We're publishing real examples of skill cassettes built with BALIA OS. Rather than targeting a specific industry or genre, each one is organized as a general-purpose process that applies to any use case. Pick the case study that interests you and see exactly how it's built.
Signals detected by Alpha Hunter are traded in parallel under four capital-allocation rule sets. This live page publishes exactly what that looks like in real time — detected signals, open positions, realized P&L and unrealized P&L, broken down by rule set, straight from the actual data. * Not investment advice. The figures shown are ledger-based calculations over past detections and do not indicate future results.
Open the live page →A case study building a "reservation management + automated notifications" skill cassette for any business that takes bookings — restaurants, salons, physical therapy clinics, and more.
A case study building a system that automatically keeps a community reference site up to date, for anything with regular official updates.
A case study splitting everyday admin work — scheduling, expense reports, email triage, meeting minutes from audio — across a team of agents. Give instructions by voice message and get reports back as audio and text.
A case study building a trading bot that uses a crypto exchange API to detect price-action patterns and automatically enter and exit positions.