The drag-to-trigger flourish

If the room asks 'what does this look like at scale?', show the board-column-as-trigger pattern: a dedicated Jira column (e.g. 'In Progress Cursor', split from 'In Progress Human' so agent vs human work is visible) wired by webhook so dragging a ticket in spins up a cloud agent that extracts it, implements it and returns a PR plus artifacts.

It collapses a ~7-step manual ticket workflow into one drag. The killer beat: drag several low-hanging tickets at once and each spins up its own agent in parallel, each opening its own PR (LB1, LB2, LB3...). That is async scale the buyer can see, not a promise.

"Notice what just happened: the agent wrote the code, but a human approved the plan, a human owns the merge and the auditor has a full evidence trail. The AI accelerated the work - it never controlled the gate."

If an interviewer asks you to 'walk me through a demo,' the wrong answer is a list of features. The right answer is this ordered run, narrated with the persona and control at each step.

Reciting 'ticket → Ask → Plan → change under rules → tests → PR with evidence → BugbotCursor's automated PR reviewer that posts inline findings and can push fix commits from isolated VMs. Press Enter for the full definition. under human reviewers → triage a failing CI check' from memory is itself the signal: you think in value streams and controls, not features.