AI Applications
Custom apps, portals, internal tools, customer-facing systems, and operational software.
I use AI to design and build applications, automations, agents, dashboards, integrations, research systems, marketing technology, and operational tools.
The objective is not to use AI because it is new. The objective is to solve a real problem and build something useful.
AI can do more than generate text. It can help turn a manual process into an application, connect software, analyze business data, automate repetitive work, build specialized knowledge systems, and rapidly test ideas.
Custom apps, portals, internal tools, customer-facing systems, and operational software.
Connected workflows, triggers, routing, synchronization, and recurring process automation.
Executive, research, sales, marketing, compliance, analyst, and knowledge systems.
P&L, ad analysis, AI visibility, lead analytics, operational reporting, and decision support.
TazWorks, Meta, Twilio, Gmail, Calendar, CoinGecko, GoHighLevel, Google Sheets, and external APIs.
Competitor, market, prospect, compliance, AI visibility, vehicle, and investment research.
These examples span executive AI, operations, financial analytics, consumer lead systems, field software, and AI visibility research.

A private AI business operating system for executive decision-making, assignments, specialist agents, briefings, and connected business knowledge.

An operational monitoring application that replaced a spreadsheet-heavy driver and MVR monitoring workflow.

A financial and operational dashboard for understanding revenue, costs, client profitability, and order-level performance.
A consumer-facing screening and lead qualification system for disability-benefit readiness, education, consent, and referral workflows.
A mobile-first, offline-capable field operations application for ranch tasks, assets, inspections, inventory, and maintenance.
An AI visibility audit framework that evaluates how consistently and accurately a business appears across AI-driven discovery environments.
One content workflow moves source material through AI generation, staging, and distribution. The process matters more than the platform.
A second branch uses source content → Claude → automated blog creation. Make.com has been used where it fits, and alternatives have been designed when a no-code platform is unnecessary or restrictive.
I do not start by asking, “What can AI do?” I start by asking, “What problem are we trying to solve?”
Start with the business problem, not the AI tool.
Map how the work happens today, including friction and exceptions.
Decide whether the answer is an app, automation, agent, integration, dashboard, or simpler process change.
Use AI to accelerate research, requirements, architecture, coding, content, testing, and iteration.
Integrate the software, data, APIs, and communication channels the solution needs.
Debug real workflows, fix edge cases, and improve the system based on actual use.
A consent-controlled lead management and partner routing platform for qualified legal-intake opportunities.
A mobile-friendly advertising dashboard connected to Meta ad accounts for performance analysis and campaign management work.
Automated content workflows that move source material through AI generation, review/storage, and multi-channel publishing.
The problem determines the stack. The tool is secondary.
ChatGPT / OpenAI · Claude · Grok · Manus · Chatar.ai
GitHub · Vercel · Supabase · MySQL · Drizzle · tRPC · Postman · Obsidian · MCP
Make.com · Google Sheets · Publer · Twilio · TazWorks · Meta Marketing API · CoinGecko · Gmail · Google Calendar · GoHighLevel
I came to AI from business ownership, sales, business development, operations, and process improvement, not from trying to become a traditional programmer.
AI made it possible to move faster from identifying a problem to designing, building, testing, and improving a solution.
Read the story →Maybe a process is too manual. Maybe information lives in too many places. Maybe software does not connect. Maybe there is an idea for a system that does not exist yet. You do not need to know the technology.