Every one of them started as a problem I couldn't ignore.
OpenCare
Aging parents, multiple siblings, no system. Someone always had the wrong information, someone always missed the update. I built the thing no one had built for families like mine.
Hard-E
A contractor I work with was losing leads every day — not because he wasn't good, but because he was on a roof when they came in. Built him an AI that runs the whole sales operation without stopping.
All Angles
Thirty years of reputation, still running on gut instinct and a spreadsheet. Now the leads arrive briefed — frontier vision models read the house before the contractor picks up the phone.
Ethos
When you build four systems, you need a fifth to keep the rest honest. Runs on Hermes. Costs less than a coffee. Never sleeps.
What's Running Right Now
LIVE
Poor People App / OpenCare — When you have a problem, build a solution
I was drowning in group texts trying to coordinate my parents' care: doctors, insurance
renewals, medications, siblings who needed updates but didn't need another app. So I
built OpenCare:
a care coordination platform where circles of helpers organize around the people who
matter, with tasks, reminders, and daily digests that reach even the family members
who barely check email.
Then the mission grew. OpenRecovery
applies the same circle model to substance use and dual diagnosis recovery — 10
modalities, daily check-ins, journaling, and Recover E, an AI voice companion
that's sharp, challenging, and built for people who want to do the work, not sit back
and wait. It's not clinical. It's not cookie-cutter.
The whole thing lives under the Poor People App — a platform for underserved
communities where the AI handles the 95% of bureaucratic work that's purely
procedural, and human Sentinels handle the 5% that requires real judgment. Identity
on Nostr. Care that's free. Infrastructure for the people who can't afford to wait
for the system to work.
53M unpaid US family caregivers · ~$30/mo server cost · Running on one EC2 instance.
opencare.poorpeople.app
·
poorpeople.app
PRODUCTION
Hard-E — AI Sales Director for Contractors
A contractor I work with was losing leads every day — not because he wasn't good,
but because he was on a roof when the phone rang. So I built Hard-E.
Hard-E is a full AI sales director that lives inside a contractor's CRM. It doesn't
just answer questions — it pulls up customer records, moves jobs through pipeline
stages, sends texts and emails, schedules appointments, looks up pricing, and
remembers everything from every conversation. Twenty-one CRM tools, real-time voice
at sub-100ms latency, and a persistent memory system that gets sharper the more you
use it.
The voice pipeline is the real differentiator — frontier models transcribe, reason,
and speak over WebRTC with barge-in support. It's not a chatbot with a microphone
taped to it. It can look up a customer mid-sentence, check their job status, and
tell you what stage it's in without breaking conversational flow.
Multi-tenant, invite-based trials, encrypted credentials per company, tenant-isolated
knowledge bases. Built to clone — swap the CRM plugin, rewrite the personality file,
upload new training docs, and it becomes a sales director for a different industry.
harde.app
TECHNICAL LEAD
All Angles — Remodeling How Remodeling Gets Sold
Most contractor websites are brochures with a contact form bolted on. This one had to
be different — the founder spent 30 years watching the industry get it wrong. Hard
sells, vague estimates, leads that go nowhere. All Angles launched as a startup built
on the opposite: educate first, earn trust, then ask permission.
So I built the entire conversion around that. No contact form. Instead, a guided
interactive journey that walks homeowners through the process at their own pace. By
the time they reach the end, they've learned something, they've uploaded photos of
their home, and they've decided on their own terms that they're ready. That's when
the system asks for one thing: permission to come measure.
Behind the curtain, uploaded photos hit S3 and GPT-4o Vision reads the exterior —
siding material, trim condition, visible damage. Perplexity researches the property.
The contractor receives an AI-briefed dossier on a lead who already said yes, before
he's picked up the phone.
Next.js 14 · Supabase · GPT-4o Vision · Perplexity · AWS (SES, S3, DynamoDB) · James Hardie Elite Preferred
aaexterior.com
ALWAYS ON
Ethos — Personal AI, Running Continuously
Ethos runs 24/7 on AWS Lightsail — voice and text over Telegram. It coordinates care
tasks via the OpenCare API, processes video research through a multi-lens pipeline,
and maintains a living knowledge base across investing, technology, and frontier
science. Over 100 pages, growing weekly. It delegates to cheaper models when it can,
resets its own sessions, curates its own skills. It's not a product. It's mine.
$2–4/day · 100+ wiki pages · Hermes Agent · Voice-enabled
Internal system
How I Got Here
I came into this sideways — I built and ran The Grillin Greek for nearly a decade.
A real business: operations, customers, staff, systems that either held or collapsed
under pressure. That taught me what actually matters and what looks good on paper but
breaks the second it's real. Then art school. Then Unity game dev, then Python, then
the agents arrived and everything accelerated. I don't have a computer science degree.
What I have is a compulsion to build things that serve someone other than the demo,
and enough stubbornness to see them through to production.
The agents handle what agents handle well. I handle what still requires a human: the
judgment calls, the vision, the question of whether a thing should exist at all.
The pattern holds whether you're coordinating elder care or field operations, running
financial compliance or clinical intake, navigating a nonprofit's grant cycle or a
contractor's job pipeline. The domain changes. The infrastructure doesn't.