The ticket says done.
Watchkeeper checks the merged code, live state, and acceptance criteria before calling it finished.
Watchkeeper runs specialized agents across your engineering systems, verifies what’s actually true, and brings you the decisions that need a human.
Tickets drift. Reviews wait. Context disappears into transcripts. Watchkeeper compares what systems claim with the code, conversations, and outcomes underneath.
Watchkeeper checks the merged code, live state, and acceptance criteria before calling it finished.
It separates the three requests actually waiting on you from the team-level noise.
It turns past agent sessions into organized, searchable working context that stays on your machine.
Purpose-built watchers handle repeatable operational work on a schedule. You get evidence, a clear recommendation, and control over every consequential action.
Scheduled agents monitor the workflows you choose—without a browser tab or babysitting.
Watchers inspect the underlying code and source systems, then show the evidence behind their conclusion.
Review findings on Mac or iPhone. Approve, reject, or take over before anything important changes.
One blocking auth regression found. Evidence attached and fix proposed.
Jira says In Progress; the rollout is live in 3 of 4 regions.
14 new sessions classified into active workstreams.
Each watcher has a narrow job, a native interface, and shared guardrails. Start with the workflows you need; add more as your watch grows.
Finds reviews truly assigned to you, runs grounded analysis, and queues suggested feedback for approval.
Re-derives actual progress from code and live systems, exposing drift, blockers, and the next decision.
Answers what a ticket really needs and what comes next using cited files, not stale prose.
Organizes your agent history into durable work memory so hard-won context does not vanish with a terminal session.
Monitor delivery infrastructure, Slack investigations, AWS access, and other operational surfaces from the same trusted shell.
Watchkeeper is built around the practical boundary between autonomous investigation and accountable action.
Your Mac runs the agents and retains the working data. Watchkeeper uses the tools and credentials you already control.
Service access is constrained through purpose-built read-only wrappers. Agents gather evidence; they do not roam freely.
Consequential writes move through native confirmation and approval flows, with explicit opt-in for any automation.
A real Mac app does the work in the background. The iPhone companion keeps status, runs, and approvals within reach.
Systems report what was entered.
Watchkeeper finds what is true.
Evidence before action. Judgment where it counts.