Kristian Fagerlie reviews two AI-assisted automation projects after a period of operation. His app experiment used coding tools to create and publish a small collection of iOS apps, and he reports sales concentrated in a few products. The account is a personal update rather than audited net profit, a reproducible income forecast or evidence that every automatically generated app finds demand.
Kristian Fagerlie then describes a prediction-market bot, market-making rebates and a changing account balance. He discusses one profitable trade alongside drawdowns and a losing streak, so the headline result should not be read as a risk-free or steady return. The displayed outcomes are self-reported and do not establish a general profitable strategy or provide investment advice.
Kristian Fagerlie says the bot has collected weeks of live market data and that he intends to keep refining the experiment. He treats future projects and other trading venues as possibilities, not completed outcomes. The practical lesson is to inspect operating results, losses and data quality over time rather than equate autonomous execution with dependable income.
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