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.
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