Work
Proof logs, not portfolio tiles
Each project shows the bottleneck, what changed, what was built, and the outcome.
Bottleneck -> Boundary -> Build -> Measure
Selected work
Case studies organized around the actual bottleneck
The stories below are built to show the constraint, the intervention, and the measured effect.
Pressure Boundary Mechanism Outcome
AI-assisted support ticket triage
Median first-response handoff dropped to under 20 minutes in pilot runs.
- Problem
- Support teams re-read similar tickets and escalated too early.
- Decision boundary
- Automation classifies and drafts routing; team leads own final priority decisions.
- Mechanism
- Rerouted mixed-quality inbound tickets into confidence-ranked lanes.
- Constraint
- Low-confidence tickets always route to manual review. No silent auto-close.
Open case study
Pressure Boundary Mechanism Outcome
Agentic development workflow with human checkpoints
Pull request cycle time fell 28% on bounded task classes.
- Problem
- Teams lost cycle time to repeatable setup, regression checks, and boilerplate updates.
- Decision boundary
- Agents can propose and implement scoped changes; merge decisions stay human-owned.
- Mechanism
- Reduced review latency by automating repeatable implementation and verification loops.
- Constraint
- All generated changes require deterministic checks and reviewer approval.
Open case study