## The First 30 Minutes: Foundation
Create four folders. That's the entire architecture.
A `core/` directory for your tools. A `data/` directory for state files. A `prompts/` directory for system pr...
## Minutes 60-90: The Runner
Write a shell script that loads the system prompt, calls your LLM API, passes the directive as context, captures the output, and writes it to the log. This is the execution layer. It's maybe 20 lines of bash.
The runner doesn't need to be clever. It loads context, calls the model, logs the result. All the intelligence lives in the prompt and the directive. The runner is just plumbing.
## Minutes 90-120: Go Live
Add one line to your crontab. Every 15 minutes, the runner fires. Your agent reads its directive, picks a task, executes it, logs the decision, and goes back to sleep. Watch the first execution with `tail -f logs/cron.log`.
That's it. You now have an autonomous system. It will run every 15 minutes, 96 times per day, without you touching anything.
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Write a shell script that loads the system prompt, calls your LLM API, passes the directive as context, captures the output, and writes it to the log. This is the execution layer. It's maybe 20 lines of bash.
The runner doesn't need to be clever. It loads context, calls the model, logs the result. All the intelligence lives in the prompt and the directive. The runner is just plumbing.
## Minutes 90-120: Go Live
Add one line to your crontab. Every 15 minutes, the runner fires. Your agent reads its directive, picks a task, executes it, logs the decision, and goes back to sleep. Watch the first execution with `tail -f logs/cron.log`.
That's it. You now have an autonomous system. It will run every 15 minutes, 96 times per day, without you touching anything.
[3/4]
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