Hey, I'm Jor.

I build practical AI systems for real life.

I'm documenting Life OS, my personal AI assistant for private logs, scheduling, notes, travel, and daily decisions. It already found $4,300/year in unused workplace benefits and replaced parts of my golf app with a voice-controlled caddy.

Day job: construction code compliance. Side quest: building the operating system for my life and showing the messy parts as I go.

Jor Allen

About

I'm Jor. By day I work in construction code compliance. By night I'm building things I wish existed.

What I'm building

The main project is Life OS — a personal AI assistant I wrote in Python that connects private logs, notes, scheduling, finance context, health context, and daily decision support. The public version is the story of the system; the private version keeps the actual services, credentials, and raw data off the internet.

The most useful thing it's done so far: ran a full audit of my workplace benefits plan, found roughly $4,300/year I was leaving on the table, and walked me through claiming the $900 Personal Wellness Account in one session.

Why I'm documenting it

Most AI content is either hype or tutorials. I'm more interested in what happens when you wire AI into an actual life: meals, money, calendar chaos, benefits booklets, golf rounds, travel, missed receipts, and the weird failures along the way.

What else I do

When I'm not building or doing safety inspections, I run a small YouTube channel called JustJor — travel content from Thailand, Vietnam, the Rockies, and wherever else the year takes me. The aesthetic is authentic and slightly gritty. The audience is small (24 subscribers as of writing). The intent is to grow it on my own terms.

This site is where I document the building — what works, what doesn't, what I'm learning.

Build

Life OS, AI agents, tools, and experiments.

Optimize

Health, money, time, benefits, and systems.

Explore

Travel, golf, snowboarding, YouTube, and real-world testing.

Document

What worked, what broke, and what I learned.

Caving in Vietnam — cupping water from a cave waterfall
Hang Va cave, Vietnam
Gyeongbokgung Palace, Seoul
Gyeongbokgung Palace, Seoul

Featured

I built a bot that found $4,300/year of unused workplace benefits.

Most employees use 30-40% of the benefits their employer pays for. The rest expires December 31 every year. Not because people are lazy — because the booklets are 50+ pages of insurance jargon and HR can't legally tell you what to claim.

I asked my Life OS bot to read my plan booklet, cross-reference my claim records, and tell me what I was missing. Thirty minutes later it surfaced $8,500 of unclaimed annual value and walked me through filing $900 of it the same afternoon.

The repeatable pattern - read the booklet, audit the buckets, surface the gaps, file the claims - is now a service I'm productizing for other employees who don't have a personal AI bot lying around.

Read the case study

Proof

What Life OS looks like in practice.

These are public-safe sample outputs, not private screenshots or real account data. The point is the shape: real inputs, useful context, specific next actions.

Morning briefing

Daily context before the day starts

Morning brief

Recovery: lighter day suggested

Schedule: one field appointment

Nudge: submit eligible receipt

Meal tracking

Food photo to usable log

Photo received

Estimated: 42g protein | 610 kcal

Logged to daily nutrition note

Follow-up: low fiber so far

Benefits audit

Unused buckets turned into actions

Vision: unused balance

Wellness: eligible receipt found

Paramedical: category gap

Next action: file claim

Golf caddy

Voice command to scorecard

shot 7 iron 150

stroke logged | club distance learned

what club for 150?

suggestion based on personal median

Now

What I'm working on now.

  • Building Life OS into a full personal operating system
  • Turning Benefits Maximizer into a simple, repeatable audit service
  • Testing the voice-controlled golf caddy on real rounds
  • Growing JustJor on YouTube without sanding off the weird edges
  • Documenting practical AI workflows for regular people and small operators