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EnergyLab TimeSeries

EnergyLab TimeSeries

Real-Time Data, Sensor Dashboards, and AI-Built Monitoring Systems

  • Welcome to EnergyLab-TimeSeries.com
  • Sandbox 3
  • Sandbox 5
  • Sandbox 6
  • Sandbox 8
  • Sandbox 9
  • Sandbox 10
  • Sandbox 11
  • Sandbox 12
  • Sandbox 13
  • Sandbox 14
  • Sandbox 15
  • EnergyLab Projects
    • EnergyLAB Journal
    • EnergyLab Data and Archives
    • EnergyLab Data Points – LAN
    • EcoFlow Power Station with Solar PV
    • Gas Boiler Efficiency Monitoring
    • Tracking Infrared Stack Temperature for Energy Use
    • IR Temperature Sensing Thermal Pane Window
    • Sandbox 1
      • Sandbox 1: Programming with Jarvis – NANO to Googlesheet in WordPress
    • Sandbox 2
      • From Sensor to Sandbox: Inside EnergyLab’s Real-Time Data Flow
  • EnergyLab Programming
    • From Keyboard to Control Center: Building a New Kind of Lab with ChatGPT
    • Engineering with ChatGPT
    • Programming with ChatGPT – Lessons Learned and Best Practices
    • Team EnergyLab: How I’m Building the Future with ChatGPT
    • EnergyLab Archives
  • About Us
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EnergyLab Programming

🧠 EnergyLab Programming

Welcome to the EnergyLab Programming page.
This is where I document my journey — one keystroke, one prompt, one breakthrough at a time — in creating a new kind of lab powered by real-time data, plain-language interaction, and the world’s most advanced AI.


🛠️ From Keyboard to Control Center

Building a New Kind of Lab with ChatGPT
What began with a few Arduino NANOs has grown into a fully integrated system of sensors, dashboards, overlays, and cloud connectivity. Every line of code was generated through a conversation — programming not by syntax, but by intent.

This is what I call Programming by Word — or Vibe Computing. The idea is simple: You describe the system you want, and the system takes shape.


🤖 Engineering with ChatGPT

Here’s how ChatGPT has helped me build:

  • Real-time overlays using MQTT + InfluxDB
  • WordPress plugins from scratch — fully responsive and dynamically powered
  • 1-minute energy dashboards and 48-hour trend visualizations
  • Auto-synced LAN-to-cloud infrastructure using Python and REST
  • Inferred system modes, projected stats, and even narrative logic

Every system on this site was co-engineered with AI. This is collaborative computing — not just automation.


📘 Programming with ChatGPT

Lessons Learned & Best Practices

  • Start with the real-world data. Sensors, measurements, MQTT.
  • Use plain language. Describe what you want. Don’t overthink it.
  • Iterate visually. Use dashboards and overlays to see what’s working.
  • Automate with care. Sync only what matters. Keep it elegant.
  • Treat AI as a teammate. You’re not writing code — you’re co-designing logic.

🧑‍🤝‍🧑 Team EnergyLab

How I’m Building the Future with ChatGPT
This isn’t a solo act. It’s a blueprint for the next generation of makers, educators, and engineers.

EnergyLab is:

  • A classroom
  • A studio
  • A control center
  • A proof-of-concept for what AI-powered engineering looks like

And the team? It’s me, you, and the intelligence we bring into the room.


📂 EnergyLab Archives

Looking for examples of past EnergyLab ideas and projects?

  • Mobile EnergyLab
  • Tabletop EnergyLab
  • Ideas around EnergyLab ecosystems

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