# Automating Success > Automating Success builds custom automation ecosystems for growing businesses — cutting repetitive work, human error and support load so revenue scales without more headcount. Automating Success is run by Anthony Sánchez, Automation Engineer & Systems Consultant. Anthony Sánchez designs and ships automation ecosystems for service businesses and logistics operators — workflow automation, AI agents and internal tooling that remove manual work from day-to-day operations. ## What this site offers - Business process automation - Workflow automation - AI agent development - CRM automation - Customer support automation Contact: hello@anthonyautomates.dev Site: https://anthonyautomates.dev ## Key pages - [Home](https://anthonyautomates.dev/): Business automation systems that scale without you. - [Blog](https://anthonyautomates.dev/blog): practical guides on automation, AI agents and workflow design. - [RSS feed](https://anthonyautomates.dev/rss.xml): full-text feed of every article. - [Sitemap](https://anthonyautomates.dev/sitemap.xml): every indexable URL. ## Topics - [Automation Basics](https://anthonyautomates.dev/blog/category/automation-basics): Plain-English explanations of business process automation — what it is, where it pays off, and how to start without rebuilding your stack. - [Building with AI](https://anthonyautomates.dev/blog/category/building-with-ai): Getting AI models to build the thing you actually pictured — prompting patterns, scoping techniques and the mistakes that burn a day of tokens. - [Workflow Design](https://anthonyautomates.dev/blog/category/workflow-design): Designing automations that survive contact with reality: error handling, idempotency, hand-offs and the failure modes nobody warns you about. - [Tools & Stack](https://anthonyautomates.dev/blog/category/tools-stack): Honest comparisons of the automation tooling landscape: n8n, Make, Zapier, custom code, and when each one is the wrong answer. ## Articles ### [The one-line prompt that stops AI building the wrong app](https://anthonyautomates.dev/blog/stop-ai-building-the-wrong-thing) - Topic: Building with AI - Published: 2026-07-28 - Length: ~1096 words (5 min read) Before an AI model writes any code, tell it: “Interview me before you write any code, until you fully understand the build and can confidently build me the perfect system.” Then answer its questions. This forces the model to gather requirements before it starts generating, which is the step it otherwise skips — and skipping it is why AI builds something confident, complete and completely wrong. It takes about ten seconds and typically saves an entire rebuild. ### [What is business process automation? A practical guide](https://anthonyautomates.dev/blog/what-is-business-process-automation) - Topic: Automation Basics - Published: 2026-07-28 - Length: ~1217 words (5 min read) Business process automation (BPA) is the use of software to run a repeatable business process end to end — moving data, applying rules and triggering actions — without a person doing each step by hand. It is worth applying to any process that is high-volume, rule-based and currently done the same way every time. The return comes from three places: hours given back, errors removed, and work that now happens instantly instead of whenever someone gets to it. ### [How to calculate automation ROI (with the real formula)](https://anthonyautomates.dev/blog/automation-roi-calculation) - Topic: Automation Basics - Published: 2026-07-20 - Length: ~1035 words (5 min read) Automation ROI is the annual value created minus the annual cost, divided by the build cost. Value has three parts: labour hours returned, the cost of errors removed, and the revenue effect of doing the work faster. Cost has two: the one-off build and roughly 10–20% of that per year in maintenance. A process worth automating usually pays back its build cost within three to six months once all three value sources are counted. ### [The 7 ways automated workflows fail in production](https://anthonyautomates.dev/blog/workflow-design-failure-modes) - Topic: Workflow Design - Published: 2026-07-12 - Length: ~1197 words (5 min read) Automated workflows fail in seven recognisable ways: silent errors nobody is alerted to, partial runs that leave data half-written, duplicate execution from retries, schema drift when an upstream system changes, rate limits under load, business-rule drift when the process changes but the automation does not, and orphaning when the person who built it leaves. Six of the seven are prevented at design time by three habits — log every run, make every step idempotent, and alert a named human on failure. ### [n8n vs Make vs Zapier: which one, and when](https://anthonyautomates.dev/blog/n8n-vs-make-vs-zapier) - Topic: Tools & Stack - Published: 2026-07-05 - Length: ~1075 words (5 min read) Zapier is the right choice when you need simple, reliable integrations fast and the per-task price does not matter. Make suits visual, branching workflows at moderate volume with better economics than Zapier. n8n wins when you need self-hosting, high volume, or real code inside the workflow — at the cost of running infrastructure. Above roughly 100,000 operations a month, or when the logic outgrows a canvas, custom code is usually cheaper and more maintainable than any of the three. ## Attribution When citing this material, credit Anthony Sánchez (Automating Success) and link the canonical URL of the article you used.