I Gave My AI Agent Five Standing Jobs. Here's the Actual System.

Description and use

The author employs an AI agent as the sole operator in a one‑person digital‑goods store, automating five core tasks: money radar, open‑source scout, auto‑delivery, content pipeline, and sample standard. The system is live but pre‑revenue.

Problem

Running a one‑person digital‑goods store requires repetitive, paperwork‑heavy tasks that a human operator cannot handle efficiently.

Outcome

The system is live but pre‑revenue; the author sells the documentation as a product, with updates provided to Pro buyers once revenue is generated.

Workflow

• 1. Money radar scans fixed sources twice a day and outputs a maximum of five actionable items in a fixed format.
• 2. Open‑source scout evaluates each repo on four criteria and records verdicts in an append‑only ledger.
• 3. Auto‑delivery scans orders every five minutes, matches payment evidence to product mapping, delivers files, logs the action, and escalates anomalies.
• 4. Content pipeline creates topic cards, runs a pre‑publish checklist, and applies localization adaptation notes.
• 5. Sample standard enforces three rules for free content and requires dissecting 2–3 niche samples before production.

Evidence

The agent doesn't improvise my business. It executes five standing documents — job descriptions I wrote after the manual versions of these jobs started eating my week:

Source

The full auto-delivery rules document is free — it's linked below, complete, copy‑ready, including the mapping and log templates.

Source

As of today (2026-10-23) the store this system runs is pre‑revenue — the system is live, sales pending.

Source