Freelancers using Retell Ai in Lagos
Freelancers using Retell Ai in Lagos
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Patrick Banjo
Lagos, Nigeria
AI systems to automate and scale your business
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AI systems to automate and scale your business
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AI Order Taking Agent I developed this ai receptionist and ai voice agent to handle high-volume transactions without human intervention. By connecting a voice interface to Square via a custom make com scenario, the system can take orders, process payments, and update inventory in real-time. This make com automation is highly versatile—I've even adapted parts of this make automation logic for make com shopify stores. If your current automation is broken, I can fix make com errors or fix workflow bottlenecks to ensure your api integration never misses a sale.
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AI Lead Qualification Agent I built this ai automation to solve the "speed to lead" problem for sales teams. Using a sophisticated make com scenario, the agent instantly processes incoming leads from a webhook and cross-references data via airtable. This make automation determines if a lead is "sales-ready" before notifying the team. As a make com expert, I leveraged api integration to ensure data flows perfectly between the chatbot and the CRM. Whether you call it make com or integromat, this workflow automation is a masterclass in n8n lead generation and efficiency.
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AI Interactive Storyteller This is a creative application of ai automation where I used vapi ai and notion to create an immersive, voice-driven narrative experience. The backend logic is managed via make com, where I developed a complex make scenario to track user choices and update the story state in real-time. By leveraging api integration and a custom make com automation, the system provides a low-latency, conversational UI. This project showcases my ability to think outside the box as a make expert, pushing the boundaries of what a standard ai chatbot can do.
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AI Customer Support Agent (RAG-Based) I designed and deployed an ai chatbot capable of resolving 80% of common support tickets. The system is powered by a make com automation that connects a frontend chat interface to an airtable database for retrieval-augmented generation (RAG). As a make com expert, I optimized the make com scenario to ensure fast response times and accurate data fetching through a custom api integration. This workflow automation also includes a fallback to a human agent, showing my ability to fix workflow gaps in high-stakes automation environments.
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Retell Ai
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Nwoyi Philip
Lagos, Nigeria
I Build High ROI Voice AI Operating Systems
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I Build High ROI Voice AI Operating Systems
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This workflow links an AI voice agent to HubSpot to automate all outbound and inbound lead calls. It pulls reactivated leads on a schedule, qualifies them, books meetings, updates CRM records, and handles new or existing contacts automatically. It also answers inbound calls instantly, preventing missed leads and improving speed-to-lead. HubSpot users get a fully hands-free appointment-generation system that runs reliably without manual effort.
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Applying to jobs is exhausting. You find a role you want. Copy the description. Rewrite your CV to match. Hope it gets past the ATS. Repeat 50 times. Most people give up halfway through. What I built: A multi-agent system powered by CrewAI that handles the entire process autonomously: Parser Agent extracts your skills and experience from your base CV Job Analyst Agent scrapes the job posting and identifies exactly what they want CV Writer Agent rewrites your CV to perfectly match their requirements Scorer Agent rates your final CV out of 100 and suggests improvements How it works: Drop in a job URL. The system handles everything—scraping, analyzing, rewriting, scoring. You get an ATS-optimized CV tailored to that specific role in minutes. Template Link: https://github.com/Nwoyi/cv_multi_agent.git
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How I Built a 24/7 SSDI Screening Agent That Turned Missed Calls Into Signed Clients A law firm had a problem costing them money daily: calls flooding in, but nobody to answer. Every missed call was a potential client searching elsewhere. Money walking out the door. What I built: A 24/7 AI voice agent that: Answers every call, any time Collects details and asks qualifying questions Determines SSDI eligibility Auto-sends a retainer agreement pre-filled with their info The result? Qualified callers only add their SSN and sign. That's it. The firm went from losing opportunities to onboarding clients faster than ever. No missed calls. No lost revenue. Just a system that works while they sleep.
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The Voice AI dilemma: Do you need highly accurate, human-like understanding (slow 🐢), or lightning-fast, rule-based responses (fast 🐇)? What's your priority?
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