Operations systems
Dashboards, queues, approvals, inventory, reporting, and the tools that hold day-to-day work together.
JB Systems / AI automation / software delivery
I design and ship automation, internal platforms, and apps around the way a business actually runs.
Build focus
What I take on
I work across the interface, backend, data, integrations, and automation so the whole system can ship.
Dashboards, queues, approvals, inventory, reporting, and the tools that hold day-to-day work together.
AI that can search, sort, draft, review, and take useful steps inside a controlled business process.
Web, mobile, and desktop products from the first architecture call through launch and ongoing support.
Proof of work
Selected systems
Reward claims, store orders, stock, labels, returns, and customer issues were one connected problem.
A warehouse control surface with clear queues, grouped shipments, inventory signals, and shipping automation.
Operators can see what is ready, what is stuck, and what needs action without chasing separate tools.

A fulfillment command center shaped around queues, inventory, shipments, and exceptions.
A live production app needed video performance, smart camera help, licensing, trials, and releases to work as one product.
A Mac-native video engine supported by customer access, product telemetry, updates, and AI production tools.
The path from code to notarized build to monitored customer trial became measurable and repeatable.

A live production workspace centered on camera control, stream health, and AI-assisted directing.
Serious AI coding work spreads across sessions, terminals, diffs, previews, and usage limits.
A local desktop app for finding sessions, running parallel agents, reviewing tool calls, and watching usage.
Agent work is easier to resume, inspect, and manage without sending project data to another hosted service.

A local agent workspace built for parallel sessions, review checkpoints, and tool activity.
Delivery model
A clear operating rhythm
Find the costly handoffs and set the right first target.
Ship a useful version early enough to learn from real work.
Bring the right tools, data, and people into one flow.
Measure what happens and keep improving the system.