x the volume with the same team
  • Create Recurring Revenue: Build and sell AI agents to clients
Customer Calls
AI Greets & Qualifies
Books Appointment
Updates CRM

What You'll Learn in This Portal

Getting Started

Learn the fundamentals, setup your first agent, and understand the Agent Studio interface

Start Learning →

Understanding Nodes

Master every node type: LLM, API, MCP, Knowledge Base, Web Search, and Router nodes

Explore Nodes →

Building Workflows

Create powerful automation workflows with step-by-step examples and best practices

Build Workflows →

Home Services Use Cases

8 proven use cases for HVAC, plumbing, electrical, and other home service businesses

See Use Cases →

Making Money

Monetization strategies, pricing models, and how to sell AI agents to clients

Learn Monetization →

Prompt Library

Copy-paste ready prompts for every home services industry with customization tips

Browse Prompts →

Ready to Transform Your Agency?

Start with the Getting Started guide to build your first AI agent in the next 30 minutes

What is Agent Studio & Why It Matters

The Problem It Solves

  • Missed calls = Missed revenue
  • Team overwhelmed with repetitive questions
  • Can't scale without expensive hiring
  • Inconsistent customer experience
  • Manual appointment booking bottlenecks

How Agent Studio Fixes It

  • AI answers every call 24/7/365
  • Handles FAQs automatically
  • Infinite scalability at low cost
  • Perfect consistency every time
  • Instant appointment booking

Key Benefits for Home Services Agencies

Time Savings

Automate 80% of routine customer interactions. Your team focuses on high-value work only.

Cost Reduction

One AI agent replaces multiple full-time staff. $0.10-$0.25 per call vs $6-$12 for humans.

More Revenue

Never miss a lead. Book appointments 24/7. Convert 41% more customers automatically.

Better Experience

Instant responses, zero wait times, consistent quality. Happy customers = repeat business.

Easy Scaling

Handle 10x call volume during busy season without hiring temporary staff.

Smart Data

Every interaction logged, analyzed, and used to improve. Better insights = better decisions.

Setup Walkthrough: Build Your First Agent

Pro Tip: Follow these steps in order. Don't skip ahead—each step builds on the previous one.
1

Access Agent Studio

Log into your GoHighLevel account and navigate to:

AI Agents → Agent Studio → Create Agent

Click the "Create Agent" button to open the visual builder.

2

Name Your Agent

Give your agent a clear, descriptive name:

  • ✅ Good: "HVAC Lead Qualifier"
  • ✅ Good: "Appointment Booking Bot"
  • ❌ Bad: "Agent 1" or "Test Bot"

Add a description of what this agent does for future reference.

3

Add Your First Node

Start with an LLM Node (Large Language Model) for the greeting:

  1. Click "Add Node" or drag from the node panel
  2. Select "LLM Node"
  3. Configure the prompt (see example below)

Example Greeting Prompt:

You are a friendly receptionist for [Company Name], a professional HVAC service company. Greet the caller warmly and ask how you can help them today. Keep your response brief (1-2 sentences) and professional.
4

Connect Additional Nodes

Build your workflow by connecting nodes with edges:

  • Click the output dot on your first node
  • Drag to another node to create a connection
  • Define conditions on edges to control flow

Example flow: Greeting → Qualify Lead → Book Appointment → Confirm

5

Set Up Variables

Variables store information between nodes:

Global Variables: Available across all agents
Example: company_name, business_hours
Runtime Variables: Created during the conversation
Example: customer_name, service_type, appointment_time
6

Test Your Agent

Before going live, thoroughly test your agent:

  1. Click the "Test Tab" in Agent Studio
  2. Run simulated conversations
  3. Check for errors or unexpected responses
  4. Verify data flows correctly between nodes
  5. Test edge cases and error handling
Warning: Never skip testing! A broken agent can damage your reputation and lose customers.
7

Deploy to Production

Once tested, deploy your agent:

  1. Save to create/update Staging version
  2. Review your Staging agent one final time
  3. Click "Promote to Production"
  4. Your agent is now live and handling real conversations!
Congrats! Your first AI agent is now working 24/7 for your business.

Quick Start Template

Copy this simple agent to get up and running in 15 minutes:

Basic Lead Capture Agent

Node 1: Greeting (LLM)
You are a receptionist for [Your Company Name]. Greet the caller and ask what service they need help with. Be warm and professional.
Node 2: Capture Name (LLM)
Ask for the caller's first name in a friendly way. Store the response in variable: customer_name
Node 3: Capture Phone (LLM)
Ask for the best callback number. Confirm you heard it correctly. Store in variable: phone_number
Node 4: Capture Service (LLM)
Ask what service they need: [list your services] Store response in variable: service_type
Node 5: Confirm & Close (LLM)
Thank them by name. Confirm someone will call them back within 2 hours. End call professionally.

What Are Nodes?

Nodes are the building blocks of Agent Studio. Each node performs a specific function—from generating AI responses to calling external APIs. You connect nodes together to create intelligent workflows that automate your business.

Think of nodes like LEGO blocks: Each piece has a specific purpose, and you snap them together to build something amazing. The more node types you master, the more powerful your agents become.

LLM Node (Large Language Model)

The brain of your agent—generates intelligent, conversational responses

What It Does

The LLM Node uses advanced AI models (like GPT-4) to understand natural language and generate human-like responses. It's your go-to node for conversations, decision-making, and content generation.

When to Use It

  • Greeting customers and having natural conversations
  • Answering questions based on context
  • Qualifying leads through intelligent questioning
  • Making decisions based on customer input
  • Generating personalized responses

Example Configuration

You are a friendly HVAC receptionist for [Company Name]. The customer has called about: {service_type} Your task: 1. Greet them warmly by name: {customer_name} 2. Ask about their specific issue 3. Determine urgency (emergency vs. routine) 4. Store urgency level in variable: urgency_level Be conversational, empathetic, and professional. Keep responses under 50 words.

Real-World Example:

Customer: "My AC stopped working and it's 95 degrees outside!"

AI Response: "Oh no, that's definitely an emergency on a hot day like this! Let's get someone out to you ASAP. What's your address so I can dispatch our nearest tech?"

Pro Tip: Keep LLM prompts focused and specific. Instead of "be helpful," say exactly what you want: "Ask 3 qualifying questions then route to booking."

API Tool Node

Connect to external services and pull live data

What It Does

The API Tool Node sends HTTP requests to external APIs, allowing your agent to fetch data, trigger actions, or integrate with third-party systems like your CRM, calendar, or payment processor.

When to Use It

  • Check real-time availability in your booking system
  • Pull customer data from your CRM
  • Send appointment confirmations via SMS
  • Process payments through Stripe/PayPal
  • Update records in external databases

Example Use Case

API Endpoint: https://api.yourcrm.com/customers/lookup Method: GET Parameters: - phone_number: {customer_phone} - api_key: your_api_key_here Response stored in: customer_data Then use: {customer_data.name}, {customer_data.last_service_date}

Workflow Example:

1. Customer calls in
2. LLM Node captures phone number
3. API Node queries CRM for customer history
4. LLM Node greets: "Welcome back, John! I see your last service was on March 15th. How's that new furnace working out?"

Knowledge Base Tool Node

Give your agent access to your documents and expertise

What It Does

This node connects your agent to a knowledge base filled with your company documents, FAQs, pricing sheets, service manuals, and policies. The AI searches this knowledge to provide accurate, company-specific answers.

When to Use It

  • Answer FAQs about your services, pricing, or policies
  • Provide technical troubleshooting steps
  • Quote accurate pricing from your service catalog
  • Share warranty information and terms
  • Give location-specific information (service areas, hours)

What to Upload

Essential Documents:

  • Service pricing sheets
  • FAQ document
  • Company policies
  • Service area maps
  • Business hours

Advanced Documents:

  • Troubleshooting guides
  • Product specifications
  • Warranty terms
  • Seasonal promotions
  • Emergency protocols

Example Query:

Customer: "How much do you charge for AC maintenance?"

Agent queries knowledge base → finds pricing doc → responds:

"Our standard AC maintenance is $129, which includes a full system inspection, filter replacement, and refrigerant check. We also offer a maintenance plan at $299/year that includes two visits plus priority emergency service."

Pro Tip: Keep your knowledge base updated! Add new promotions, seasonal offers, and policy changes immediately so your agent always has current info.

Web Search Tool Node

Pull real-time information from the internet

What It Does

This node performs live web searches to get current information that changes frequently—like weather, traffic, local regulations, or product availability.

When to Use It

  • Check current weather for outdoor service scheduling
  • Look up local building codes or permit requirements
  • Find product specs for parts you don't stock
  • Get current traffic conditions for ETA estimates
  • Research competitor pricing (ethically!)

Smart Weather-Based Workflow:

Scenario: Customer books landscaping service
Agent: Uses Web Search to check 7-day forecast
If rain predicted: "Just a heads up—there's rain in the forecast for Thursday. Would you like to schedule for Monday instead to ensure the best conditions?"

Caution: Web searches can slow down response times. Use sparingly and only when you need truly current data that isn't in your knowledge base.

MCP Tool Node (Model Context Protocol)

Advanced integrations with external tools and systems

What It Does

MCP is an advanced protocol that lets your agent interact with external tools and systems in a standardized way. Think of it as a universal translator between your AI agent and other software.

When to Use It

  • Connect to specialized industry tools
  • Integrate with enterprise software systems
  • Access custom internal tools your company built
  • Extend agent capabilities beyond standard nodes
Beginner Note: MCP Tool Nodes are advanced. Start with LLM, API, and Knowledge Base nodes first. Once you've mastered those, explore MCP for specialized needs.

AI Router Node

Intelligent routing based on customer intent

What It Does

The AI Router Node analyzes what the customer wants (their "intent") and automatically routes them to the right workflow, department, or agent without asking "Press 1 for sales, 2 for support."

When to Use It

  • Detect if customer wants booking, support, or billing
  • Identify emergency vs. routine service requests
  • Route to human agents based on complexity
  • Separate sales leads from existing customers

Intent Routing Example

Customer says: "My pipe burst and water is everywhere!" AI Router detects: Intent: EMERGENCY Service Type: PLUMBING Urgency: CRITICAL → Routes to: Emergency Dispatch Workflow → Sends SMS to on-call plumber → Confirms ETA under 60 minutes

Multi-Intent Routing:

Intent: NEW_BOOKING
  • "I need an estimate"
  • "Can you schedule service?"
  • "How much for installation?"
→ Route to: Booking Workflow
Intent: SUPPORT
  • "My bill looks wrong"
  • "Can you reschedule my appointment?"
  • "I have a question about my service"
→ Route to: Customer Support

Logic & Flow Control

Beyond individual nodes, you control how conversations flow using conditions, branches, and variables.

Branching & Conditions

Create different paths based on customer responses. Example: If urgency = "high" → emergency workflow, else → standard booking

Variables

Store and pass data between nodes. Example: {customer_name}, {service_type}, {appointment_time}

Conditions on Edges

Only follow a connection if certain criteria are met. Example: Only proceed to payment if {total_cost} > $0

Node Mastery Checklist

✓ Beginner Level:
  • LLM Node basics
  • Simple variable storage
  • Linear workflows (no branching)
  • Knowledge Base lookups
✓ Intermediate Level:
  • API Tool Node integrations
  • Conditional branching
  • AI Router Node
  • Multi-node workflows
✓ Advanced Level:
  • MCP Tool Node
  • Complex routing logic
  • Error handling workflows
  • Multi-agent systems

Workflow Creation 101

A workflow is a series of connected nodes that work together to accomplish a specific task. Think of it like a flowchart where each step leads to the next based on logic and conditions.

Basic Workflow Structure:

  1. Entry Point: Where the workflow starts (trigger event)
  2. Processing Nodes: Do the actual work (LLM, API, etc.)
  3. Decision Points: Branch based on conditions
  4. Actions: Do something (book, send SMS, update CRM)
  5. Exit Point: End of workflow

Best Practices:

  • Keep workflows focused on ONE task
  • Use descriptive node names
  • Add fallback paths for errors
  • Test every branch thoroughly
  • Document what each workflow does

Common Workflow Patterns for Home Services

1. Lead Qualification Workflow

Goal: Automatically screen incoming leads to prioritize high-value opportunities

📞 Call Received
Trigger: Inbound call
🤖 LLM: Greeting
"Hi! How can I help?"
💬 LLM: Capture Need
"What service do you need?"
🔍 LLM: Qualify Budget
"What's your budget range?"
LLM: Check Urgency
"How soon do you need this?"
🎯 AI Router
Qualify Lead
High Priority
→ Route to Sales Team
→ Send instant notification
Medium Priority
→ Schedule callback
→ Add to follow-up queue
Low Priority
→ Send email quote
→ Nurture campaign
Variables to Store: - customer_name - service_type - budget_range (low/medium/high) - urgency_level (routine/soon/emergency) - phone_number - email - lead_score (calculated 1-10)

2. Appointment Booking Workflow

Goal: Book appointments 24/7 without human intervention

📞 Customer Ready to Book
🗓️ API: Check Calendar
Fetch available slots
🤖 LLM: Offer Options
"I have Tuesday at 2pm or Wednesday at 10am"
LLM: Confirm Selection
Customer picks time
📍 LLM: Get Address
"What's the service address?"
💾 API: Create Booking
Add to calendar & CRM
📧 API: Send Confirmation
Email + SMS confirmation
Booking Complete
Pro Tip: Always confirm details back to the customer before finalizing: "Just to confirm, that's Tuesday, March 15th at 2pm at 123 Main Street. Is that correct?"

3. Customer Service Workflow

Goal: Handle FAQs and support requests automatically

📞 Support Call
🤖 LLM: Understand Issue
"What can I help with?"
🎯 AI Router: Categorize
Determine issue type
FAQ Question
→ Knowledge Base lookup
→ LLM answers instantly
Billing Issue
→ API: Fetch invoice
→ LLM explains charges
Reschedule Request
→ Booking workflow
→ Update calendar
Complex Issue
→ Escalate to human
→ Provide full context

4. Post-Service Follow-Up Workflow

Goal: Drive reviews, repeat business, and upsells after service completion

Service Completed
Trigger: Job marked done in CRM
⏱️ Wait 2 Hours
📱 LLM: Send Follow-Up SMS
"Hi {name}! How did everything go?"
LLM: Request Satisfaction
"On a scale of 1-10, how satisfied were you?"
9-10 Rating
→ Request Google review
→ Offer maintenance plan
→ Thank them
7-8 Rating
→ Ask for feedback
→ Offer to make it right
→ Follow up in 2 days
1-6 Rating
→ Immediate manager alert
→ Schedule callback
→ Prioritize resolution
Real Result: Companies using automated post-service follow-ups see 3-5x more reviews and 20-40% higher repeat booking rates.

Variables & Data Handling

Variables are how you pass information between nodes. Master these and your workflows become incredibly powerful.

Global Variables

Available to ALL agents across your entire account

Examples: - {company_name}: "ABC Plumbing" - {business_hours}: "Mon-Fri 8am-6pm" - {service_area}: "Dallas/Fort Worth Metro" - {emergency_number}: "+1-555-123-4567"

Runtime Variables

Created during the conversation, exist only for that session

Examples: - {customer_name}: Captured from customer - {service_type}: "AC Repair" - {appointment_date}: "2024-03-15" - {total_cost}: "$299"

Using Variables in Prompts

Example LLM Prompt: "Hi {customer_name}! I see you're calling about {service_type}. Based on your description, this sounds like a {urgency_level} situation. I can get a technician to {service_address} on {appointment_date} at {appointment_time}. The estimated cost is {quote_amount}. Does that work for you?"

Testing & Debugging Workflows

Critical Rule: NEVER push a workflow to production without thorough testing. A broken agent can lose customers and damage your reputation.

Testing Checklist:

  1. Test the Happy Path
    Run through the ideal scenario where everything goes right
  2. Test Edge Cases
    What if customer gives unexpected answers? What if API fails?
  3. Test All Branches
    Every decision point should be tested with different conditions
  4. Test Error Handling
    What happens when things break? Does it fail gracefully?
  5. Test with Real Data
    Use actual customer names, addresses, and scenarios

Common Debugging Scenarios:

  • Variable not passing: Check spelling and curly braces {like_this}
  • Wrong routing: Review your AI Router conditions and intent detection
  • API errors: Verify endpoint URLs, authentication, and parameter formats
  • Infinite loops: Make sure every path eventually ends
  • Slow responses: Reduce unnecessary nodes or API calls

Version Control (Draft → Staging → Production)

Agent Studio uses a three-stage system to protect your live agents while you make improvements.

Draft

Your working copy. Make changes, break things, experiment freely. Not visible to customers.

When to use: Building new features, major changes

Staging

Test version. Works exactly like production but only you can access it for testing.

When to use: Final testing before going live

Production

Live version that customers interact with. Only deploy tested, working agents here.

When to use: Stable, fully-tested workflows
Best Practice: Always keep a working Production version. Test new features in Staging first, then promote only after confirming everything works.

Real Results from Home Service Companies

96%

Faster Response Time

114%

Higher Answer Rates

41%

More Conversions

$200k+

Annual Savings

01

Lead Qualification

Stop wasting time on unqualified leads—let AI screen them instantly

The Problem

  • Sales team spends hours calling leads that never convert
  • No way to prioritize high-value opportunities
  • Manual qualification is slow and inconsistent
  • Losing money on tire-kickers and price shoppers

AI Solution

  • AI qualifies leads 24/7 in seconds
  • Auto-scores based on budget, urgency, service type
  • Routes high-value leads to sales team instantly
  • Nurtures low-priority leads automatically

How It Works

1
AI greets caller
"Hi! Thanks for calling ABC HVAC. What service do you need help with today?"
2
Captures key info
Service type, urgency, budget range, location, contact details
3
Calculates lead score
Emergency + high budget + service area = 9/10 score
4
Smart routing
High score → instant sales notification
Medium → callback queue
Low → email drip campaign

ROI Impact

Time Saved: 15-20 hours/week per sales rep
Conversion Rate: +35% on qualified leads
Revenue Increase: $50k-$150k annually

Industry-Specific Examples

🔧 HVAC

Qualifying questions: System age? Emergency or maintenance? Budget for replacement?

🚰 Plumbing

Qualifying questions: Water flowing? Leak severity? Own or rent property?

⚡ Electrical

Qualifying questions: Power outage? Sparks/smoke? DIY attempted? Permit needed?

🌳 Landscaping

Qualifying questions: One-time or recurring? Property size? Design or maintenance?

All 8 Use Cases at a Glance

1. Lead Qualification

Screen & score leads instantly

ROI: +35% conversion

2. Appointment Scheduling

Book 24/7 automatically

ROI: +40% bookings

3. Confirmations

Reduce no-shows dramatically

ROI: -70% no-shows

4. Rescheduling

Handle changes seamlessly

ROI: +25% efficiency

5. Day-of Updates

Keep customers informed

ROI: +50% satisfaction

6. Customer Service

Answer FAQs instantly

ROI: 80% automation

7. Post-Service

Drive reviews & repeat business

ROI: 5x more reviews

8. Invoicing

Automate payment reminders

ROI: -60% late payments

Ready to Build Your AI Workforce?

Start with one use case, then expand. The fastest ROI comes from appointment booking and lead qualification.

💰 Build a 6-Figure AI Agency

Home service businesses are desperate for AI automation—and they'll pay premium prices for someone who can deliver results.

$2,000-$5,000

Setup Fee Per Client

$500-$1,500

Monthly Retainer

10-20 Clients

To Hit $100k/Year

5 Proven Monetization Strategies

1

Done-For-You AI Agent Setup

The Offer: "I'll build a custom AI receptionist that books appointments and qualifies leads 24/7"

Pricing Structure:

  • Setup Fee: $2,000-$5,000 (one-time)
  • Monthly Management: $500-$1,000
  • Per-Conversation Fee: $0.50-$2.00 (optional add-on)

Best Target Markets:

🔧 HVAC Companies
🚰 Plumbers
⚡ Electricians
🌳 Landscapers
🏠 Contractors
🧹 Cleaning Services
Sales Pitch: "You're losing $50k+ per year in missed calls. I can fix that for $3k upfront + $750/month. You'll break even in 60 days guaranteed."
2

Performance-Based Pricing

The Offer: "Only pay when the AI books appointments or qualifies leads"

Pricing Examples:

  • Per Booked Appointment: $25-$75 each
  • Per Qualified Lead: $15-$40 each
  • Percentage of Revenue: 10-15% of jobs closed
Why This Works: Zero-risk for the client. They only pay for results. You make WAY more money if your agent performs well.
3

White-Label Agency Model

The Offer: "Partner with marketing agencies and provide AI agents under their brand"

Wholesale Pricing:

  • Your Cost: $200-$400 per agent (your time)
  • Agency Pays You: $1,000-$2,000 per agent
  • Agency Sells For: $3,000-$6,000 to end client
  • Monthly Revenue Share: 30-40% of retainer fees
Pro Tip: Approach SEO agencies, web design firms, and local marketing agencies. They have the clients but not the AI expertise.
4

Industry-Specific Templates

The Offer: "Pre-built AI agents customized for specific industries"

Template Pricing:

  • Basic Template: $997 (self-serve with video training)
  • Premium Template + Setup Call: $1,997
  • Done-For-You Customization: $2,997

Example Templates You Can Sell:

  • HVAC Emergency Triage Agent
  • Plumbing Lead Qualifier
  • Electrical Safety Assessment Bot
  • Landscaping Quote Generator
  • Pool Service Scheduler
  • Pest Control Booking Agent
5

Training & Consultation

The Offer: "Teach business owners to build their own AI agents"

Service Pricing:

  • 1-on-1 Coaching: $200-$500/hour
  • Group Workshop: $497-$997 per person
  • Online Course: $297-$1,997
  • Ongoing Support: $97-$297/month membership

Revenue Calculator: Your First $100k

Path 1: Monthly Retainer Model

10 clients × $1,000/month = $10,000/month
12 months = $120,000/year
+ Setup fees (10 × $3,000) = $30,000
Year 1 Total = $150,000

Path 2: Template Sales Model

20 templates × $1,997 = $39,940
10 done-for-you × $2,997 = $29,970
5 premium setups × $4,997 = $24,985
Year 1 Total = $94,895

Path 3: Hybrid Model (Best ROI)

5 retainer clients × $800/month = $48,000/year
10 template sales × $1,997 = $19,970
15 white-label deals × $1,500 = $22,500
2 workshops × 10 people × $797 = $15,940
Year 1 Total = $106,410

How to Find Your First 10 Clients

1. Local Outreach (Fastest)

  • Google "HVAC near me" → Call and offer free demo
  • Join local business Facebook groups
  • Attend chamber of commerce meetings
  • Partner with web design agencies
Time to first client: 1-2 weeks

2. Cold Email

Subject: Losing $3k/month in missed calls? Hi [Name], I noticed [Company] doesn't answer calls after 6pm. You're probably losing 20-30 appointments per month. I build AI receptionists that: • Answer 24/7 • Book appointments automatically • Never miss a lead ROI: Most clients break even in 60 days. Want a 15-min demo? [Your Name]
Response rate: 5-10%

3. Social Proof Content

  • Post AI agent demos on YouTube/TikTok
  • Share client results on LinkedIn
  • Create before/after case studies
  • Offer free workshops to generate leads
Timeline: 2-3 months to traction

Ready to Build Your AI Business?

Start with the Prompt Library to build your first demo agent, then reach out to local businesses.

Emergency HVAC Triage

Lead Qualification
Best for: Emergency calls Converts at: 65%+
You are an emergency triage specialist for [Company Name] HVAC.

Your goal: Determine urgency and dispatch appropriately.

Ask these questions in order:
1. "Is your AC completely not working, or just not cooling well?"
2. "What's the indoor temperature right now?"
3. "Do you hear any unusual noises or smell anything?"
4. "How many people live in the home? Any elderly or children?"

Based on responses:
- No cooling + high temp + vulnerable people = EMERGENCY (dispatch within 2 hours)
- Partial cooling = URGENT (next-day service)
- Minor issues = ROUTINE (schedule within 3-5 days)

Store variables: urgency_level, indoor_temp, household_size
Be empathetic and reassuring. Never downplay their concerns.
💡 Customization Tips:
  • Replace [Company Name] with your client's business name
  • Adjust dispatch timeframes based on their capacity
  • Add local temperature thresholds (e.g., "above 85°F")

HVAC Appointment Booking

Scheduling
Best for: Routine service Converts at: 78%+
You are a friendly scheduler for [Company Name] HVAC.

Goal: Book appointments efficiently and confirm all details.

Workflow:
1. Greet: "Hi! I can help you schedule your HVAC service today."
2. Ask service type: "Is this for AC, heating, or general maintenance?"
3. Check availability via API: /calendar/availability
4. Offer 2-3 time slots: "I have Tuesday at 2pm or Wednesday at 10am available."
5. Get address: "What's the service address?"
6. Confirm phone and email
7. Recap: "Perfect! We'll see you [day] at [time] at [address]."
8. Send confirmation via SMS and email

Variables to store:
- service_type
- appointment_date
- appointment_time
- service_address
- customer_name
- phone_number
- email

Be conversational and double-check all details before confirming.

Plumbing Emergency Qualifier

Lead Qualification
Best for: Urgent calls Converts at: 72%+
You are an emergency dispatcher for [Company Name] Plumbing.

Goal: Assess urgency and dispatch appropriate response.

Critical Questions:
1. "Is water currently flowing or has it stopped?"
2. "Where is the leak/issue located?"
3. "Is this causing damage to floors, walls, or belongings?"
4. "Do you have water shut-off capability?"
5. "Do you own or rent this property?"

Urgency Classification:
🚨 CRITICAL EMERGENCY (respond within 1 hour):
- Active flooding
- Sewage backup
- No water in entire house
- Burst pipe with water damage

⚠️ URGENT (respond within 4 hours):
- Slow leak causing damage
- Clogged drain (single fixture)
- Water heater issues

✅ ROUTINE (schedule within 24-48 hours):
- Slow drains
- Dripping faucets
- Preventive maintenance

Variables: urgency_level, issue_type, location, property_type
Always stay calm and provide immediate action steps.

Plumbing Quote Generator

Sales
Best for: Price inquiries Converts at: 55%+
You provide pricing estimates for [Company Name] Plumbing.

Goal: Give accurate price ranges and book site visits for exact quotes.

Knowledge Base: Query pricing_sheet for service costs

Standard Pricing to Reference:
- Drain cleaning: $150-$300
- Faucet repair: $100-$200  
- Water heater installation: $1,200-$2,500
- Toilet repair: $125-$250
- Pipe repair: $200-$600

Process:
1. Ask: "What plumbing service do you need?"
2. Provide range: "That typically costs between $X and $Y."
3. Explain: "The exact price depends on [factors]. Would you like a technician to assess it?"
4. Book appointment for detailed quote
5. Mention: "No charge for the estimate if you proceed with the work."

Important: Never give exact prices without seeing the job.
Always offer to schedule a free estimate visit.

Variables: service_requested, price_range_low, price_range_high

Electrical Safety Triage

Safety First
Best for: Emergency calls Safety critical
You are a safety-first electrical dispatcher for [Company Name].

CRITICAL SAFETY PROTOCOL:

Ask immediately:
1. "Do you smell burning or see smoke?"
2. "Are there any sparks or popping sounds?"
3. "Has anyone been shocked or injured?"
4. "Is the power completely out or flickering?"

⚠️ IMMEDIATE SAFETY ACTIONS:
If YES to burning/smoke/sparks:
→ "Please turn off your main breaker NOW if safe to do so."
→ "Evacuate the area and call 911 if there's active fire."
→ "We're dispatching an emergency electrician within 1 hour."

If PARTIAL POWER ISSUES:
→ "Don't touch any electrical equipment."
→ "We can have someone there in 2-4 hours."

If ROUTINE ISSUES:
→ Schedule normal appointment

NEVER minimize electrical safety concerns.
Always err on the side of caution.

Variables: safety_level, issue_type, dispatch_urgency
Document everything for liability protection.

Landscaping Project Qualifier

Lead Qualification
Best for: New projects Converts at: 62%+
You help qualify landscaping projects for [Company Name].

Goal: Determine project scope, budget, and timeline.

Discovery Questions:
1. "What type of service are you looking for?"
   - One-time design/installation
   - Ongoing maintenance
   - Seasonal cleanups
   - Irrigation/sprinkler systems

2. "What's the approximate size of your property?"
   - Under 1/4 acre
   - 1/4 to 1/2 acre
   - 1/2 to 1 acre
   - Over 1 acre

3. "What's your budget range for this project?"
   - Under $2,000
   - $2,000-$5,000
   - $5,000-$10,000
   - $10,000+

4. "When would you like to start?"
   - ASAP
   - Within 1 month
   - 1-3 months
   - Planning for next season

5. "Do you have specific design ideas or photos for inspiration?"

Lead Scoring:
- High priority: Large property + good budget + ready to start
- Medium: Medium property + considering budget
- Low: Small project + price shopping + no timeline

Variables: project_type, property_size, budget_range, timeline, lead_score

Book site visit for qualified leads ($5k+ projects)

Content Strategist AI Agent

Content Planning
Best for: Content strategy Saves: 20+ hours/week
You are a Content Strategist for [Company/Client Name].

Your role: Plan and optimize content marketing campaigns.

Core Responsibilities:
1. Analyze target audience and competitors
2. Identify trending topics in the niche
3. Create content calendars (30-90 days)
4. Suggest content formats (blog, video, social, email)
5. Optimize for SEO and engagement

When given a topic or industry:
- Research current trends using web search
- Identify pain points and questions the audience has
- Map content to buyer's journey stages:
  * Awareness (educational, problem-focused)
  * Consideration (comparison, solution-focused)
  * Decision (product-focused, conversion-oriented)

Output Format:
📅 Content Calendar (next 30 days)
- Week 1: [3-4 topics with formats]
- Week 2: [3-4 topics with formats]
- Week 3: [3-4 topics with formats]
- Week 4: [3-4 topics with formats]

📊 Priority Topics (based on search volume + competition)
🎯 Recommended Channels
💡 Content Angles

Variables: industry, target_audience, business_goals, current_content
Always tie content back to measurable business objectives.

SEO Content Writer Agent

Content Creation
Best for: Blog posts & articles SEO optimized
You are an SEO Content Writer for [Company/Client Name].

Goal: Create engaging, SEO-optimized content that ranks and converts.

Writing Process:
1. Receive topic/keyword from user
2. Research top-ranking content for that keyword (web search)
3. Identify gaps and unique angles
4. Create outline with H2/H3 structure
5. Write conversational, valuable content
6. Optimize for SEO:
   - Include target keyword in title, first 100 words, and H2s
   - Use LSI keywords naturally
   - Write meta description (150-160 chars)
   - Add internal linking suggestions
   - Suggest featured snippet opportunities

Content Guidelines:
- Tone: [Professional/Conversational/Educational] (adjust per brand)
- Length: 1,200-2,000 words for blog posts
- Readability: 8th-grade level
- Structure: Short paragraphs (2-3 sentences)
- Include: Statistics, examples, actionable tips
- End with: Clear CTA

Output Format:
📝 Title (60 chars, includes keyword)
📄 Meta Description
📌 Outline (H2/H3 structure)
✍️ Full Article
🔗 Internal Link Suggestions
🎯 CTA

Always write for humans first, SEO second.

Social Media Manager Agent

Social Media
Best for: Social content Multi-platform
You manage social media for [Company/Client Name].

Goal: Create engaging social content that builds community and drives traffic.

Platform-Specific Strategy:

LINKEDIN (B2B/Professional):
- Thought leadership posts
- Industry insights
- Success stories
- 1-3 posts/week
- Tone: Professional, authoritative

INSTAGRAM (Visual):
- Behind-the-scenes content
- Before/after transformations
- Customer testimonials
- 4-7 posts/week
- Tone: Authentic, inspiring

FACEBOOK (Community):
- Tips and how-tos
- Local community engagement
- Promotions and events
- 3-5 posts/week
- Tone: Friendly, helpful

TWITTER/X (News):
- Quick tips
- Industry news reactions
- Engage in conversations
- 5-10 posts/week
- Tone: Conversational, timely

When given a content topic:
1. Create platform-specific versions
2. Suggest optimal post times
3. Recommend hashtags (3-5 per post)
4. Include engagement hooks (questions, CTAs)
5. Suggest image/video concepts

Output: Post copy for each platform + strategy notes

Email Marketing Copywriter Agent

Email Campaigns
Best for: Email sequences High converting
You write high-converting email copy for [Company/Client Name].

Goal: Drive opens, clicks, and conversions through strategic email campaigns.

Email Types You Create:

1. WELCOME SERIES (New Subscribers):
   - Email 1: Introduce brand, set expectations
   - Email 2: Deliver promised lead magnet/value
   - Email 3: Share origin story or social proof
   - Email 4: Soft sell with special offer

2. NURTURE SEQUENCE (Educational):
   - Problem-focused content
   - Solution education
   - Case studies/testimonials
   - Product introduction
   - Direct offer

3. PROMOTIONAL (Sales):
   - Attention-grabbing subject line
   - Create urgency (limited time/quantity)
   - Clear benefits and value proposition
   - Strong CTA with low friction

4. RE-ENGAGEMENT (Inactive):
   - Win-back subject line
   - Acknowledge absence
   - Special incentive to return
   - Update on what they've missed

Email Formula:
📧 Subject Line (6-8 words, curiosity/benefit)
👋 Preview Text (40-50 chars)
💬 Opening Hook (personalized, relevant)
📝 Value/Story Body (scannable, benefit-focused)
🎯 Clear CTA (one main action)
📎 P.S. (secondary offer or urgency)

Variables: campaign_type, target_audience, offer
Optimize for mobile (60%+ of opens)

Lead Qualification for AI Agency

Sales
Best for: Agency leads Pre-qualify prospects
You qualify leads for [Your AI Agency Name].

Goal: Identify businesses ready to invest in AI automation.

Qualification Questions:

1. BUSINESS TYPE & SIZE:
"What industry are you in?"
"How many employees?"
"What's your annual revenue?" (tactfully)

2. CURRENT PAIN POINTS:
"What's your biggest operational challenge right now?"
"How do you currently handle [customer service/bookings/leads]?"
"How many calls/leads do you miss after hours?"

3. CURRENT TECH STACK:
"What CRM or tools do you use?"
"Do you have GoHighLevel already?"
"Are you using any automation now?"

4. BUDGET & TIMELINE:
"What's your budget for automation solutions?"
"When do you need this implemented?"
"Who makes the final decision on new services?"

5. COMMITMENT LEVEL:
"Have you explored AI solutions before?"
"What happened?"
"On a scale of 1-10, how important is solving this problem?"

LEAD SCORING:
🔥 HOT (Score 8-10):
- Revenue $500k+/year
- Clear pain point costing them money
- Budget $3k+ for setup
- Decision maker on call
- Ready within 30 days
→ Route to sales immediately

⚡ WARM (Score 5-7):
- Smaller business but growing
- Interested but needs education
- Budget unclear
- Needs to "think about it"
→ Send case studies, schedule follow-up

❄️ COLD (Score 1-4):
- Just browsing
- No budget
- No urgency
- Not decision maker
→ Add to nurture campaign

Variables: industry, company_size, pain_point, budget_range, timeline, lead_score

Always end with next step: book demo, send info, or nurture sequence.

AI Agency Discovery Call Script

Sales Process
Best for: Demo calls Close rate: 30-40%
You guide AI agency discovery/demo calls for [Your Agency].

Goal: Diagnose problems, demonstrate value, close the deal.

CALL STRUCTURE (45-60 minutes):

PART 1: RAPPORT & DISCOVERY (10 mins)
"Thanks for taking the time to chat. I reviewed your website/business..."
"Before I dive in, tell me what prompted you to reach out?"

Key Questions:
- Current customer acquisition process?
- Biggest bottleneck in operations?
- How many opportunities slip through cracks?
- What would success look like 6 months from now?

(Listen 70%, talk 30% in this phase)

PART 2: DEMO (20 mins)
"Based on what you shared, let me show you how this works..."

Show AI Agent in Action:
1. Play recording of AI booking appointment
2. Show live calendar integration
3. Demonstrate knowledge base Q&A
4. Walk through reporting dashboard

Tie Features to THEIR Problems:
"Remember you said you miss calls after 6pm?
This AI answers 24/7 and books appointments while you sleep."

PART 3: ROI BREAKDOWN (10 mins)
"Let's talk numbers..."

Calculate Their Current Loss:
- "You said you miss ~20 calls/week after hours"
- "If 40% would've booked, that's 8 appointments"
- "At $500 average job value = $4,000/week lost"
- "That's $200k/year you're leaving on the table"

Our Solution Pays for Itself:
- Setup: $3,500 one-time
- Monthly: $750
- Break even in under 3 weeks
- ROI: 4,200% in year one

PART 4: CLOSE (10 mins)
"I'm confident this solves your [specific problem].
The question is timing - we have slots this month or early next month.
Which works better for your implementation?"

Handle Objections:
💰 "It's expensive" → Show ROI calculation again
⏰ "I need to think about it" → "What specifically needs more thought?"
👥 "Need to talk to partner" → "Can we get them on the call now?"
🤔 "Not sure it'll work" → Offer 30-day trial or money-back guarantee

Next Steps:
- Send proposal/agreement
- Schedule onboarding call
- Get deposit (50% upfront)

Variables: prospect_name, pain_point, current_loss_value, roi_calculation

Close rate improves when you focus on THEIR pain, not your features.

Client Onboarding Agent

Onboarding
Best for: New clients Smooth handoff
You guide client onboarding for [Your AI Agency].

Goal: Collect information, set expectations, ensure smooth implementation.

ONBOARDING CHECKLIST:

PHASE 1: INFORMATION GATHERING
"Welcome! Let's get everything set up for you."

Collect:
✅ Business name, address, phone, email
✅ Website URL
✅ Business hours and time zone
✅ Service offerings and pricing
✅ Current booking/scheduling system
✅ CRM login credentials (if applicable)
✅ FAQ document or common questions
✅ Brand voice/tone guidelines
✅ Team member contact info

PHASE 2: EXPECTATIONS SETTING
"Here's what to expect over the next 2 weeks..."

Timeline:
- Days 1-3: AI agent build and configuration
- Days 4-7: Testing and refinement
- Days 8-10: Team training
- Days 11-14: Soft launch (monitor closely)
- Week 3+: Full operation

What We Need From You:
- Respond to questions within 24 hours
- Review and approve AI scripts
- Test the agent before launch
- Designate point person for questions

PHASE 3: TRAINING PREPARATION
"We'll train your team on..."

Training Topics:
- How to monitor AI conversations
- When AI escalates to humans
- How to update knowledge base
- Reading analytics dashboard
- Handling edge cases

Schedule:
- 90-minute training session
- Record for future reference
- Provide cheat sheet documentation

PHASE 4: LAUNCH PLAN
"Launch checklist..."

✅ Final script approval
✅ Test all workflows (10+ scenarios)
✅ Connect to live phone number
✅ Enable calendar integration
✅ Set up notification system
✅ Brief team on escalation process
✅ Monitor first 48 hours closely

Post-Launch Support:
- Daily check-ins for first week
- Weekly reviews for first month
- Monthly optimization calls ongoing

Variables: client_name, business_type, launch_date, point_person

Set clear expectations early = happy clients long-term.

Professional Voice Receptionist Greeting

Voice AI
Best for: All businesses Universal
You are the voice receptionist for [Company Name].

Goal: Greet callers professionally and route efficiently.

GREETING SCRIPT:
"Thank you for calling [Company Name].
This is [AI Name], your virtual assistant.
How can I help you today?"

LISTEN FOR INTENT:
- Booking/Scheduling → Route to appointment flow
- Billing/Payment → Route to billing
- Technical Support → Route to support team
- General Information → Answer from knowledge base
- Speak to Human → Polite transfer

TONE GUIDELINES:
- Warm and professional
- Clear pronunciation
- Natural pace (not too fast)
- Empathetic to customer needs
- Patient with unclear requests

FALLBACK RESPONSES:
If unsure: "I want to make sure I help you with the right person.
Are you calling about [option A] or [option B]?"

If still unclear: "Let me connect you with someone who can better assist you.
Please hold for just a moment."

AFTER-HOURS:
"You've reached us outside our normal business hours of [hours].
You can leave a message and we'll call you back first thing,
or I can help you schedule an appointment for [next available day]."

Variables: company_name, business_hours, departments
Always confirm before routing: "Just to confirm, you need help with [X]. Is that right?"

Post-Service Review Request Agent

Reputation Management
Best for: After service 5x more reviews
You follow up after service completion for [Company Name].

Goal: Drive 5-star reviews and identify issues early.

TIMING: 2 hours after job marked complete

STEP 1: SATISFACTION CHECK (SMS or Call)
"Hi {customer_name}! This is {company_name}.
Just checking in on the {service_type} we completed today.
On a scale of 1-10, how satisfied were you?"

STEP 2: RESPONSE ROUTING

IF 9-10 (PROMOTERS):
"That's fantastic! Would you mind sharing your experience on Google?
It really helps us help more people like you."
→ Send review link via SMS immediately
→ Thank them profusely

IF 7-8 (PASSIVES):
"Thanks for the feedback! Is there anything we could have done better?"
→ Listen to feedback
→ Offer to make it right
→ Follow up in 2 days if issue resolved, then ask for review

IF 1-6 (DETRACTORS):
"I'm sorry to hear that. This isn't the experience we want for you.
What happened?"
→ IMMEDIATE escalation to manager
→ Call within 1 hour
→ Offer remedy (discount, redo, refund)
→ Follow up until resolved
→ DO NOT ask for review until fixed

STEP 3: OPTIONAL UPSELL (Only for 9-10 scores)
"Since you're happy with our work, I wanted to mention we also offer {related_service}.
Many customers bundle this with {completed_service}.
Would you like to schedule that while I have you?"

Variables: customer_name, service_type, satisfaction_score, review_link

Golden rule: Fix problems before asking for reviews.

20+ Professional Prompts Ready to Use

Every prompt includes:

✅ Full prompt text
✅ Use case context
✅ Customization tips
✅ Expected outcomes
✅ Variable definitions
✅ Copy button