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#273 · the 5 tiers of client outreach, ranked

youtube ↗AI & Automation

What are the legal and privacy concerns of automating tasks like sending emails, scraping web pages, and connecting APIs, especially regarding terms of service and potential fines in the EU, Canada, US, and elsewhere?

The laws governing automation in the EU are essentially the same as those in Canada, the US, Australia and other British Commonwealth nations; there’s no major fundamental difference. The issue is that the laws are written vaguely, and people tend to apply that vagueness to themselves. When you automate systems you inevitably connect APIs, scrape web pages, and do other things that violate the terms of service of the websites and businesses you work with—scrapers are generally disliked, and while agents are changing things a bit, the basic reality remains. It’s similar to jaywalking: if you examined every law in your jurisdiction you’d likely find you’re breaking some rule somewhere. I’m not telling anyone to break the law, and I’m not a lawyer, so I can’t give legal advice. All I can share is my own experience, which has always been a risk‑to‑reward calculation.

legalityprivacyautomationterms-of-service

Related answers

youtube ↗Cold Email

How can I ensure my automation scraping social media platforms complies with GDPR and other regulations when selling to European clients?

Great question. I'm not a lawyer, so this isn't legal advice, but I've thought through the risk-reward balance. Regulations like GDPR, CAN-SPAM, and similar laws worldwide mainly target large-scale spammers sending millions of junk emails a day. They're less likely to go after someone sending a few hundred highly personalized, value-first outreach emails, especially when the data comes from LinkedIn where users have implicitly consented to being contacted. My personal litmus test is similar to wearing a helmet while ice skating: if you're not experienced, extra precautions help, but they can become cumbersome. I've found that targeting European markets works fine if you play it by ear and accept the risk; otherwise, focusing on the U.S. market avoids most regulatory hassle, pays more, and lets you scrape freely.

gdprscrapingcompliancecold email
youtube ↗AI & Automation

Are the complex automation flows promoted by creators practical and maintainable, or are they just for views?

The vast majority of those elaborate AI‑agent flows you see online are just for views—they don’t actually make money because the agents aren’t reliable enough to do real work. Businesses don’t want a model that can answer in a million different ways; they want a highly constrained output—maybe just five or six possible answers—so they can control most of the content. What they really want is for you to scrape a resource, run it through an LLM API to get a few rephrased versions (like icebreakers or paraphrased job titles), and then slot those into a templated email or document. The LLM fills in only the small, variable pieces while the rest stays fixed, giving them control and reducing unpredictability. In short, treat LLMs as APIs rather than autonomous agents; that’s where the money is right now.

automationai agentsllms
youtube ↗AI & Automation

Tusef asks if automation is simple and can't be sold.

He explains that automation agents aren't super valuable yet but are close; the real value is in how you follow up, not the automation itself; you shouldn't treat leads like criminals; use a friendly, assumptive tone to preserve relationships and increase response rates; examples from Alex Hormozi show that a courteous check‑in works better than harsh automated messages.

automationagents