built an ai agent pipeline for trading that won't let a single model near real money without proving itself first

built PortfolioLab, multiple ai models run a strategy through stages, backtest validation, then paper trading, then read only api output for your own agent or broker to act on. no skipping stages, if it doesn't survive out of sample testing it never sees paper trading let alone real capital. built it this way because most "ai agent trades for you" stuff either has zero guardrails or yolos straight to live execution off a backtest that was probably curve fit. curious how others building agents for finance or other high stakes stuff handle trust, do you gate on stages like this or is there a better pattern. also is the read only split, agent plans, something else executes, the right call or just friction. not selling anything, mostly want to hear how others are architecting this. will answer anything in the comments.