A market signal can look current, a booking can look synced, and AI-generated work can sound complete before review. I build the controls and pass conditions that test those claims, with acceptance records you can inspect here.
Risk → control → evidence
Each record starts with a state that could mislead: stale market data, an offline scheduling conflict, or AI output that sounds complete. The work record shows the risk, the control, the evidence, and the condition for letting the work advance.
Data product · Market Strength Dashboard
Provider gaps, revision timing, and mounted-storage vintage made stale data appear current.
Control
Provenance checks separate provider effective date, processed date, and build timestamp. Archive vintage is verified at startup before any market signal renders.
Tradeoff: the system carries source-health and vintage metadata instead of treating the dashboard as a chart layer.
Operator tool · Corsetta
One stylist could book offline while another booked online, then reconnect into a double-booked appointment.
Control
Queued local writes sync through version checks. Divergent server state becomes a pending conflict with explicit review choices, not a silent overwrite.
Tradeoff: the app accepts sync complexity so fitting-room work can continue without silent overwrites.
Delivery workflow · Agent control lane
A polished response can make a slice feel done before review, tests, continuity sync, or release-state separation have actually happened.
Control
Scope, pass condition, returned diff, validation, findings-first review, and explicit BUILDLOG release state gate any advancement to the next slice.
Tradeoff: delivery moves slower up front so a fresh lane can restart from durable repo artifacts instead of trusting chat memory.