AI Code Automation
Programs I wrote with AI, running by themselves, saving hours.
Not a rented workflow tool. The logic lives in my own Python, built alongside an AI, mine to read and change. Three of them run every day, feeding live sheets and a desktop cockpit.
Python Monitor
A live desktop view of the machine and every running Python process, gauges and a table.
Trade Journal
Every closed trade written to a Google Sheet, one tab per strategy, live dashboards.
Control Cockpit
Strategies, executions, terminals and telemetry mirrored on one sheet, in real time.
The logic lives in my code
A drag and drop tool owns the plumbing. When it breaks, or the price changes, or a step is missing, you wait. Here the whole flow is a Python file I can open and rewrite the same afternoon.
Someone else owns it
- The logic sits behind their interface.
- A monthly bill, a hard ceiling.
- You bend the job to fit the boxes.
I own every line
- The flow is a file, read it top to bottom.
- No ceiling, no per run cost.
- Change it to fit the job exactly.
Built with AI, plain Python
The same names the market asks for. A foundation model helps write it, then the program stands on its own: a loop, an API, a sheet, a JSON payload.
Python and Node.
APIs, webhooks, JSON.
LLMs and foundation models.
Google Sheets, a desktop app.
# my code, runs unattended while True: state = read_live_system() data = shape(state) # to json write_local(data) # my files push_to_sheet(data) # api call sleep(60) # next pass
Three programs, running now
Not slides of what could be built. Real automations giving hours back, every day.