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Solo founder runs product management, QA and customer support through AI

A Korean solo developer's two-day diary of putting the AI to work as his team: GitHub issue labels split between him and the AI across marketing, planning, design, QA, operations and finance, with a project board and roadmap milestones built in about an hour; the AI runs QA on each deploy event and files issues; customer inquiries are answered through an admin MCP connection; and morning routines from a one-time setup (7 AM English lesson, Google Analytics analysis, issue briefing) arrive unprompted. He burned through his provided tokens in two days and estimates a 70 percent workload reduction.

How it works

  1. Split GitHub issue labels between owner and the AI
  2. Build project board and roadmap milestones in about 1 hour
  3. The AI QA-tests each deploy event and files issues or reports
  4. Connect admin MCP so the AI answers customer inquiries
  5. Set recurring routines (7 AM English lesson, GA analysis, issue briefing)

Why it’s worth knowing

One person handed an agent the PM board, deploy QA and the customer support inbox of a real product, with the work split by issue label.

Where it’s from

Summarized from a public post on brunch.co.kr. See the original ↗

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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.