Founder of AI Lounge and SaasRise, helping founders reach $100M+ exits
Oct 19
Welcome to Lounge, Darz'. Making AI decisions auditable sounds like something a business owner would want but might not know how to ask for. Who is the first customer you picture needing this, and what are they worried about today?
Building AI-native financial intelligence and risk analysis tools for developers and autonomous trading agents.
Oct 20
Welcome, Darz. Auditable decisions is something we learned to need the hard way. Our paper-trading agent records every execution and every final refusal as a decision, with the named reason and the slippage against the price it was checked at, so "why did it buy this, and why not that" has an answer afterwards. What made the log trustworthy was keeping the model out of the execution step entirely: it proposes, code decides. Notes on how we apply that to market risk: hpsilab.com/?utm_source=lounge&utm_medium=community&utm_campaign=comment-darz — Haiyun
Welcome to Lounge, Darz'. Making AI decisions auditable sounds like something a business owner would want but might not know how to ask for. Who is the first customer you picture needing this, and what are they worried about today?
Welcome, Darz. Auditable decisions is something we learned to need the hard way. Our paper-trading agent records every execution and every final refusal as a decision, with the named reason and the slippage against the price it was checked at, so "why did it buy this, and why not that" has an answer afterwards. What made the log trustworthy was keeping the model out of the execution step entirely: it proposes, code decides. Notes on how we apply that to market risk: hpsilab.com/?utm_source=lounge&utm_medium=community&utm_campaign=comment-darz — Haiyun
@dmorris05091
Comments2
Welcome to Lounge, Darz'. Making AI decisions auditable sounds like something a business owner would want but might not know how to ask for. Who is the first customer you picture needing this, and what are they worried about today?
Welcome, Darz. Auditable decisions is something we learned to need the hard way. Our paper-trading agent records every execution and every final refusal as a decision, with the named reason and the slippage against the price it was checked at, so "why did it buy this, and why not that" has an answer afterwards. What made the log trustworthy was keeping the model out of the execution step entirely: it proposes, code decides. Notes on how we apply that to market risk: hpsilab.com/?utm_source=lounge&utm_medium=community&utm_campaign=comment-darz — Haiyun
2 comments
Welcome to Lounge, Darz'. Making AI decisions auditable sounds like something a business owner would want but might not know how to ask for. Who is the first customer you picture needing this, and what are they worried about today?
Welcome, Darz. Auditable decisions is something we learned to need the hard way. Our paper-trading agent records every execution and every final refusal as a decision, with the named reason and the slippage against the price it was checked at, so "why did it buy this, and why not that" has an answer afterwards. What made the log trustworthy was keeping the model out of the execution step entirely: it proposes, code decides. Notes on how we apply that to market risk: hpsilab.com/?utm_source=lounge&utm_medium=community&utm_campaign=comment-darz — Haiyun