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Blog6 August 2025

My AI stack right now

My AI stack right now

In Just the Past Two Weeks...

  • πŸ§‘β€πŸ’» Developer – Rebuilt an app that once cost me $70K and 5 months… in 2 days for $200
  • πŸš™ Sales Negotiator – Bought a Ford Bronco with AI handling the research, pricing, and deal-making
  • πŸŽ™οΈ Podcast Assistant – All my podcast and video scripts are created with AI (assisted, not generated)
  • πŸ‹οΈ Personal Trainer – My weekly Peloton fitness plan is built and adjusted by ChatGPT
  • πŸ“Š Analytics Assistant – I surface insights instantly using Heap with Sense AI
  • 🧠 Health Optimizer – I track my recovery and performance using a custom dashboard with data from Whoop, Garmin, Oura, Apple Health, and Strava

AI isn’t a tool I dabble with. It’s become the infrastructure of how I work, build, automate, and live. Below is the real-world AI stack I use β€” no fluff, no theory. Just tools that help me operate smarter and move faster.


πŸ§‘β€πŸ’» Developer Stack

Tools that power app building, backend services, and automation

  • Loveable – Built BangOn.io, a sports tipping app, in just 2 days for $200
  • Supabase – Handles authentication, real-time database, and storage
  • GitHub – Version control and collaborative dev management
  • AWS – Scalable hosting infrastructure
  • Cloudflare – Manages DNS, routing, and performance
  • n8n – Connects all the moving parts with custom automation flows
  • Dust – My internal AI agent for orchestrating multi-tool workflows

πŸ’¬ LLMs & AI Assistants

My co-pilots for messaging, creativity, and research

  • ChatGPT (OpenAI)
    • Product messaging and content writing
    • Shopping/product research (used to negotiate my Ford Bronco)
    • Weekly Peloton fitness plan generation
    • Podcast and video script assistance
  • Claude (Anthropic)
    • Initially used for coding support
    • Now repurposed for long-form writing and creative utilities
    • Built a custom train timetable for my local station
  • Gemini (Google)
    • My go-to for competitive tracking and deep research
    • Especially helpful when real-time web data matters

πŸŽ™οΈ Content & Video Production

How I script, record, edit, and publish content

  • Riverside – High-quality podcast and video recording with transcripts
  • Descript – Post-production editing, captioning, and clip creation
  • DaVinci Resolve – Advanced video/audio editing and sound quality improvement
  • Suno – AI-generated music for background video tracks
  • Canva – Thumbnails, visuals, carousels, and promotional assets
  • Figma – Prototyping and collaboration on designs and user flows

🎢 Music Assistant (But Never the Songwriter)

I refuse to let AI touch my lyrics or music. This is personal and important.

My album, These Lies That Divide Us, was written, recorded, and mixed the old-school way β€” analog, manual, intentional. A full retro experience.

AI only helps around the edges β€” never in the creative core.

🧘 Fitness, Health & Personal Performance

Where AI meets recovery, tracking, and optimization

  • ChatGPT – Created my custom Peloton-based fitness program
  • HabitDash – Dashboard I built to compare data across:
    • Whoop – Recovery, strain, and sleep
    • Oura – Readiness and sleep
    • Garmin – Activity, heart rate, and intensity
    • Apple Health – Unified health and workout records
    • Strava – Run and ride tracking with social/community integrations

πŸ“Š Analytics & Optimization

Insights, UX, and performance across products and journeys

  • Heap + Sense AI
    • Natural language queries
    • Friction and pattern detection
    • Journey analytics at scale
  • Contentsquare
    • Behavioral insights
    • Experience analytics across digital journeys
  • Hotjar – Session recordings, rage clicks, heatmaps
  • Amplitude – Used for market research and competitive product analysis

Note: I was once a Google Analytics trainer and created video courses for it β€” but it’s no longer part of my stack.

🧠 Smart Home & Automation

Automation isn't just for work β€” I use it to run my home too

  • Home Assistant – Custom automations across lighting, media, routines, and sensors
  • IFTTT – Connects my smart home and digital life (e.g. syncing routines, reminders)
  • Zigbee, MQTT, ESPHome – Powering the devices behind the scenes

πŸš€ Final Thoughts

This isn’t just about saving time. It’s about unlocking new creative potential, building faster, automating smarter, and doing more with less.

If you’re exploring how AI can power your work or life, don’t overthink it β€” just start. Pick one bottleneck, try a tool, and let it grow from there.

What’s in your AI stack?

I’d love to hear what tools are helping you move faster or build smarter β€” drop them in the comments πŸ‘‡