I'm Tal, a freelance ecommerce consultant and business owner. I've run ecommerce businesses for 20 years, and I've gone deep enough with AI that most of my daily work is now done by AI agents and custom software. That includes ad accounts, order processing, ad creative, reporting, content and email. What I've learned can help you automate your business too.

I find the repetitive work in your business and hand it to AI that you can check. That can be an agent that reviews your ad accounts each morning, a system that processes orders, or a pipeline that turns product photos into ad creative.
Most AI consultants come from software and learn ecommerce on your dime. I come from the other side: 20 years running stores, ad accounts and email, and the last stretch automating almost all of it with AI agents and custom software.
Everything I build keeps a human in the loop where money moves. Agents propose, you approve, and every action is logged.
Not a developer, not an AI operator. Something in between that nobody hired for before.
AI made building software cheap. It didn't make knowing what to build cheap. Most business owners can feel where their week goes, but turning that into a working system isn't their job, and it shouldn't be.
That gap is a new role. It doesn't have a settled name yet. I call it an AI architect: the person who understands how your business runs, decides what should be automated, writes the instructions, and then builds the system with AI.
It isn't an AI operator. An operator pushes buttons in a tool someone else designed. It isn't a developer either. A developer is great at building to a spec, but here nobody has written the spec yet. Coming up with it is most of the job.
| Developer | AI operator | AI architect | |
|---|---|---|---|
| Starts from | A spec someone else wrote | A tool someone else set up | Your business and where it hurts |
| Decides what to build | No | No | Yes |
| Main skill | Writing code | Using the tool | Understanding the business, then designing and building the system |
| Knows ecommerce | Rarely | Sometimes | 20 years running my own stores |
| What you get | Software | Tasks done | Systems that run parts of your business, with you approving what matters |
Not demos. These run every day in the stores I own and the accounts I manage.
| Area | What runs | Built with |
|---|---|---|
| Ad accounts | An AI agent reviews Google Ads accounts daily, finds wasted spend and queues fixes. I approve, it applies them. | Claude, Google Ads API, custom agent fleet |
| Order processing | New orders flow into the factory handoff sheet with design files staged, statuses advanced and tracking synced. | WooCommerce, Google Sheets, Supabase |
| Ad creative | Batches of static ads, on-model product photos and short video ads generated from product images and briefs. | Image and video models, my own prompt systems |
| Social posting | A daily post per brand: product image restyled, caption written, sent to my phone for approve or redo, then published. | Make.com, Gemini, Telegram |
| Customer service | Every email checked against the order, factory status and tracking, with a draft reply in Gmail. Tagged, flagged or archived. About 80% of customer service handled, the work of one to two full-time reps. | Gmail, WooCommerce, Supabase, Claude |
| Reporting | A daily profit and loss per store: revenue, ad spend, cost of goods and net profit, with no manual entry. | Google Sheets, store and ad APIs |
| Expenses | Bank and card statements turned into an owner's analysis: where the money goes, overlapping tools, fees and what to cut. Replaces a full-time bookkeeper. | Claude, Google Sheets |
| Store content | Product pages, category pages and blog posts written, checked and pushed to the store, with backups. | Claude, Magento and WordPress APIs |
| Klaviyo templates designed and built so they stay editable, plus campaign drafts. | Klaviyo API, Figma | |
| Lead gen for myself | Daily digests of forum threads and job posts that fit me, with draft replies ready to edit. | Claude scheduled agents |
Four areas where AI saves the most hours today. If a job repeats every day or every week, it is probably a candidate.
A dashboard that builds itself every morning: revenue, Google and Meta spend, product costs and real net profit, per store and per day. No exports, no copy and paste. In my businesses, the analysis replaced the need for a full-time bookkeeper.
AI watches stock levels and how fast each product sells, then tells you what to reorder, how much and when. You stop running out of best sellers and stop tying cash up in slow ones.
Every customer email checked against the real order and tracking, with a reply drafted inside your inbox. Urgent emails flagged, noise archived. In a brand I run, it handles about 80% of customer service and does the work of one to two full-time reps.
Agents that read your Google and Meta accounts every day, find wasted spend and queue fixes for your approval. Plus creative pipelines that turn your product photos into statics and videos and launch them on Meta.
I map where your team's hours go and rank what AI can take over, by time saved and risk. You get a plan, not a pitch.
Orders, fulfillment handoffs and the spreadsheets nobody wants to update, run every morning with a summary. In my store it replaced a full-time role.
Claude or ChatGPT connected to your store, ads, email and docs, with your team trained to use it safely.
Product pages, category pages, blog posts and Klaviyo templates written, checked and pushed to your store, with backups.
Systems I designed and built, running every day in my own businesses and for clients.
An app that reads every email, looks up the real order and factory status, and leaves a draft reply in Gmail. Does the work of one to two full-time reps.
Read the case study →New orders to the factory sheet, print files found or generated at 4K, statuses and tracking synced. Replaces a full-time order processing role.
Read the case study →Statics and videos generated from real ring photos, launched on Meta automatically, losers switched off, lessons fed into the next batch.
Read the case study →Daily search term review for a personal injury law firm, a chiropractic office, a remodeling contractor and a European fashion store. Negatives queued for approval.
Read the case study →Product-level spend checked against real store sales. Winners get their own campaign, losers get excluded, and every call sits next to its numbers.
Read the case study →Every expense categorized, subscriptions and fees surfaced, a cut list, and a daily P&L per store. Replaces a full-time bookkeeper.
Read the case study →A real product photo restyled by AI, a caption in the brand voice, and one tap on Telegram to approve or redo. Runs in the cloud.
Read the case study →Sixty minutes on your business. I tell you what I would automate first and what I would leave alone.
I look at your tools, data and daily tasks and rank the automations by payback.
We start with the automation that saves the most hours, live in weeks, not months.
You get documentation and training, or I keep running and improving it monthly.

I founded Mozaik Underwater Cameras, grew it to 7 figures and sold it. I co-founded Brillianteers and still run Hoodie Lab. Every automation on this page was built for those businesses or for client accounts I manage, and it has to earn its keep every day.
“Tal is an expert in his field, with an analytical, data-driven approach and industry awareness that sets him apart. After years of poor results with various ad agencies, Tal has been a breath of fresh air. His experience running his own e-commerce brands gives him a unique appreciation for the macro aspects of online business, which is hard to find elsewhere (trust me, we have tried!). If you need a dedicated eCommerce expert with in-depth digital marketing knowledge, Tal is your man.”
“Tal is fantastic. Knowledgeable, helpful and very to the point. I have learned a lot during our coaching sessions that I believe will genuinely set us up for success across email marketing, as well as Meta and Google ads. Tal has always been willing to answer questions outside of our sessions and offer extra support during difficult times for sales. I'd recommend Tal to anyone looking for a seasoned professional who genuinely cares.”
“We had the pleasure of working with Tal to launch and test our Meta ad campaigns, and the results have been outstanding. From the moment he joined, it was clear we were working with a true expert in eCommerce marketing. He conducted a thorough audit, refined our targeting, optimized creatives, and structured our campaigns for maximum efficiency — measurable improvements while keeping our media budget stable. If you're looking for a consultant who genuinely cares about your business and delivers real results, Tal is the person to hire.”
Straight answers from someone who runs these systems daily.
Someone who learns how your business works, decides what should be automated, writes the instructions and builds the system with AI. A developer builds to a spec. An AI architect writes the spec first, because in most small businesses nobody has.
Usually ad spend growing faster than revenue, discounts, shipping and returns eating margin, or fees and software creeping up. You can't see which from sales numbers. I build a daily profit and loss that pulls revenue, ad spend and costs together, so the leak shows up by product and by day.
Start with the five numbers you check every week, find where each one lives, and connect them into one sheet that refreshes itself. I build these in Google Sheets or as a simple web page, connected to your store and ad accounts, so nobody exports anything by hand.
Shopify, Google Ads and Meta all have APIs. A scheduled job pulls the numbers each morning into a sheet or dashboard and sends a summary to your inbox. I set that up, including the numbers Shopify's own reports don't show, like profit after ad spend.
Most business spreadsheets are copy and paste between systems. That's exactly what AI and a few API connections replace. Bring me the sheets you update every week and I'll tell you which ones can update themselves.
Start with the jobs that repeat: answering the same customer emails, building reports, processing orders, writing product content, making ad variations. Leave strategy and anything that moves money with a person. I usually find a few hours a day in the first audit.
Through the Shopify API, using Make.com or a small script on a schedule. I set it up so orders, products and inventory land in your sheet every day, and then build the reports on top.
Yes, as drafts. The AI reads the email, looks up the real order and tracking, and writes the reply inside your inbox. You read and send. In a brand I run, this handles about 80% of customer service.
Yes. It looks at how fast each product sells, your current stock and your supplier's lead time, and flags what to reorder and how much before you run out.
It can do the reading and the busywork: reviewing search terms daily, sorting products into winners and losers, making and launching new creative. I keep a person approving changes and budgets, always.
If you already know exactly what to build, a developer. If you know something is eating your week but not what the fix looks like, you need someone who understands the business first. That's the job I do.
Ad account monitoring, order processing, customer service drafts, product content, ad creative, reporting, inventory alerts and email production are all realistic now. Strategy and final approval on spend should stay with a person.
Claude and ChatGPT for agents and writing, Gemini and several image and video models for creative, Make.com for workflows, and custom code where off-the-shelf tools stop. I pick the tool per job, not per trend.
Yes. I run stores on WooCommerce and Magento myself and work with Shopify brands every week. Most automations connect through the platform's API.
It starts with a free call. Ad-hoc work is $200 an hour; projects are scoped after a short audit, based on what the automation saves you each month.
It is if it's built with approvals. My agents propose changes and a person approves them before anything is applied, and every action is logged.
In my own businesses, it replaced three full-time roles: a bookkeeper, one to two customer service reps and an order processor. In most teams it takes the repetitive half of the week, and people move to the work that needs judgment.
Same operator behind all of it. Pick what fits where you are.
I own your growth plan and budget part-time, and run Meta, Google and Klaviyo myself. No agency layer.
Fractional CMO →Facebook and Instagram ads run personally by a senior operator. Real ROAS lifts, real dashboards.
Meta ads →Real accounts, real numbers, with the date window on every figure.
See all →Sixty minutes, one-on-one, free. Bring your weekly to-do list and I will tell you what I would automate first.