Jason Martocci · Senior Full-Stack Engineer / AI Systems Builder / Founder

I build AIsystems thatoperate.

From ideato workingproduct.

Senior full-stack engineer and founder with 25+ years shipping software, commerce platforms, AI products and automation. Current work spans agentic workflows, retrieval, tool use, evaluations, guardrails and observability.

I turn complex ideas into software people can use and teams can operate, then stay with the system long enough to make it reliable.

Systems I design and operate

What I build

01

AI agents

Autonomous workflows that research, decide and act inside explicit controls.

02

Data pipelines

Pipelines that show where information came from, how current it is and how it changes.

03

Automation

Reliable jobs and tools that take repetitive work off people.

04

Platforms

Web products built for everyday use, reliability and growth.

05

Integrations

APIs and services connected through narrow, observable boundaries.

06

Outcomes

Software that solves a defined problem and can be measured, maintained and improved.

25+ yearsEngineering experience
6 ownedProducts and experiments, live
End to endEngineering · product · operations
02 / Production stack

Technologywith a job.

From interface to infrastructure. Every tool earns its place in the system.

01 / PRODUCT ENGINEERING

Build the experience

Fast, responsive web products with clear service boundaries and reliable data flow.

ReactNext.jsTypeScriptNode.jsExpressREST APIsCloudflare Workers
02 / AI + AUTOMATION

Make work move

Retrieval-grounded and agentic workflows built with narrow tools, structured outputs, explicit approvals and measurable operating controls.

Claude APIRAGTool callingMCPStructured outputsEvalsTracing
03 / DIGITAL COMMERCE

Turn intent into action

Storefronts, mobile commerce, checkout flows, integrations and conversion-focused delivery.

Shopify PlusMagento 2DrupalMobile commerceShopify APIs
04 / DISCOVERABILITY

Build to be found

Technical SEO and answer-engine foundations that make product meaning explicit to people and machines.

JSON-LDSEO / AEOOpen GraphSitemapsCanonical URLs
03 / Commercial delivery

Built forthe real world.

Products, platforms, teams and operations. Proof beyond the prototype.

DTLR, INC. · 2024 — now

DTLR.com + Mobile

Development and optimization across DTLR's web storefront and its iOS and Android commerce app: performance, checkout, analytics, structured data and retail operations.

Magento 2DrupalReactAngularJSJSON-LD
ART BRAND STUDIOS · 2021 — 2024

Art Brand Studios

Led the ThomasKinkade.com rebuild and delivered commerce work across the Art Brand portfolio, including Shopify Plus and digital-collectible integrations.

Shopify PlusShopify APIsOpenSeaCoinbase
NESTLÉ HEALTH SCIENCE · 2021 — 2021

Nestlé Health Science

Coordinated business and technical teams across a multi-brand consumer-health commerce program.

Shopify PlusMagento 2DrupalJira
DANIEL MARKUS INC. / PIERCE BAINBRIDGE · 2020 — 2021

Daniel Markus Inc. / Pierce Bainbridge

Rapid commerce, inventory and legal-platform work across several client properties.

ShopifyNext.jsInventory systems
04 / Story

The machines changed.The instinct didn't.

01

Early computing

Curiosity about how machines work, long before it was a career.

02

Desktop software

Software you installed, owned and lived inside.

03

The web

1999: B2B web applications with an international team at Vistaar Technologies.

04

Web applications

2002–2005: more than 100 client sites at 1800Communications, from one launch a month to three a week.

05

Data + ad tech

2005–2013: AcxFusion real-time ad reporting and a newsletter audience past one million at Applied Cognetics.

06

Operations

2013–2020: running growth, finance and technology operations, up to a $100M, 150-person logistics business.

07

Commerce at scale

2020–now: Shopify Plus, Magento 2 and mobile commerce for Nestlé Health Science, Art Brand Studios and DTLR.

08

Generative AI

2025: Viral Worx, an AI creator platform, built and run end to end.

09

Agents

2025–2026: systems that research, decide and act inside explicit controls: the paper trader, a self-healing creator platform, a self-updating family tree.

06 / Now

What I'm thinkingabout now.

CURRENT SIGNAL // 001

Agency needs control

An AI system needs clear limits, evaluation, an explanation of its actions and a reliable way to recover from errors.

01

AI agents

Systems that coordinate work instead of only answering.

02

Autonomous software

Software designed to operate continuously and safely.

03

Human + AI development

What happens when the development process itself becomes collaborative.

04

Robotics

When software intelligence gets a body and a physical environment.

07 / Method

How I build

Practical systems work. Evidence before theatre.

  1. Understand the system

    Map the real inputs, outputs, dependencies and constraints before changing anything.

  2. Find the failure points

    Look for the boundaries where state, integrations, assumptions or people can break the flow.

  3. Build the smallest working version

    Prove the core behaviour before expanding the surface area.

  4. Run it against reality

    Real usage exposes what diagrams and optimistic assumptions miss.

  5. Observe what breaks

    Logs, state and failure evidence turn surprises into engineering input.

  6. Automate what repeats

    Move reliable repeated work out of human memory and into explicit systems.

  7. Keep improving

    Ship, measure, learn and revise without pretending the first version is the last.

08 / Operating principles

Patterns inevery system

The same habits show up across everything Jason ships. Each one is traceable to a real project.

01

Humans approve the risky parts

Automation runs the safe work; anything consequential waits for a person.

Viral Worx · AI Paper Trader · The AI Bookie · Martocci Family Heritage · Stack or Sink

02

Safe by default

Features ship switched off or locked until someone deliberately turns them on.

The AI Bookie · AI Paper Trader · Viral Worx · Your Chess Career

03

Freshness is shown, not assumed

Every number says where it came from and how old it is; stale data is labeled or refused.

The AI Bookie · AI Paper Trader · Your Chess Career · Viral Worx

04

Unknown is not zero

Missing evidence stays missing instead of quietly becoming a number.

The AI Bookie · Your Chess Career · Stack or Sink

05

Append-only records

Decisions, fixes and imports go into ledgers that can be audited and undone.

Viral Worx · AI Paper Trader · The AI Bookie · Martocci Family Heritage · Stack or Sink

06

Releases match the commit

What is live is checked against exactly what was tested.

Viral Worx · Your Chess Career · Stack or Sink · The AI Bookie

07

Cost has a ceiling

Quotas, budgets and scale-to-zero so a good day never becomes a bad bill.

The AI Bookie · Viral Worx · AI Paper Trader · Martocci Family Heritage

08

AI stays bounded and grounded

Models advise inside deterministic checks and answer from real data, not imagination.

Martocci Family Heritage · AI Paper Trader · Viral Worx

09 / The human

Building softwarewas never reallyabout the code.

Technology has changed dramatically across Jason's career, from early B2B web applications to commerce platforms to AI agents.

What has stayed constant is the process: seeing something that doesn't exist yet, understanding how it should work, and building the system that makes it real. Then staying with it until it is reliable.

More about Jason →
EngineerProduct builderEntrepreneurProblem solverPerpetually curious