Fig. 001 — The Built World
The bridge you crossed this morning was engineered. The workflow your team suffers through every day was not — it just accumulated. I'm the engineer who redraws how companies work, with AI.
Nothing about the physical world is accidental. Somebody surveyed the problem, drafted a solution, and built it to tolerance.
Most company workflows weren't designed — they piled up. Every hire inherits the pile and adds to it. That's why your team spends hours on work a machine should do in seconds.
I survey how your company actually works, draft the system that should exist, and build it — with AI doing the reading, routing, extracting, and deciding that used to eat your team's day.
Every engagement produces a working system, not a slide deck. These are the sheets in the set.
Put AI inside the processes your team runs by hand — reading documents, triaging inboxes, answering customers, extracting data, and making the routine calls — with humans kept on the exceptions.
Open sheetScripts, workers, schedulers, and connected workflows that replace repetitive manual operations end to end.
Open sheetProduction-grade scraping and data systems that turn scattered market, product, and pricing data into usable intelligence.
Open sheetMake the platforms you already pay for finally talk to each other — ERPs, carriers, storefronts, databases, internal tools.
Open sheetControl panels and operational tooling that give your team visibility and leverage instead of tab-switching.
Open sheetFour operations most companies run by hand — as found, and as re-engineered. If one of these looks like your Tuesday, we should talk.
Every order touches a human. Errors ride along. Nothing happens after 6pm.
Humans touch the ~5% that need judgment. The rest just flows — nights and weekends included.
Your best people spend their day on questions a system could answer.
Customers get answers at 2am. Your team handles the 10% that deserve a person.
A document a machine can read, read by people — slowly, with typos.
The pile disappears. Your bookkeeper reviews exceptions, not envelopes.
Your visibility into the business is a weekly art project.
Monday's meeting starts from the same numbers — nobody built them by hand.
Documented builds, with the numbers left in. Full drawings available in the case studies.
A multi-session platform where AI drafts and handles support chats — refunds, replacements, price matches — with structured logging and a training-data feedback loop.
A purchasing engine, multi-carrier tracking, operator desktop, and chat automation orchestrated across multiple servers as one coordinated system.
A hardened scraping pipeline that survived 89 Cloudflare blocks to deliver analyst-ready importer data at a 4.88/5 confidence score.
You've got three ways to fix an operational bottleneck. Two of them are how it usually goes wrong.
I map how the work actually flows today — including the parts that only live in someone's head.
You get a drawing of the system that should exist: what AI decides, what software moves, what humans keep.
Automation, integrations, AI pipelines, and tooling — engineered for production, not for demos.
The system runs against real work, side by side with the old way, until the numbers say it's better.
It ships, it runs, and it keeps getting extended as your operation grows.
Long-form write-ups on production scraping, browser automation, AI extraction pipelines, and the back-office systems that hold them together.
A walkthrough of how I structure production Python scrapers — pipeline stages, idempotent storage, block-aware fetching, and the architectural decisions that separate a one-shot script from a system you can put on a schedule.
Read the article →A practical comparison of Playwright and Selenium for production browser automation work — selector engines, async control, network interception, anti-detect integration, and why I default to Playwright for ~95% of new projects.
Read the article →How to architect a parallel browser automation worker pool with Python, Playwright, and MySQL — queue design, worker partitioning, recovery from crashes, error capture, and the operational discipline that keeps long-running runs stable.
Read the article →Tell me what's slow, manual, or held together with copy-paste. I'll draft the system that should exist instead — then build it.
No pitch decks, no sales calls — just a straight answer on what should be built and what it would take.
