See how we've helped companies save thousands of hours and scale their operations with custom AI automation.
How we built a 100% autonomous AI system that finds prospects, sends personalized emails, handles replies, and books meetings—without human intervention.
Manual prospecting was consuming 15-20 hours per week. The process involved:
Hours spent finding and qualifying target agencies in the right markets (US/Canada vs South Africa)
Each prospect needed custom messaging based on their specific business context and pain points
Constantly checking for replies, categorizing intent, and crafting appropriate responses
Manually updating lead statuses, logging interactions, and tracking pipeline progress
We built a multi-agent AI system that handles the entire prospecting workflow autonomously:
Uses Groq (Llama 3.3 70B) to generate personalized emails for each prospect based on their company notes, industry, location, and specific pain points
Monitors Gmail inbox every 60 seconds via IMAP, filters out newsletters and spam, only processes emails from prospects in the CRM
Analyzes reply intent (INTERESTED, QUESTION, OBJECTION, NOT_INTERESTED) and sentiment to determine appropriate response strategy
Generates contextual responses, answers questions, handles objections, shares Calendly link for interested prospects, all with natural conversational tone
Automatically updates lead status in Supabase: new → contacted → qualified → lost based on prospect responses and engagement
1. Load prospects from JSON → Save to CRM with lead scores (90-100) 2. AI generates personalized email for each prospect 3. Send emails via Gmail SMTP (3-second delay between sends) 4. Monitor inbox every 60 seconds for new replies 5. When reply received: → Check if sender is in CRM (skip newsletters) → Analyze intent with AI → Update CRM status automatically → Generate personalized response → Send reply with Calendly link → Log interaction
40+ hours saved per week on manual prospecting tasks
36 premium prospects contacted (16 South Africa + 20 US/Canada)
2-3X higher budgets by targeting US/Canadian market ($5K-10K setup vs $2.5K in SA)
100% autonomous operation - works 24/7 without human intervention
Zero newsletter replies - intelligent filtering only responds to real prospects
Expected 2-3 meetings booked within first week of deployment
Building a fully autonomous system required:
Added extensive email filtering to prevent responding to newsletters, auto-replies, and non-prospects. CRM lookup ensures only contacted prospects get responses.
Researching 20 US/Canadian agencies revealed 2-3X higher budgets than South African market, justifying the shift in targeting strategy.
When SendGrid signup failed, Gmail App Passwords provided a reliable alternative for SMTP sending without deliverability issues.
Intelligent chatbot for travel gear e-commerce site with product recommendations, weather integration, and voice capabilities.
Groq API (Llama 3.3 70B) for natural conversations about travel and packing
Real-time weather data from OpenWeatherMap to recommend appropriate gear
Dynamic product suggestions from Supabase database based on trip context
Speech-to-Text input and Text-to-Speech output for hands-free interaction
Reduced customer support load by handling common packing questions automatically
Increased engagement with interactive, voice-enabled AI assistant
Mobile-responsive design matching brand aesthetics perfectly
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