AI Voice Development Projects in Lagos
AI Voice Development Projects in Lagos
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Daniel Flow
I just sold a $499 automation system to a scraping company. Not because AI is trendy. Not because automation sounds cool. Because speed protects revenue. They were generating inbound calls… but response delays were quietly killing conversions. And in business, momentum is money. So we built a system that: • Answers every call instantly • Eliminates missed calls completely • Qualifies and routes automatically • Requires zero manual handling No latency. No bottlenecks. No human dependency. Let me ask you something: But if a high-intent lead cools off before first contact, nothing downstream matters. Most teams obsess over funnels and ads. Speed isn’t operational. It’s strategic. Fix the response time. Everything else compounds.
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Goodnews Egbewale
Day 3 Autopilot Hub: Expert n8n Architecture Series I produced a high-quality technical demonstration series aimed at distinguishing "n8n Architects" from standard users. The project focused on the "Physics of Automation," teaching advanced concepts like n8n's array-based execution model vs. linear task automation. Key Deliverables: Curriculum: Lessons on Nodes vs. Tasks and JSON data structures. AI Production: Integrated ElevenLabs voiceovers with technical screen recordings. Engineering: Built live JS/Code Node workflows to demonstrate scalability. Pipeline: Handled full production: scripting, AI synthesis, Loom & editing.
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Patrick Banjo
AI Virtual Tutor This project involved building a personalized educational experience using an n8n ai agent architecture. By analyzing the interaction flow, I set up a system where student queries are processed through a retrieval-augmented generation (RAG) pipeline. I used n8n automation to connect a frontend chat interface with a vector database in Notion, allowing the AI to pull from specific course materials. As an n8n workflow specialist, I ensured the api integration handled conversational memory, making this ai chatbot far more capable than a standard LLM. It’s a prime example of high-level ai automation designed for the future of EdTech.
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Godfrey Ofure
AI Agent App – Drive to Gmail Experience by AmazingUI
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Nwoyi Philip
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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Valentine Cheluchi
Chelucaller: Real Estate AI Voice Agent
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Daniel Flow
I just finished creating a voice AI call assistant for one of my real estate clients in India, and the results are already impressive. Check out this video of him testing the system in real-time: 1. Answers calls automatically 2. Books appointments without human intervention 3. Sends confirmations & reminders instantly For real estate brokers, every missed call is lost revenue. With this AI assistant, you never miss a lead, save hours every week, and can focus on closing deals instead of answering calls. 💡 Imagine having this system for your business. DM me if you want to see a live demo and how it can transform your client acquisition.
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Patrick Banjo
AI Survey & Feedback Collector I engineered this AI automation to transform passive feedback into real-time business intelligence. The workflow starts when a user submits a response via Typeform or Google Forms, which triggers a make.com (http://make.com) scenario via a webhook. I integrated OpenAI to perform sentiment analysis and categorization on the text, then used an API integration to route high-priority "negative" sentiment alerts to Slack while archiving all data in Airtable. This make.com (http://make.com) automation (formerly Integromat) ensures no customer concern goes unnoticed, showcasing my expertise as a make.com (http://make.com) expert in sentiment-driven workflow automation.
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Daniel Flow
Every missed call is lost revenue. Every delayed response is a client slipping away. Watch this AI voice call assistant: 1. Answers calls automatically 2. Books appointments in real-time 3. Sends confirmations & reminders instantly For real estate brokers and business owners, this isn’t just automation, it’s a revenue machine. Capture every high-intent lead, day or night, while competitors are still manually answering calls. 💡 DM me for a live demo and see how this system can double your appointments in days.
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Patrick Banjo
AI Real Estate Property Guide I created this ai chatbot to act as a 24/7 digital concierge for real estate agencies. Using make com and airtable, the automation allows potential buyers to ask questions about specific listings and receive instant, data-backed answers. I optimized the make scenario for high concurrency and included a whatsapp chatbot integration for mobile users. Whether you need a make com fix, a make com tutor to explain the logic, or a fresh api integration, this project demonstrates my ability to build high-converting ai receptionist tools for any industry.
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Daniel Flow
Every missed call is lost revenue. Every delayed response is a buyer slipping away. Imagine a voice AI assistant that: • Speaks 30 languages • Books appointments automatically • Sends confirmations and reminders instantly • Works 24/7, never misses a lead For real estate brokers, this isn’t a luxury, it’s your revenue machine. While competitors answer calls manually, you capture every high-intent inquiry, day or night, local or international. Stop leaving money on the table. Step into the future of automated client acquisition. 💡 DM me if you want a demo and see how top brokers are doubling their appointments in days.
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Patrick Banjo
AI Podcast Co-Host This is a cutting-edge vapi ai agent workflow designed for the creator economy. I built a make scenario that integrates Vapi with Descript to automate the recording and initial "rough cut" of podcast episodes. This youtube automation and workflow automation powerhouse uses api integration to sync transcripts and audio files instantly. As a make expert, I ensured this make com automation (often referred to as integromat by old-school pros) handles multi-track audio processing. It’s a complete n8n workflow for anyone looking to scale content with ai.
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Daniel Flow
If you’re a business owner using a Voice AI agent, this might feel familiar. Your phone gets answered. The conversation sounds good. Leads aren’t being missed. But somehow, things still feel messy. You’re not fully confident what the AI handled. Details don’t always land cleanly in your CRM. Bookings sit half-confirmed. Follow-ups don’t always fire. Someone on your team ends up checking things manually, just to be safe. So even though calls are being answered, nothing feels properly closed. That’s the problem I’m usually brought in to fix. Voice AI doesn’t fail because it can’t talk. It fails when the handoff after the call isn’t solid. When this is set up properly, calls trigger actions automatically. Data is logged cleanly. Bookings are confirmed. Follow-ups happen without chasing. Kindly dm me and i'll create one just for you
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Patrick Banjo
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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Patrick Banjo
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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Patrick Banjo
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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