Real-World Results

Case Studies

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Real examples of how small businesses and solopreneurs are saving hours each week with custom AI solutions — from workflow automation to intelligent research tools.

Automated Personalized AI Workflow Suggestions
Case Study · Vibe Coding

AI-Powered Lead Scoring — "Vibe Coding" Example

This demonstration case study showcases how AI can transform B2B lead management by combining rule-based business logic (60%) with machine learning pattern recognition (40%) to automatically prioritize sales opportunities. The hybrid system analyzes 27 data points — including budget, authority, timeline, email engagement, and website behavior — to grade leads from A (hot) to D (cold). The framework demonstrates potential outcomes such as 40% conversion increases, 60% time savings, and 85% prediction accuracy, with a complete technical implementation showing how Random Forest and Gradient Boosting algorithms integrate with CRM systems for real-time lead scoring that continuously learns from conversion outcomes.

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Automated Personalized AI Workflow Suggestions
Case Study · Automation

Automated Personalized AI Workflow Suggestions (with Tally and Zapier)

Discover how I combined the simplicity of Tally Forms with the automation power of Zapier to create a smart system that delivers personalized AI workflow suggestions automatically. Users fill out a brief form, and behind the scenes, a tailored set of AI-powered tool recommendations and automations are generated and delivered in minutes. This setup scales effortlessly, feels like magic, and helps clients skip the overwhelm and start optimizing fast.

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The Social Media Content Machine
Case Study · Content Creation

The Social Media Content Machine

I built a lean, mean, content-churning machine — an AI-powered system that transforms raw ideas into polished, platform-ready social media posts in a flash. From content prompts to copywriting and scheduling, this automated workflow slashes the manual grind and keeps your online presence running 24/7. It's like having a whole content team, without the overhead.

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Building a Research Assistant with AI
Case Study · Research Tools

Building a Research Assistant with AI: From Tool to Platform

Discover the evolution of a project aimed at enhancing research efficiency. Initially conceived as a simple PDF summarization tool using GPT, the project expanded into a comprehensive AI-powered research assistant supporting multiple file formats (PDF, TXT), URL processing, GPT-4 Turbo summarization, automated citation formatting in APA and MLA styles, topic detection, and export options including TXT, PDF, Markdown, HTML, BibTeX, CSV, and JSON. Built with Streamlit and designed with modularity and scalability in mind, it serves students, researchers, consultants, and writers looking to streamline their research workflows.

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