Night Watch
An agent that triages your overnight error spikes and files one summary issue with a proposed fix. Built for Quiet Hours โ build an agent that does useful work while its user is asleep. Log ingestion, clustering, issue filing, and the fix proposal. The interface is deliberately narrow: one path, done properly, rather than a broad surface that half-works at the deadline.
Gallery
Screens
Night Watch โ main view
Night Watch โ result state
On the clock
What shipped, what didn't
Completed in time
Log ingestion, clustering, issue filing, and the fix proposal.
Unfinished / faked
It can propose a fix but can't open a PR yet.
Obstacles
The first approach needed a background worker I didn't have time to deploy, so I moved it inline at minute 14.
Lessons learned
Test the demo path once at minute 25. I didn't, and it showed.
Process
Prompting approach
Started from a single system prompt describing the user and their constraint, then iterated with the assistant on the Night Watch data model before writing any interface code. Full prompt log is in the repository under /prompts.
Fairness
Disclosures
Declared by the builder at submission time, visible to judges before scoring.
Started from the official framework starter template, unmodified.
Judging
Public feedback
Judges' private notes stay private โ this is what they chose to say publicly.
Elena Voss
VP of Engineering, Harbor Compute
Excellent use of the model โ it is doing actual work here, not decorating a form. The failure case you showed earned you points rather than costing them.
Hana Kobayashi
Principal Research Engineer, Independent
Genuinely useful. I would install this. The limitations section is honest, which makes me trust the rest of the submission more.
Claudia Reyes
Staff Engineer, Vantage Analytics
Genuinely useful. I would install this. The limitations section is honest, which makes me trust the rest of the submission more.
Discussion
1 comments
Scored this earlier. Posting publicly because it's worth saying twice: showing the agent's failed first attempt in the demo was a deliberate choice and it raised my confidence, not lowered it.