Technology leadership at UC San Diego, and the apps I build outside it.

By day I’m the Executive Director of Workplace Technology and Infrastructure Services, where my teams support infrastructure, data, campus services, and AI. Nights and weekends I design and ship my own products.

Brett Pollak on the UC San Diego campus

TritonAI at UC San Diego.

tritonai.ucsd.edu ↗

My work in AI centers on helping build and support TritonAI with colleagues across campus. New tools have to fit the way people actually work, with support that lasts beyond the pilot.

1. Ask→2. Embed→3. Automate
1Ask
Production

TritonGPT

Start in TritonGPT — chat, documents, approved models.

AI assistants for students, faculty, and staff to work with documents, ask campus questions, and get help with everyday tasks.

Explore TritonGPT: TritonGPT
2Embed
Production

TritonAI API Gateway

Add approved AI to a system campus teams already use.

One API connects campus applications and workflows to approved UC-hosted and cloud models, with shared access and usage controls.

Explore the API program: TritonAI API Gateway
3Automate
Supported

TritonAI Harness

Automate what repeats, with a person reviewing the result.

A desktop agent workspace for working with files, code, and connected campus services under human supervision.

Explore TritonAI Harness: TritonAI Harness
View all 22 projects

Nights and weekends I build independent mobile apps, campus prototypes, and automated personal agent systems.

More projects across mobile, enterprise, and agents

Mobile & Consumer

Resolution Companion, Horse Racing Companion, Steel City Gameday, Rock Hill Property Radar

Campus & Enterprise

Numbers Game HQ, Student Experience, Passports Visitor Management, TritonVerify, ReviewDraft, Process Discovery

Family & Discovery Agents

Scholarship Agent, Cason Recruiting Profile & CRM, School Brief, Henry Personal AI OS

The agent behind the output.

The daily briefings, research synthesis, and newsletters on this site are powered by an agent I built and operate myself: 95 automated jobs, an 838-node knowledge graph, and a 1,360-page wiki — all running on-premises on open-weight models, on a shared memory ecosystem that Claude Code, Codex, and Hermes read and write together.

How the architecture works →
  1. What goes in

    Calendar & email, Meetings, Documents, Campus sources

  2. Context

    Three layers, loaded only when a task needs them

  3. What comes out

    Daily briefings, Meeting intelligence, Real-time answers, Published artifacts

95 automated jobs838 graph nodes1,360 wiki pagesOn-prem open-weight inference

Talks on AI in higher education.

I speak to institutional leaders, IT conferences, and campus communities on moving AI from experimental pilots to production infrastructure, governed agent workflows, and citizen developer models.

Institutional AI: From Pilot to Service

Architecture, governance, and on-premises hosting at university scale

Agentic AI Workflows in Higher Ed

Supervised agents, administrative bottlenecks, and guardrails

The Citizen Developer Program

Empowering campus staff with governed APIs and compute credits