Free SEO Tool / Marketing
GEO+SEO Wizard — Interactive Playbook
Challenge
SEO and GEO (Generative Engine Optimization) best practices exist in fragmented documentation, making it difficult for businesses to implement systematic optimization strategies. Teams need a guided, step-by-step approach that tracks progress and exports actionable plans.
Approach
Built a free, interactive wizard tool that transforms an 80/20 SEO playbook into a guided experience: 82 expert tasks across 9 sections, auto-save progress with LocalStorage, contextual help for every task, export to Markdown/PDF. Premium UX with glassmorphism design, WCAG 2.1 AA accessibility, and zero signup friction.
Outcome
Production tool deployed on Cloudflare Pages. Demonstrates lead generation through value-first content: users complete tasks, save progress locally (privacy-first), and export customized SEO strategies. Tool drives awareness while providing genuine utility. Built with vanilla JavaScript for maximum performance.
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B2B SaaS / Lead Generation
Interactive Lead Generation Suite
Challenge
A digital signage integrator needed to convert website visitors into qualified leads. Static landing pages weren't working—prospects wanted answers before talking to sales: "What will this cost?" "Will it work for my use case?" "What's the ROI?"
Approach
Built 6 specialized interactive tools: ROI calculator, TCO comparison (digital vs static), ADA compliance checker, menu board audit, friction scorecard, and drive-thru cost estimator. Each tool provides instant value while capturing lead data with built-in qualification signals.
Outcome
Production suite deployed to client subdomain. Each tool generates leads with rich qualification data. Client owns the tools, the leads, and the analytics. Demonstrates principle: not every problem needs AI—sometimes the right answer is a well-designed tool that solves a specific business problem.
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Digital Marketing / SMB Operations
Social Media Content Automation
Challenge
A growing business needed to maintain consistent social media presence across 5+ platforms without
dedicated marketing staff. Content creation was ad-hoc, posting was manual, and there was no connection
between content performance and business outcomes.
Approach
Designed an AI-powered content workflow: automated content generation based on business context,
intelligent scheduling with optimal timing, multi-platform publishing from single source, approval gates
for quality control.
Outcome
Reduced content creation time by 70%. Established repeatable publishing cadence. Created clear
ownership: business owner approves, system executes.
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E-commerce / Fashion Retail
Virtual Try-On System
Challenge
An online fashion retailer faced high return rates (>30%) because customers couldn't visualize how
clothing would look on them. Previous "virtual fitting" solutions were gimmicks that didn't affect
purchase behavior.
Approach
Built a practical virtual try-on system: realistic outfit visualization on user's body type,
integration with existing product catalog, seamless checkout experience, explicit measurement tracking
correlation between widget usage and return rates.
Outcome
Widget deployed to production store. System designed with clear metrics: widget engagement → conversion
rate → return rate impact. Ownership assigned to merchandising team.
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Consumer Tech / Personal Productivity
Digital Legacy System
Challenge
An individual wanted to preserve and structure their digital knowledge — documents, notes, decisions,
personal history — in a way that could be useful for themselves and potentially their family.
Approach
Designed a personal AI system: ingests and organizes disparate digital content, creates searchable
AI-queryable knowledge base, maintains privacy with local-first architecture, simple enough to use
daily.
Outcome
Working prototype with local-first architecture. Clear scope: what stays private, what can be shared.
User owns their data and the system that processes it.
Logistics / B2B Services
Conversational AI for Customer Support
Challenge
A logistics company received hundreds of daily customer inquiries about shipment status, pricing, and
delivery windows. Support staff spent 80% of time on repetitive queries, leaving complex issues
unaddressed.
Approach
Designed a conversational AI layer: connected to real-time shipment tracking, handled standard queries
without human intervention, escalated complex cases with full context, tracked deflection rate and
satisfaction.
Outcome
Reduced routine query load on support team. Established clear handoff protocol: AI handles what it can,
humans handle what they should. Metrics defined: response time, deflection rate, escalation quality.
Developer Tools / Productivity
macOS Productivity Utilities
Challenge
Presenters and educators needed better cursor visibility during screen sharing and recordings. Existing
solutions were either too complex or didn't work reliably on macOS.
Approach
Built focused, single-purpose utilities: cursor spotlight for visibility during presentations, minimal
system resource usage, native macOS integration. Philosophy: do one thing well, ship it, move on.
Outcome
Published to App Store. Demonstrates approach: not every problem needs AI. Sometimes the right answer
is a simple, well-designed tool.
Manufacturing / 3D Printing Services
Autonomous Sales Pipeline
Challenge
A 3D printing company handled hundreds of small orders (<$1,000) manually. Each deal required: lead
qualification, quote generation, task assignment to operators, customer follow-ups, and payment
tracking. Staff spent 80% of time on process, not production.
Approach
Designed and deployed a HubSpot automation system that runs the entire pipeline autonomously: receives
inbound leads, qualifies and routes automatically, assigns production tasks to operators, sends status
updates at each stage, tracks to payment. Human intervention only for exceptions.
Outcome
End-to-end automation from first contact to payment received. Operations team refocused on production
quality instead of admin. Clear metrics: deals processed, time-to-close, human intervention rate. Bot
manages flow, humans manage exceptions.