Freelance AI Voice Developers in Agege
Freelance AI Voice Developers in Agege
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Louis Dodou
Lagos, Nigeria
The AI Trick That Closed $10K While I Slept
5.0
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19
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The AI Trick That Closed $10K While I Slept
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The call that changed how I think about AI voice agents. I was reviewing a call recording for a client a real estate business running our Vapi AI agent on inbound leads. A prospect called asking about a property. Standard stuff. The agent handled it clean. Then the prospect said: "Actually, I'm not sure I'm ready to buy. My wife and I are still deciding." The agent didn't push. Didn't read from a script. It said something like: "That makes sense it's a big decision. Can I ask what's holding you back most right now?" The prospect opened up. Gave 4 minutes of real objection data. The agent acknowledged each one, offered relevant information, and suggested a low-pressure follow-up call. That prospect booked an appointment three days later. No human was on that call. No human wrote that response. The agent was doing what a great salesperson does — listening, adapting, and creating space. That's when I stopped thinking of AI voice as a cost-saving tool. It's a revenue tool. → I build these for service businesses. DM me if you want to see one live.
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Website Chatbot — The Magic Dry Cleaners A website visitor shouldn't have to hunt for information or wait for a response. This chatbot handles them the moment they land. Built a conversational chatbot flow for The Magic Dry Cleaners that greets visitors, identifies their intent, and guides them down the right path. Visitors choosing dry cleaning get walked through item categories clothes, furniture, or other then introduced to the business and prompted to book. Those just browsing get a friendly hold message. Anyone asking who the business is gets a quick company intro with a call-to-action. Lead capture kicks in the moment someone shows buying intent, collecting their name before moving them forward. Friendly, on-brand, and built to convert browsers into bookings. Stack: Chatbot Builder · Conversational Flow · Lead Capture
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Built a Make.com (http://Make.com) automation that connects a Vapi AI voice agent directly into GoHighLevel handling real-time call data, routing logic, and CRM updates without manual intervention. The flow captures inbound webhook events from Vapi, processes them through an OpenAI completion layer, hits a dynamic HTTP endpoint, then routes outcomes through a custom decision tree triggering either a callback webhook or a variable-setting + GHL update path depending on the call result. Stack: Vapi · Make.com (http://Make.com) · OpenAI · GoHighLevel · Custom Webhooks Clean, reliable, and built to scale across high call volumes.
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About Louis Dodou
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244
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Daniel Flow
Lagos, Nigeria
AI Automation Specialist | n8n, Make, GHL & AI Agents
1x
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77
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AI Automation Specialist | n8n, Make, GHL & AI Agents
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I BUILT THIS AI RECEPTIONIST IN OCTOBER 2025… BEFORE I EVEN CREATED MY LINKEDIN PROFILE 🤖 While going through some of my previous automation builds, I came across this project I built back in October 2025. At the time, I was experimenting with how AI could handle repetitive customer interactions without human intervention. The idea was simple: What if a business could have a receptionist that answers customers 24/7, books appointments, updates systems, and sends confirmations automatically? So I built an AI receptionist workflow using: 🔵 ElevenLabs (voice AI) 🔵 n8n (automation workflow) 🔵 Google Calendar 🔵 Google Sheets 🔵 CRM integration Here is how it works: A customer calls the AI receptionist and requests a reservation. The AI agent: ✅ Understands the customer's request ✅ Collects important details (name, date, time, number of guests) ✅ Confirms the information ✅ Creates the calendar event automatically ✅ Adds the reservation details into Google Sheets ✅ Sends confirmation messages No manual data entry. No missed information. No switching between different tools. Just a complete automated booking system. Looking back at this build, it reminds me how quickly AI automation has evolved. What used to require a person handling every single request can now be handled by intelligent systems working in the background. The future of business operations is not replacing people. It's removing repetitive tasks so people can focus on higher-value work. What is one repetitive process in your business that you would automate first?
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I BUILT AN AI TRAVEL AGENT THAT PLANS AN ENTIRE TRIP IN MINUTES ✈️🤖 Planning a trip usually means opening 10 different tabs. ❌ Searching for flights ❌ Comparing hotels ❌ Looking for activities ❌ Saving links ❌ Organizing everything manually So I built an AI Voice Agent using ElevenLabs + n8n that does it all through a simple conversation. Here's how it works: 🔵 The AI asks where you're traveling from and your destination. 🔵 It collects your travel dates and number of travelers. 🔵 It asks about your preferred activities. 🔵 It generates a complete personalized travel itinerary. 🔵 It emails everything directly to you. The final result includes: ✅ Flight recommendations ✅ Resort and hotel options ✅ Direct booking links ✅ Personalized activity recommendations ✅ A complete travel plan delivered automatically The exciting part isn't just that it answers questions. It's that the AI understands the conversation, gathers the right information, and turns it into a personalized travel experience without any manual research. This is where AI agents are heading. Not just answering questions... But completing real tasks from start to finish. What business process would you trust an AI agent to handle for you?
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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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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
Lagos, Nigeria
AI systems to automate and scale your business
New to Contra
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AI systems to automate and scale your business
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AI Cold Calling System for Insurance Agencies | AI Voice Agent, Vapi AI, n8n Automation & OpenAI Integration An insurance agency needed a scalable AI cold calling system to automate outbound lead generation, reduce manual calling time, and improve appointment booking efficiency. The client wanted an AI voice agent capable of making outbound calls, qualifying insurance prospects in real time, and transferring high-intent leads directly to live insurance representatives. To solve this, I developed a custom AI automation workflow using Vapi AI, OpenAI, Twilio, and n8n workflow automation. The AI calling agent was trained to handle natural conversations, answer common insurance questions, qualify prospects based on predefined criteria, and route hot leads to human agents instantly. The system included conversational AI logic, AI voice automation, webhook integrations, and automated workflow triggers for seamless lead management. Using OpenAI API and conversational AI capabilities, the voice assistant delivered human-like interactions that improved customer engagement and increased response rates. I also implemented Twilio call handling and n8n automation workflows to manage outbound calls, lead tracking, follow-up automation, and CRM-ready data synchronization. The workflow reduced manual workload for the insurance sales team while improving operational efficiency and lead conversion performance. Key features included: AI cold calling automation AI voice calling agent Outbound call automation Real-time lead qualification Conversational AI workflows AI appointment booking support Twilio phone system integration OpenAI API integration n8n workflow automation AI customer support handling AI sales agent functionality CRM workflow automation AI receptionist capabilities Automated lead routing to live agents This project helped the client modernize their insurance sales process using AI automation, voice AI, and workflow automation technology while creating a scalable outbound lead generation system optimized for business growth. Tools & Technologies Used Vapi AI n8n OpenAI API Twilio Webhook Integrations AI Voice Agent Workflows Conversational AI Automation CRM Integration Systems Keywords: ai automation | chatbot | openai api | workflow automation | n8n | ai chatbot | ai agents | make com automation | crm integration | ai developer | chatgpt integration | automation setup | zapier automation | ai assistant | langchain | ai saas | ai web app | api integration | ai voice agent | lead generation | ai app developer | full stack developer | web application | n8n workflows | ai content creation | ai prompts | ai consultant | ai tools | generative ai | custom chatbot | llm integration | chatbot development | ai workflow | make com expert | ai business | ai integration | automation bot | workflow | ai software | ai calling agent | ai receptionist | voice ai | ai customer support | appointment booking | ai sales agent | outbound calls | inbound calls | conversational ai | vapi ai | synthflow ai | retell ai | elevenlabs | voiceflow | ai automation agency | custom ai agent | ai lead generation | ai workflow setup | business automation | automation expert | ai web application | ai mobile app | ai chatbot app | open ai integration | ai seo | geo seo aeo | prompt engineering | custom prompts | humanize ai content | ai proofreading | rewrite ai content | ai editing | ai content editing | chat gpt prompt | chatgpt prompts | ai prompt engineer | midjourney prompts | claude ai | anthropic claude | claude code | claude automation | claude expert | claude cowork | lovable ai | lovable dev | lovable website | lovable app | vibe coding | vibe coder | cursor ai | replit ai | base44 expert | bolt new ai | v0 | rocket new | supabase integration | stripe integration | oauth | vercel deployment | deploy web app | saas mvp | ai saas app | web app | website development | custom website | business website | wordpress website | shopify store | ecommerce developer | clone website | convert website | wix to wordpress | squarespace | softr webapp | database | docker | vps setup | self hosted ai | ollama | flowise | rag application | rag pipeline | rag ai agent | openclaw | open claw | clawdbot setup | clawbot | clawd bot | install openclaw | openclaw setup | autonomous ai | web scraping | selenium | data extraction | crm workflow | email automation | process automation | social media automation | youtube automation | tiktok automation | faceless youtube | viral content | ai tiktok videos | ai video automation | faceless videos | cash cow videos | social media bot | instagram automation | linkedin automation | cold email | email campaign | data enrichment | apollo io | instantly ai | clay | hubspot automation | monday crm | gohighlevel workflow | ghl automation | sales funnel | landing page | funnel builder | highlevel workflow | ghl chatbot | ghl funnel | follow up boss | kvcore | real estate crm | phone system | voip | ringcentral | aircall | openphone | nextiva | freepbx | asterisk | justcall | twilio | manychat chatbot | whatsapp chatbot | live chat | customer service | mobile app developer | flutter developer | react js | javascript | python | java programming | spring | machine learning | nlp | gpt4 | gpt3 | deepseek | gemini | crewai | manus ai | gumloop | google ai studio | ai development | ai consultant | ai voice assistant | ai cold caller | booking automation | call automation | ai phone bot | telemarketing bot | workflow automation | integrations | webhook integration | zapier webhook | make scenario | n8n ai automation | n8n integration | n8n developer | n8n expert | n8n ai agent | n8n chatbot | n8n voice agent | make automation | integromat | power automate | microsoft powerapps | power bi | sharepoint | monday automation | hubspot crm | pipedrive crm | zoho crm | clickup | google sheets | slack | airtable crm | notion | typeform | webhook | productivity tools | ai app | chatbot setup | ai chatbot development | custom design | software developer | fullstack | ai website | ai mobile | ai web | ai consulting | openai integration | ai caller | ai call automation | voice calling agent | ai call assistant | ai voice caller | ai workflows | automation workflows | chatbot integration | website automation | crm setup | task automation | ai agents development | business process automation | ai customer service | ai sales | ai receptionist setup | voice automation | ai cold calling | outbound call automation | inbound support ai | conversational voice ai | ai agent automation
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Problem: Enterprise demos are expensive, slow, and often forgettable - so prospects never see the product's real value. Here's a repeatable, hands-on way ElevenLabs turned demos into a growth engine using Lovable (and you can copy it): 1) Define the demo outcome (2-3 minutes) • Pick one persona (GTM lead, engineer, marketing) and one measurable win you want to unlock (pilot sign-up, buy-in, cross-sell). 2) Choose a concrete scenario (3-5 minutes) • Make it visual and story-driven: e.g., a movie promo with interactive characters or a CPG brand with a voice-first support persona. 3) Assemble assets (5-10 minutes) • One short script/flow that shows product value in <90s. • 2-3 audio samples or prompts for voice/mood. • A single mock UI/frame (Figma or a screenshot) to embed. 4) Build the demo in Lovable (5-15 minutes) • Create the flow, wire the audio outputs to ElevenLabs voice + music models, drop in your mock UI, and set simple interaction triggers. • Test once. Iterate twice. Ship. 5) Use the demo as a sales asset • Hand it to your champion to run internally, embed in a prospect call, or include in a pilot proposal. Practical notes & impact • Timeframe: teams at ElevenLabs cut demo build time ~50% - 3-4 demos in the time it used to take to make one. • Outcome: faster sales cycles, more pilots, and direct cross-sell because prospects see multiple products working together. • Edge case: you can build a credible, working demo in the back of a cab - keep it focused and forgivable. Tools to use • Lovable - prototype + host the interactive experience • ElevenLabs API - voices & music for high-fidelity audio • Figma/screenshots - simple visuals • Optional: Make.com/Zapier for lightweight integrations Challenge: Pick one high-value prospect this week - 15 minutes, one persona, one demo. Build it. Share the link or the result here and I’ll give feedback. #demos #productdemos #salesenablement #productledgrowth #SaaS #gotomarket #ElevenLabs #Lovable #UX #productmanagement #sales #revenueops
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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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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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Azeez Wasiu
Lagos, Nigeria
Gohighlevel Expert| Fb Ads | Email Marketing |Ai Automation
New to Contra
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Gohighlevel Expert| Fb Ads | Email Marketing |Ai Automation
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AI Outbound Calling Agent Vapi AI Setup & Integration for Real Estate Leads Most real estate leads go cold not because they weren't interested, but because nobody called them back fast enough, or the follow-up stopped after one or two tries. That's the gap I fix. I build and set up AI voice agents (using Vapi AI) that call your leads automatically right when they come in, and again on a schedule if they don't answer or don't book. This isn't a generic chatbot bolted onto your CRM. It's a voice agent trained on how your business actually talks to leads, connected directly into your pipeline so every call, answer, and outcome gets logged where you can see it. I have set this up before for real estate teams and agents, so I know where the calls usually break down and what actually needs to be automated versus what still needs a human touch. What I set up for you: Vapi AI voice agent built around your real estate scripts (qualifying buyers/sellers, booking showings, confirming appointments, handling objections) Outbound calling flows so new leads get called within minutes, not hours Automatic re-attempts for leads who don't pick up no lead sits untouched Integration into your CRM (GoHighLevel or whatever you're running) so call outcomes update your pipeline automatically Call transcripts and summaries so you know exactly what was said, without listening to every recording Basic reporting so you can see call volume, answer rates, and where leads are dropping off What I need from you to get started: Access to your CRM (or details on what you're currently using) Your current call script or a sense of how you talk to leads Lead source info (where leads are coming from, volume, etc.) If you're not sure whether your current setup even needs this, happy to hop on a call and look at what's actually happening with your leads first no pressure either way.
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I watched a local business owner lose three high-ticket leads in a single afternoon just because he was stuck in a meeting. Every missed call was a silent exit for a potential customer. We decided to change the narrative. We implemented a GHL Voice AI agent that doesn't just record voicemails; it engages. Now, when a call is missed, an instant text-back triggers. If the lead replies, the AI doesn't stop. It continues the conversation, qualifies the lead, and books the appointment directly into the calendar. It is no longer about just being available; it is about being responsive at scale. The gap between a missed call and a closed deal is now bridged by intelligent automation that sounds and acts human. Is your business still letting leads slip through the cracks of a missed call?
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AI Social Content & Post Scheduler, The Tool That Also Generates Leads Searching for an AI social media scheduler that does more than queue up posts? You're in the right place. Most tools stop at automation. The best ones go further they study what your audience is actually searching for and needing, then shape your content to meet that demand, turning everyday posts into a steady stream of qualified leads. If you're still using a scheduler that only tells you when to post, you're missing the bigger opportunity: knowing what to post so it ranks, resonates, and converts. From Publishing Tool to Growth Engine Traditional schedulers answered one question: when should this post go live? AI-driven platforms now answer a bigger one: how does this post turn a stranger into a customer? Here's what changed. Modern tools combine three things that used to live in separate systems content creation, publishing automation, and audience intelligence. When AI sits across all three, it stops being a passive queue and starts actively working the funnel. Ranking Your Content by What People Actually Need Here's the piece most schedulers skip entirely: matching content to real search intent and audience demand, not just posting on a schedule. An AI social content and post scheduler that generates leads has to solve this first, because content that ranks is content that gets found and content that gets found is content that can convert. This works in a few concrete ways: Demand detection. The AI scans what people are already asking, searching, and commenting about in your niche trending questions, recurring pain points, common objections and surfaces those as content ideas before you even open a blank draft. Intent-matched drafting. Instead of one generic post, the AI tailors the angle to the intent behind the need: informational ("how does this work"), comparison ("X vs Y"), or ready-to-buy ("where can I get this"). Each intent type gets written and formatted differently because each one ranks and converts differently. Keyword and topic alignment. Captions, hashtags, and even video hooks get checked against what's actually being searched, so a post isn't just creative it's discoverable. Feedback loop from performance. Every post's ranking and engagement data feeds back into the model, so the next batch of content gets sharper at anticipating what people need instead of guessing. The result: your content shows up when someone is already looking for an answer which is exactly the moment a lead is easiest to capture. How AI Schedulers Actually Generate Leads Smart content generation tuned for conversion Instead of generic captions, AI models analyze what has driven engagement, clicks, and replies in your niche, then draft posts designed to prompt action a comment, a DM, a link click not just a like. Small wording shifts (a question instead of a statement, a clear CTA instead of a vague sign-off) measurably change how many people respond Optimal timing based on real audience behavior Rather than posting on a fixed schedule, AI tracks when your specific followers are actually active and adjusts posting windows automatically. More eyeballs at the right moment means more chances for someone to raise their hand. Automated comment and DM triage This is where the real lead-gen magic happens. AI can scan incoming comments and messages, flag high-intent language ("how much," "do you ship to," "is this available"), and either respond instantly or route the conversation to a human. A comment on a Tuesday post can become a qualified lead in your CRM by Wednesday morning without anyone manually monitoring the feed. Built-in lead capture flows Many platforms now let you attach lightweight forms, quiz-style DMs, or link-in-bio funnels directly to scheduled posts. The post itself becomes the top of a mini funnel rather than a dead end. Performance data that sharpens targeting over time Every post produces data: who engaged, what they clicked, whether they converted. AI feeds this back into future content decisions, so your lead quality improves with every cycle instead of staying flat. Why This Matters for Small Teams and Solo Marketers Lead generation used to require a stack of separate tools a scheduler, a chatbot, a CRM, an analytics dashboard all stitched together manually. AI-powered schedulers are collapsing that stack. A single tool can now: Draft and schedule content Post at the ideal time for each platform Detect buying signals in real time Capture and hand off leads automatically Report on what's actually working That's a meaningful shift, especially for small businesses and solo marketers who don't have a full growth team to manage every touchpoint. What to Look for If You're Choosing a Tool Not every scheduler with "AI" in the name does this well. When evaluating options, look for: Intent detection, not just sentiment analysis the tool should be able to tell "interested buyer" apart from "casual fan" Native integrations with your CRM or email tool, so leads don't sit stranded in a social inbox Transparent analytics showing the path from post to lead, not just vanity metrics like reach Human handoff options so hot leads reach a real person quickly The Bottom Line Scheduling was always the entry point, not the destination. The tools built for it have simply grown up, using AI to turn everyday content into a steady, low-effort source of qualified leads. If your current scheduler is only saving you time on publishing, it's worth asking what else it could be doing for your pipeline.
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Full GHL CRM Set Up
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69
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Emmanuel Oluwapelumi
Lagos, Nigeria
I will design a responsive websit and help you automate n8n
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I will design a responsive websit and help you automate n8n
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It's been a little over a week since I last shared an update—sorry for going quiet! 👋 I've been fully focused on building something exciting: Classic AI Solution, an AI-powered website designed to help businesses automate customer interactions, qualify leads, schedule appointments, and streamline operations. This project has involved much more than just designing a website. I combined several powerful tools to create a complete AI automation experience: 🤖 Vapi – for the AI voice agent and conversational assistant. ⚡ n8n – for backend workflow automation, appointment scheduling, and integrations. 🎨 Lovable – for building the modern, responsive frontend. 🔗 Plus additional tools and APIs to connect everything into one seamless system. It's been an amazing opportunity to work across AI, automation, voice technology, and web development all in one project. You can check out the live demo here: https://classicaisolution.lovable.app I'd love to hear your thoughts! If your business could benefit from an AI voice agent, workflow automation, or a modern website, let's connect. 🚀 #AI #Vapi #n8n #Lovable #Automation #VoiceAI #WebDevelopment #React #AIAgents #BuildInPublic #Tech #OpenToWork
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🚀 Built an AI-powered email automation workflow in n8n. This workflow can: • Send personalized outreach emails • Understand and classify replies • Generate AI-powered follow-ups • Reply automatically when appropriate • Track everything in Google Sheets Less manual work. More conversations. Better results. I'm enjoying building AI systems that help businesses automate repetitive tasks and scale smarter. What would you automate first? #n8n #AI #Automation #EmailAutomation #AIAgents #WorkflowAutomation #BuildInPublic #OpenAI
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AI-Powered Lead Nurturing & Qualification System Built an advanced n8n automation that retrieves warm leads, analyzes conversations with OpenAI, performs sentiment analysis, generates personalized follow-ups, updates CRM records, promotes qualified prospects to the Hot Lead pipeline, and instantly alerts the sales team when a lead is ready to convert. The system automates the entire lead nurturing process, reducing manual work while improving response times and sales efficiency.
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Just completed another modern landing page project focused on speed, clean UI, and user experience. 🚀 MotoGo is designed to connect users with fast and reliable delivery riders through a simple and intuitive platform. The goal was to create a responsive, user-friendly interface that feels modern, smooth, and conversion-focused. Excited to keep building digital products that solve real-world problems with design and technology. 🔥 #WebDesign #FrontendDevelopment #UIDesign #LandingPage #ReactJS #WebDevelopment #Tech #BuildInPublic
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Divine Jude
Lagos, Nigeria
AI Automation Engineer
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AI Automation Engineer
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A multi-channel virtual front desk for a small dental clinic, built in n8n as a single LangChain toolsAgent (the Dental Support Agent) wired to nine typed tools. The agent answers FAQs, books and cancels 30-minute appointments inside the clinic's Africa/Lagos business window, captures CRM data, escalates billing disputes and dental emergencies to humans on Slack, and replies in voice when a patient sends a Telegram voice note all through one shared Postgres-backed conversation memory. The most impressive technical move is the single agent that owns the entire operation and reaches into the rest of the system through another workflow dispatcher that re-enters the workflow eight ways via a switch node.
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I built an inbound sales automation flow that enriches and scores leads before CRM progression. The workflow pulls company context, updates HubSpot records, and applies intent checks so low-quality leads do not inflate pipeline stages.
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I built an end-to-end sourcing flow from unstructured listing inputs to structured investment records. The system validates data against strict schemas, handles pagination and rate limits, and runs document checks on legal title PDFs to flag risks for human review.
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I built one workflow that triages inbound Gmail into noise, operational, and meeting paths. Meeting requests are split into clear versus ambiguous before any calendar logic runs. Ambiguous requests get a clarify reply. Clear requests use real calendar availability plus booking caps from Postgres. Key outcomes - Prevents duplicate processing with DB-backed dedupe - Uses confidence thresholds to avoid low-quality sends - Keeps outbound mail plain text and auditable - Supports exact-match auto-booking only when conditions are safe
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63
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Goodnews Egbewale
Lagos, Nigeria
n8n Architect, CRM & AI Automation Specialist
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n8n Architect, CRM & AI Automation Specialist
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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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AI Color System Generator From Image → to Code. I built an agentic workflow that analyzes any uploaded image, extracts key colors, and uses AI to mathematically generate a balanced 7-color design palette. It then automatically maps these colors to UI components (Backgrounds, Headers, Buttons) for both Light & Dark modes, delivering a ready-to-use JSON theme configuration.
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This autonomous research agent orchestrates n8n, DeepSeek, and Firecrawl to perform "visual" web searches. By converting natural language into precise search operators, the system filters out noise before executing a deep scrape. Crucially, it retrieves not just the text content for analysis but also captures high-resolution, full-page screenshots of every result. This delivers a comprehensive briefing where every insight is backed by direct visual evidence, perfect for competitive analysis or archiving point-in-time web states.
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Meeting Preparation Briefs Workflow This intelligent workflow acts as your personal AI sales assistant. It monitors your calendar for upcoming meetings and automatically prepares you by researching the prospect's company. 15 minutes before any external meeting, it identifies the target company, scrapes the latest news from Google, synthesizes a briefing using advanced AI (OpenAI), and delivers a beautifully formatted HTML report directly to your inbox. This ensures you never walk into a meeting unprepared. Core Capabilities Smart Filtering: Detects external meetings starting soon; ignores internal chats. Live Research: Scrapes the last 7 days of Google News for the prospect. AI Insight: Synthesizes noise into 3 key updates and 1 icebreaker. Brief Delivery: Emails a polished HTML summary 15 minutes before your call.
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137
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Valentine Cheluchi
Agege, Nigeria
Build AI agents & backend automations: Botpress, n8n, Zapier
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Build AI agents & backend automations: Botpress, n8n, Zapier
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Chelucaller: Real Estate AI Voice Agent
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Pigent AI Machine Learning Trading Signal System
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AI Customer Service Chatbot for Dog Daily
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Celia Integral Coach App Development (AI Coach)
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