A personal AI workspace where you plug in your own API key to chat, validate business ideas, and connect real tools (GitHub, Grafana, files) — instead of paying for a locked-down AI subscription.
An AI investigator for outages — feed it logs, traces, and metrics and it builds a cited, evidence-backed timeline of what went wrong, instead of a wall of raw data an engineer has to piece together by hand.
A from-scratch reliability monitoring system that tracks whether a service is meeting its uptime promises and automatically pages the team when it's burning through its error budget too fast.
A research benchmark proving an AI search system can run entirely on a local machine, with no cloud API calls, while cutting the amount of text it needs to read by nearly 1,000x with no loss in accuracy.
A controlled experiment testing which AI-agent design choices — planning, memory, verification — actually make agents more reliable, so engineering effort goes toward what measurably works instead of guesswork.
A serverless system that screens card transactions for fraud in real time, modeled on the kind of low-latency infrastructure banks and fintech companies rely on to catch bad transactions in milliseconds.
Turns network change validation — checking nothing broke after a config update — from a multi-week manual process into a 10-minute automated check, catching silent failures a human reviewer would miss.
Reads vendor device documentation and automatically writes and runs the test suite needed to certify new network hardware, replacing a weeks-long contractor process with one that finishes in minutes.
A team of specialized AI agents — one supervisor, several specialists — that monitor and troubleshoot network infrastructure together, cutting the amount of manual troubleshooting operators have to do by 40%.
A live map of how every device and system depends on each other, so operations teams can instantly see the blast radius of a planned change or an outage before it happens, not after.
A data pipeline that pulls metrics from across the business into one governed data lake with live dashboards, cutting the time it takes stakeholders to get to reliable data by over a third.
A chat-based assistant, wired into Slack and Webex, that answers operations questions using the company's own internal knowledge instead of generic AI answers, and scales independently as usage grows.