Automations that don’t break
or leak your client’s data.

I build AI automations on n8n the way production software gets built - error handling, logging, scoped credentials - and show you exactly how, so what you hand a client still runs a month later. No 8,000-template bundles. No get-rich screenshots. Built by an engineer, not a guru.

The guide lands in your inbox, then new build breakdowns as I publish them. Unsubscribe anytime.

Why most automations quietly fail

  • Templates that break

    You import a workflow, it fails silently after an update, and the client notices before you do.

  • Demos, not systems

    Tutorial workflows have no error handling, no retries, no logging. They work once.

  • Nobody mentions risk

    Over-scoped access, exposed webhooks, client data piped into tools that keep it.

What I do differently

  • Five workflows that run beat five thousand that don’t.

  • No fake “$3,000 value” pricing. No countdown timers.

  • Real builds, real numbers, sources linked.

  • Error handling, logging, and a changelog on everything I ship.

  • When I ship workflows, an upstream update that breaks one gets patched - and you get told.

  • Your data isn’t training material.

What lands in your inbox

  • A 3-page PDF with five automation builds: lead-to-inbox, speed-to-lead replies, content multiplier, cart recovery, and meeting notes into tasks

  • For each one: the tools, the trigger, and the error handling most tutorials leave out

  • A 6-point pre-ship checklist that separates a demo from a system

  • Then new build breakdowns as I publish them, and a plain-English warning when something in the automation world breaks or leaks

Who’s writing this

I’m a senior software engineer. For over a decade I shipped and maintained production systems - payments, SaaS platforms and APIs, e-commerce and logistics, internal platforms inside large companies - the kind where a silent failure at 3am costs real money. I now build AI automations on n8n and document what I learn.

The discipline is the same as it always was: handle the errors, log what happened, scope the credentials tightly, and write down what changed. Automation is just software, and software that nobody maintains stops working.

What I don’t have yet is a wall of case studies. No client logos, no dashboard screenshots, no numbers I can’t show you the source of. So judge me on the work: read the guide, look at how the error handling is put together, and decide from there.

Get the guide

Three pages, five builds, and the checklist I run before anything goes live. A guide, not a bundle of files to import. No hype, no upsell sequence.

The guide lands in your inbox, then new build breakdowns as I publish them. Unsubscribe anytime.

Follow along on Instagram:@automatesafely