I just open-sourced a new project: Autonomous Cold Email & Inbound Replier Agent! This is a modular, production-ready system built completely in pure Python using CrewAI for multi-agent orchestration and Streamlit for a clean, modern interactive UI.
As shown in image_ea414f.png, the system moves away from single-prompt generation and splits the operational workload into specialized, sequential steps to ensure high-quality enterprise triage:
Dynamic Context Parsing: Ingests dynamic company names, specific roles, and product offerings to craft completely personalized pitch assets based on an internal knowledge base.
Multi-Agent Orchestration: Uses a CrewAI sequential flow to separate analysis from execution. A Triage Officer handles data categorization while a Business Correspondent handles context-aware drafting.
100% Free-Tier & Cost Compliance: Powered entirely by high-performance models via free-tier API orchestration (utilizing gemini-2.5-flash via Google AI Studio and Groq Cloud AI as a high-speed secondary model).
Interactive UI Safety: Features a polished Streamlit interface (onee.py) to monitor active server queues and act as a human-in-the-loop gatekeeper to approve drafts before they go live.
The repository is modularly structured, completely production-ready, and optimized with strict exception handling to respect rate limits safely.
A premium booking experience for a custom fashion studio in Lagos.
I wanted to solve a simple problem: when someone asks, “Can I book with you?”, the designer shouldn't have to spend the next hour going back and forth about availability, measurements, event dates, and scheduling.
Threadline Atelier turns that into one smooth flow:
Customers can choose what they're making, share their occasion and event date, upload inspiration, select a real available consultation time, pay the consultation deposit, and get booked.
For the designer, it reduces manual coordination, follow-ups, and scheduling headaches.
Visually, I wanted it to feel like a luxury fashion house with a digital experience editorial typography, contemporary African fashion, cinematic motion, and subtle thread-inspired interactions.
AI Home Services App — Smart Technician Booking & Repair
A premium AI-powered home services app designed to simplify how people diagnose home problems, find the right service, and book qualified technicians.
The product uses AI to turn a simple problem description into a clear service recommendation — helping users move from “What’s wrong?” → “What do I need?” → “Who can fix it?”
Key Experience
→ AI-powered problem diagnosis
→ Text, voice & photo input
→ Smart service recommendations
→ Technician discovery & booking
→ Transparent service information
→ Real-time technician tracking
→ Premium, intuitive mobile experience
The concept is designed for founders building AI home-service platforms, technician marketplaces, repair apps, and SaaS products where reducing friction and improving the booking experience can create a stronger customer journey.
Role: Product Designer
Focus: AI Product Design · UX/UI · Mobile App Design · Service Marketplace
I built QwikClean, a cleaning service platform in Nigeria that streamlines booking management and customer notifications. Recognising that people often ignore emails, I focused on engaging them through popular social media channels.
Key Features:
Real-time Alerts: A dedicated Telegram bot provides instant booking updates to the business owner.
Availability Scheduling: Live calendar management prevents double-booking by automatically marking reserved dates.
Customer Reminders & Self-Service: Automated notifications are sent 24 and 2 hours before appointments, allowing customers to cancel or reschedule via Telegram (with applicable fees) and set alerts.
Available Now: Telegram and Email
Coming Soon: WhatsApp, Instagram DMs, and SMS