AI systems that remove repetitive work.
These are the automations I've designed and built — each one starts from a real bottleneck, not a proof of concept. Descriptions below are kept concise and will grow as each system evolves.
An AI assistant that helps manage day-to-day scheduling, correspondence, and task prioritization, so administrative work takes minutes instead of hours.
Reduce time spent on coordination and admin so more focus goes to engineering work.
Manual scheduling, inbox upkeep, and task tracking eat into hours that could go toward higher-value work.
Frees up recurring hours each week by automating routine coordination so time goes toward focused engineering work.
An automation that classifies incoming email by topic and urgency, then routes it accordingly — so important messages surface immediately.
Make sure urgent messages get seen quickly, without manually sorting through a full inbox.
High email volume makes it easy for time-sensitive messages to get buried under routine ones.
Cuts down manual inbox triage and shortens response time on the messages that matter most.
A Slack-based agent that answers internal questions by retrieving from internal documentation, then generating a grounded response — right where the question was asked.
Give team members instant, accurate answers without waiting on someone to look things up.
Repeated internal questions and scattered documentation slow teams down and interrupt other work.
Reduces repetitive support questions and gives the team faster access to internal knowledge.
For the architecture patterns behind these systems, read My AI Automation Architecture.