Project showcase
A look at what we have built.
Agents, dashboards, and operations tooling built around real workflows: scheduling, monitoring, forecasting, and analytics. Have a look around and try them out.
How we build
How these projects come together.
Each one starts small, gets measured against a real workflow, then hardens into something that runs day to day.
Step 1
Map the workflow
Every build starts by tracing an actual process end to end, finding where the time goes, and picking the one use case worth building first.
Step 2
Build the pilot
The first version runs against real workflows and real data, measured on things like response speed, admin load, and decision quality.
Step 3
Ship it
What proves out moves into production with scoped rollout, guardrails, and the rough edges sanded down.
Step 4
Keep tuning
After launch, workflows, prompts, and automations keep getting adjusted as usage patterns and data change.
Projects
Things we have built.
Scheduling agents, market monitoring, delay forecasting, and a golf analytics lab.
Hairdresser scheduling agent
Client booking and slot recovery
Built: Built for salons where manual rescheduling and late cancellations left slots unused.
What it does: Coordinates bookings, refills dropped appointments, and takes scheduling off the front desk.
View project →Finance monitoring agent
Trading alerts and EOD reporting
Built: Built for desks that needed signal on steep price movement without watching screens all day.
What it does: Pushes Slack-first alerts as moves happen, then writes a structured end-of-day summary.
View project →Construction forecasting agent
Delay prediction and mitigation guidance
Built: Built for project teams hit by weather and dependency shifts they found out about too late.
What it does: Flags likely delays early and surfaces critical-path impact so mitigation starts sooner.
View project →US Open golf lab
Tournament analytics dashboard
Built: A side build exploring US Open history, with scoring and shot data scattered across five decades of records.
What it does: Compares players, courses, and metrics such as driving, putting, and accuracy back to 1975.
Open the live app ↗Operations platform
The operations platform we built.
The largest build of the set runs as its own experience: scenario testing, performance analysis, and decision support over a dataset you upload yourself.