A small, growing library of applied-AI tools we've shipped for local businesses. Each link below opens the live tool — not a screenshot, not a mock. Built solo with AI agents, tested in real conversations with operators.
Each tool was built for a real conversation with a real owner. Click in and use them — they work the same way they did in the original meeting.
Quantifies revenue lift, hours saved, and payback across 18+ AI use cases × deployment paths × pricing tiers. Used live with restaurant and bakery owners to make the AI math pencil before they sign anything.
Open the calculator Operator DashboardOwner-facing KPI cards, demand heatmap, and AI-recommended interventions tied directly to P&L. Used as proof-of-value in discovery workshops with restaurant operators.
Open the dashboard Operator DashboardSame proof-of-value pattern, tuned for bakeries — different KPI mix, different demand cycles, different intervention library. Live demo built for in-person owner conversations.
Open the dashboard White-Label ROI ModelProposal-grade financial model for a multi-location restaurant evaluating a switch from marketplace commissions (DoorDash, Uber Eats, Skip) to white-label dispatch. Lockable assumptions, per-location revenue mix, real commission and flat-fee data.
Open the model Workflow ArchitectureInteractive flowchart for an AI-driven inventory system — pulls live POS, weather, and local-events signals; predicts demand; pushes alerts and re-order suggestions to Google Sheets. Designed for restaurants and bakeries.
Open the flowchart Self-Serve AuditA 90-second self-serve audit — five questions, weighted scoring across data maturity, scale, and pain urgency. Output: a 0–100 score, dimension breakdown, prioritised findings, and what to fix first. No email gate.
Take the audit Performance AnalyticsCompanion analytics layer to the social automation case study below — separates Instagram vs Facebook performance, surfaces best posting days, top-performing themes, and hashtag wins from an 8-week window. Closes the loop between agent output and measurable impact.
Open the dashboard Production Case StudyEnd-to-end agentic content pipeline running live for an Oshawa-based luxury hospitality venue. Make.com + Gemini 2.0 Flash + Imagen 3 + Meta Graph API — multi-client architecture from day one.
Read the case study Personal Project · Python + MLPython web scraper + ML scoring model that pulls used Tesla listings from major marketplaces, scores by price-per-km and price-per-year, deduplicates reposts, and surfaces the top deals each week. Built because manually checking Kijiji and AutoTrader was eating my Sundays.
Open the dashboardFounder of SMB.AI.ALLY and Senior Product Manager (Media & Ad Operations) at Canada Post. 10+ years across product, strategy, analytics, and management consulting. MBA in Strategy & Business Economics from Rotman, University of Toronto.
I build with AI agents as the primary tool and financial discipline underneath. The tools above are live — they've been put in front of real owners, in real meetings. When the math didn't pencil, I rebuilt it. That's the work.
Book a free 30-minute consultation. We'll identify exactly where AI can save you money — no commitment required.