AI implementation · Agent harnesses · Storita.ai
Most AI projects fail because they're built by people who only understand AI.
Real transformation happens at the intersection — where technology meets process, human behavior, and domain expertise. That's where I've always operated.
I'm Arik Diament. Since 2004 I've built and run production systems. Today I build end-to-end AI systems and the agent harness that runs my businesses and my clients' sites.
- 22 yearsbuilding production systems, since 2004
- 6 storesWooCommerce stores run on Storita.ai, the AI store manager I built
- 85 workspacesagent workspaces in one harness that runs my operation and rebuilt this site
Why
Complete systems get built at the intersection.
Since 2004 I've worked across domains most people keep separate — biology, physics, math, computers, psychology, sport, nutrition, electricity. That range is why I see the whole system — the technology, the process, the people operating it — where specialists see only their layer.
Most AI projects fail as technology demos: impressive in a meeting, useless in operation. Real AI transformation is embedded in how a business runs — its data, its workflows, its people. Building that takes someone who understands all three.
So I build the whole thing. I built Storita.ai from the ground up. I run my own stores on systems I built. The AI harness that runs my own operation every day is mine too. Not advisory. I build it.
The proof is operational, not theoretical. My harness dispatches AI agents across 85 workspaces, checks their work with an independent verifier, backs everything up off-site every night, and runs about 35 scheduled routines without me. It rebuilt the page you're reading.
What I Do
Three lines of work, one standard: it runs in production.
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End-to-End AI Implementation
Complete, production-ready AI systems — from architecture to deployment to daily operation. Multi-agent systems, automation harnesses, AI embedded in real workflows. Not a pilot. Not a slide deck. A working system.
You get: a system in production, a verification loop, documentation, and the people trained to run it.
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AI-Powered Ecommerce & Storita.ai
Custom WooCommerce architecture built to scale — intelligent automations, deep integrations, systems that cut manual overhead. Plus Storita.ai, the AI e-commerce manager I build: five agents — Explorer, Analyst, Manager, Architect, Sentinel — turn store data into plain-language answers and a path forward.
You get: Storita's five agents (Explorer, Analyst, Manager, Architect, Sentinel) on your store, plus custom WooCommerce work.
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GEO — Generative Engine Optimization
When customers ask ChatGPT or Claude to recommend a product in your category, does your store come up? I help serious merchants establish authority in AI-generated results before this space becomes crowded.
You get: an audit of how AI assistants describe your category today, then the content and structure changes that improve your chances of appearing in their answers.
Work
What shipped, and what it changed.
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Internal R&D · AI harness
Agent Operations Platform
The harness behind everything else I build: multi-agent orchestration, task control, persistent memory, autonomous execution. It runs my businesses every day.
- Shipped:
- Controller with validated dispatch and an independent verifier, an agent gateway over 85 workspaces, a memory service, about 35 scheduled routines, nightly off-site backups with a staleness alarm.
- Result:
- Runs my operation daily. Built and deployed this website.
- Memory retrieval: about 105 LLM calls cut to 8, 15–40 s down to 2–4 s
- WhatsApp relay injection guard: in a 20-sample test, 20 of 20 attacks caught, 0 of 20 clean messages flagged
- Code index: 39,287 PHP symbols, zero parse errors
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SaaS product · Built from scratch
Storita.ai
AI e-commerce manager for WooCommerce stores: five agents (Explorer, Analyst, Manager, Architect, Sentinel) that watch, analyse and act on a store, plus an MCP endpoint so Claude can query it directly.
- Shipped:
- Production multi-agent platform, morning reports, conversion diagnostics, MCP endpoint.
- Result:
- Live on six WooCommerce stores: DXRacer Israel, IVFPharmacy.com, Soltam, Brandiz, Serius Electronics, Admonis.
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Client · WooCommerce rescue
Rosenfeld
A 12-week stabilisation engagement on a large Israeli WooCommerce store that had grown slow and fragile.
- Shipped:
- Database autoload cut from 1,680 KB to 639 KB per request; 36 plugin updates in three rehearsed waves with zero reverts; WordPress and WooCommerce major upgrades, payment-verified; a WordPress 7.1 fatal caught before it reached production; three outages root-caused; monitoring built.
- Result:
- Cached server response time (time-to-first-byte) from about 2 seconds to 88 ms.
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Client · Production incident
IVFPharmacy.com
An online pharmacy where an unattended WordPress core update broke login, cart and checkout.
- Shipped:
- Root cause found in a vendor plugin, a one-line gated fix live within about two hours, then the vendor patch applied.
- Result:
- Request success from 33% to about 90% within minutes, then 227 requests with zero errors.
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Client · Catalogue rebuild
Keramica
A tile and sanitary showroom moving its full catalogue online on WooCommerce.
- Shipped:
- 4,274 products and 4,732 variations migrated; an AI product-image redraw with Hebrew title and description per product, approve-to-replace with revert and a monthly spend cap.
- Result:
- A launch-ready catalogue with AI-assisted product content.
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Client · High-volume store
Soltam
A kitchenware store with around 200K USD a month in sales, whose B2B flows are tied to the company's ERP.
- Shipped:
- Edge reverse proxy, load shedding, SMS-campaign hardening, ERP-connected B2B quote-to-order flows, live monitoring dashboard.
- Result:
- A store that stays up through campaigns, with revenue-blocking B2B flows found and rebuilt.
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Live store · Official importer
DXRacer Israel
Official Israeli importer and distributor of DXRacer gaming chairs. I built and operate the full ecommerce operation: store architecture, logistics, digital marketing.
- Shipped:
- Store, logistics and marketing systems, operated daily.
- Result:
- Every system I recommend to clients, I run here first.
Thinking
Three things I keep seeing.
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GEO · AI Visibility
The merchants ignoring AI search today are making the same mistake as those who ignored Google in 2003.
GEO isn't a future concern. It's a present opportunity — and the window for early mover advantage is closing faster than most people realize.
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AI · Verification
An agent you can't verify is a liability.
The value isn't the model. It's the harness around it: dispatch, independent checks, memory, rollback. That's what turns a demo into something a business can run on.
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AI · Systems thinking
AI is not a product you buy. It's a capability you build into how you operate — or it's theater.
Most AI integrations fail because they're bolted onto existing workflows rather than embedded in them. The businesses seeing real results rebuilt how they work, not just what tools they use.
Contact
Ready to build something serious?
I work with a small number of clients at a time — founders and operators who need AI tied into real workflows, data, and execution. If that's you, let's find out if we're a fit.