I’m trying to land my first client / first demo call and I want real mechanics, not theory. If you got your first client from cold outreach, can you break down exactly what you did? Channel: cold email, IG DM, LinkedIn, cold calls, walk-ins, referrals? Volume: how many touches/day and for how many days? What got the first “yes”: a short email, a Loom audit, a phone call, a calendar link, a free pilot? Follow-up cadence: how many follow-ups before you booked? Also: I’m not in the U.S. — did you call businesses directly to book demos? If yes, did they care about the number being international? I’m running a DBR / patient reactivation pilot (pay-per-show) for Med Spas. My goal is to book one demo call this week. Appreciate any real playbooks you used.

(7 minute read) I’m here to start a discussion about the new 2026 AI policy mandates going into to affect in many parts of the world that will directly impact all of us who are building, or who have deployed, AI products. *DISCLAIMER: This post provides policy awareness, not legal or security advice. Conduct your own research; AI policy standards and security standards evolve rapidly. If you are a brand new AI vibe coder, please check out the resources in this post before you deploy a product out into the wild for free, or to paying customers* In 2026, multiple global policy frameworks now treat AI-built apps as "products," making human builders responsible for security failures. A rigorous security workflow is essential as you build, documenting security testing, and maintaining your app after deployment. A solid paper trail will provide the backup for critical compliance metrics. THE PRE-BUILD: SECURE YOUR BOUNDARIES Before prompting, identify your "policy hot potatoes." Under 2026 frameworks, you are responsible for securing data based on where your USERS are located, not where your app is registered or built. Design an authorization model—who sees what and why—before writing code to prevent problems later. THE BUILD: TREAT SECURITY AND PRIVACY AS A FIRST PRIORITY AI defaults to the path of least resistance, not the most secure one. Weave constraints into your prompts: instead of just a "feature," request a "hardened" version with strict input validation and modern encryption. Force the AI to include error handling that hides system secrets. THE AUDIT: VERIFYING THE SECURITY OF YOUR PROJECT You are the human-in-the-loop. Under 2026 policies like California’s AB 316, and EU Product Liability Directive, the "autonomous-harm" defense is dead; you cannot blame the AI for bugs it wrote. Test for authentication bypasses, information leaks, and rate-limiting. If the AI left a "back door," it is your responsibility to lock it. If your product gets even one user in the EU or in California, you will need to make sure that your product is compliant with the policies. Know your customers.