Jiran Zack
Deimel
I help founders and enterprise teams ship AI that actually reaches production — I write the code, ship the system, and own the outcome.
Built at the intersection.
I've spent the last decade across four worlds — Software development at Amazon → Government emerging-tech → OpenAI's Reasoning team → Head of AI transforming a firm — building systems where precision matters, failure has consequences, and outcomes matter more than presentations. Today, I work with a select group of founders, executives, and operators to deploy AI, redesign broken workflows, and build systems their teams actually use. That operating style was forged early. I'm self-made, fought through school while battling brain cancer, and learned that consistency outlasts almost everything. I don't disappear after the strategy deck. I stay in the work until the outcome is real. Done beats perfect when iteration is built into the system. My edge is multi-agent orchestration and aggressive iteration.
Ways I work.
Three engagement models. All of them end with something built, shipped, or running.
Embedded advisory on AI strategy, team upskilling, vendor selection, and implementation oversight. I act as a senior operator inside your company — in the right meetings, making the hard calls, ensuring the work actually gets done.
Typically includes- Executive-level AI strategy & governance
- Vendor selection & procurement oversight
- Team upskilling & hiring support
- Implementation review & course-correction
One 60-minute meeting becomes a working proof in your hands within 24 hours — and a clear path to production within a week. Scope is locked on day one. You leave with something running, not a slide deck or a "next phase" to unlock.
Typically includes- 60-minute scoping session — map the pain, lock the scope
- Working proof in your hands within 24 hours
- Full architecture + production roadmap
- Phased path to production within a week — your repo, your keys
I design and build the workflows, integrations, and AI tooling that eliminate operational drag — CRM automation, internal AI agents, reporting pipelines, and the glue holding your stack together. Built to be owned by your team.
Typically includes- Workflow mapping & system design
- Build & deploy to production
- Team training & full documentation
- Clean handoff — no vendor lock-in
One operator.
Many agents.
I run a 110-agent AI swarm across 15 departments as my team. I sit in the orchestrator seat — strategy, routing, hardening, shipping. Agents do the specialist execution. Every hand-off is a typed packet on a shared context bus.
Reasoning and multi-agent orchestration were research domains before they became my workflow. It's how I ship at the pace of a team: every project routes through a swarm I designed to think, build, and verify in parallel. In practice: the orchestrator decomposes the problem, routes each piece to a specialist, and a separate verifier agent adversarially checks the work before anything ships. Reasoning models do the planning and the checking — and eval harnesses, not vibes, decide when something's done.
A decade of high-stakes execution.
Fortune 500 boardrooms, federal agencies, and the AI frontier — a decade of execution where the consequences were real.
On the world stage.
Keynotes, panels, and media appearances at the frontier of AI and emerging technology.
Beyond the boardroom.
Common questions, direct answers.
If you're about to reach out — skim these first. Most of the questions I get are answered here.
- I build things that compound.
- I own the outcome before I start.
- I fail fast and learn faster.
- The best systems run without me.
- I write the code myself — you get the operator, not a deck.
- I've worked at Amazon, the Pentagon, and OpenAI.
- The person you hire is the person doing the work.
- I turn down more clients than I take.
- I deliver under real deadlines and constraints — pressure is just another operating condition.
- Founder-led companies (20–500 people) that have hit product-market fit.
- Enterprises with real data, real budget, and real air cover.
- Regulated industries — finance, healthcare, defense — where off-the-shelf SaaS doesn't fit.
- They buy when they should build.
- They pilot forever, with no production deadline.
- They chase accuracy when the real constraint is adoption.
- They underinvest in evals — and the team with better evals always ships faster and safer.
Let's build something worth building.
Selective about engagements, serious about results.