Freelancers using Retell Ai in United States
Freelancers using Retell Ai in United States
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Krittiya Clark
pro
Burlington, USA
I Build MVPs & AI Voice Agents That Ship Fast
$25k+
Earned
5x
Hired
5.0
Rating
90
Followers
Top
Club
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I Build MVPs & AI Voice Agents That Ship Fast
5
Most people think Claude Code just writes code. It doesn't. It builds systems and skills are how you make it build yours. Here's what a Claude Code skill actually is: A skill is a set of instructions Claude Code reads before it builds anything. → Instead of guessing how your tools work, it reads the exact rules you gave it then builds correctly the first time. → Think of it like onboarding a contractor. You don't want them guessing. You give them the manual. It knows your stack, not just generic code. → Without a skill, Claude Code builds something that looks right but breaks in your environment. → With a skill, it knows your exact tools, your exact setup, and your exact rules before it writes a single line. It saves you from fixing AI mistakes. → Vibe-coded builds break because the AI was guessing. Skills stop the guessing. → You get working output the first time not three rounds of debugging something that should have been right. It scales your business without scaling your headcount. → You write the skill once. Every future build inherits it. → One set of rules. Infinite consistent builds. Here's one I'd build right now: Retell AI skill. → Every voice AI project runs through Retell agents, phone numbers, functions, post-call analysis, all of it. → A skill for it means Claude Code knows exactly how to configure agents, wire up webhooks, and connect the stack without guessing the setup every single time. Build the skill once. Never explain your stack again. Follow Krittiya Clark (https://www.linkedin.com/company/109508261/admin/page-posts/published/?share=true#) - I document every build.
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Every n8n workflow has the same shape. Three parts. Every single time. Trigger → Processing → Action That's it. Let me break it down in plain English: Trigger → This is what starts the whole thing — a phone call ends, a form gets submitted, an email lands in your inbox. → Nothing runs until the trigger fires. It's the domino that tips everything else. Processing → This is the middle — where the workflow reads the data, makes decisions, and branches based on conditions. → "If the caller wants to book, go this way. If they want to cancel, go that way." Logic. Rules. No guessing. Action → This is the outcome — log the CRM, send the confirmation email, book the calendar slot, send a confirmation SMS. → This is the part the business actually sees. Everything before it exists just to make this happen correctly. Here's a real one from my own work: AI receptionist takes a call → n8n reads what the caller needed, checks which service they asked about, confirms the appointment details → books the slot in Google Calendar and sends the client a confirmation SMS. No human touching it. No appointment falling through the cracks. That's what n8n does. It takes the conversation and turns it into a business outcome. The AI talks. n8n does the work. Follow @krittiyaclark — I document every build.
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Most plumbing companies don't have a lead problem. They have a phone problem. Owners think they answer nearly every call. The real number is closer to two-thirds. The average plumbing job is worth $300–$800. Most people who hit voicemail don't leave one. They just call the next plumber on the list. So every missed call is a job walking straight to your competitor. It was never a marketing problem. You already paid to make that phone ring. You just couldn't pick it up fast enough. → So I built an AI receptionist that answers every call, day or night. (With Retell AI) → It doesn't just take a message. It checks your actual Google Calendar on the spot, gives the caller real open times, and books the job. → The second the booking is confirmed, the customer gets a text with all the details automatically. → No double bookings. No phone tag. No jobs falling through because nobody got back to them. One recovered job pays for the entire thing. If your phone goes unanswered more than you'd like, this is the fix.🔥
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Most people think AI receptionists are just chatbots on the phone. They're not. Here's the actual stack behind a real AI voice agent: → LLM APIs — the brain. GPT, Claude, Gemini — this is where the actual thinking happens. → Retell AI — handles the live phone call. Listens, responds, books. No human needed. → n8n — connects everything. If Retell is the person talking, n8n is the one actually doing the work behind the scenes. → Google Calendar — appointments land here automatically. Zero manual entry. → Google Sheets — lightweight CRM for call logs, lead data, client records. Five tools. One system. Infinite calls. This is the stack I'm learning to build real AI agents on. Follow Krittiya Clark (https://www.linkedin.com/in/ai-automation-partner/) —I document every build.
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2
152
Retell Ai
(5)
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Eric Moore
pro
United States
AI Product Builder | Apps, Voice Agents & Revenue Automation
20
Followers
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AI Product Builder | Apps, Voice Agents & Revenue Automation
0
Airtight Revenue, an AI voice receptionist for HVAC shops that answers missed calls, triages emergencies, and texts a booking link. Built on Retell with GPT-4.1 Mini. The part I am proudest of: it is tested like a product. A 43-scenario behavioral QA suite covers core flows, compliance, adversarial jailbreak attempts, and Spanish calls, scored by an LLM judge. Any emergency-scenario failure blocks deploy. The AI-disclosure first line is hardcoded because compliance law is not a place for creativity.
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235
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Ask Ms. Ivey: A Parent-Education Revenue and Fulfillment System
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21
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DecideNorth: Deterministic Scoring, AI on Exactly One Surface
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12
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AnswerTrace: An Evidence-First AI Visibility Command Center
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13
Retell Ai
(1)
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Adam Johnson
Houston, USA
CRM & AI Implementation Consultant | Workflow Automation
New to Contra
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CRM & AI Implementation Consultant | Workflow Automation
0
AI Lead-to-Appointment Workflow Implementation
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Created new AI systems for MediaCare, an interated medical billing company
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6
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Used Retell AI to integrate Cal for a medical licensing company, that led to human handoff, escalation and calendering
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6
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Recent creation of CRM & AI Workflow
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4
Retell Ai
(1)
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Ben Kern
max
Defiance, USA
I streamline, automate, and scale business systems.
$50k+
Earned
9x
Hired
5.0
Rating
33
Followers
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I streamline, automate, and scale business systems.
0
Ai Appointment Scheduling for New Leads
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18
1
WordPress Revamp & Keycafe Self-Service Automation
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7
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Auto PDF Contract Package Generation
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16
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Automated Foreclosure Data Intake
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26
Retell Ai
(1)
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John Bolin
Dallas, USA
Kajabi Expert | Web Automation System
5.0
Rating
6
Followers
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Kajabi Expert | Web Automation System
2
Voice Agent RAG System for Inbound Customer Support
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8
2
Custom Kajabi Website for Professional Consulting Firm
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9
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Custom Kajabi Website and Member Experience Build
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9
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VR The Movement Kajabi Platform Redesign
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5
Retell Ai
(1)
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Ed Escobar
Miami, USA
Full-Stack Developer: AI & Conversational Agents
15
Followers
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Full-Stack Developer: AI & Conversational Agents
0
Voice AI Conversational AI — Full-Stack Development
0
4
23
Hang – Self-Service Campaign & Loyalty Manager
23
335
0
BidX – AI-Powered Grant & Tender Assistant
0
51
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Waterfront: Parking Marketplace for Truckers and Yard Owners
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35
Retell Ai
(1)
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Stone Ross
Kennett Square, USA
AI Automation Engineer | Voice AI, Agents, Revenue Systems
New to Contra
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AI Automation Engineer | Voice AI, Agents, Revenue Systems
0
The Streaming Voice Gateway Behind Every Call
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3
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The Eval Harness That Gates Every Deploy
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7
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The Multi Tenant AI Agent Platform Behind My Client Work
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4
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GTM Data Engine: 2,673 Enriched Decision Maker Records
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5
Retell Ai
(2)
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Kishan Patel
Sterling, USA
Automation and Software engineer
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Automation and Software engineer
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Voice agent that can access information dynamically
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11
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Voice agent that can send Stripe invoices
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18
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Automation that can send personalized messages
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9
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Jenkins automation that can make a Unity build
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2
Retell Ai
(2)
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