Ten Data Security Checks for AI-Built Apps Before Launch

Ten Data Security Checks for AI-Built Apps Before LaunchTen Data Security Checks for AI-Built Apps Before Launch

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Andrés Sepúlveda Morales

max

• Oct 5

An AI-built app can work perfectly while any stranger can read its customers' data. Nothing on screen shows it.

Ask whoever built it: which tables hold user data, and what stops a logged-out stranger from reading each one? A good answer is a list. "It should be fine" means nobody has checked.

Nobody to ask? My free kit walks you through all ten checks, with a scorecard and an AI coach.

AI Development AI Engineer AI Automation

Is Your AI-Built App Ready for Real Users? An Owner's Guide

Andrés Sepúlveda Morales

Max

$0.00

Asif Hameed

pro

• Oct 6

Andrés, this is the check most founders never run, because nothing breaks until someone looks. Asking for the list of tables and who can read each one is a test any owner can do without writing code. Row level access belongs on the launch checklist, not the cleanup list.

Shamik Sharma

• Oct 2

Made this 31-second launch video for ProducerSpark.

Most companies never make a video like this. The quote comes back at $5,000 and a month of meetings, so the idea dies in a Slack thread.

Their product is two agents that build an insurance producer's pipeline. One finds the prospects, one reaches out to them. That's a lot to explain on a website. So I put it in a video you can watch before your coffee cools.

People book a demo when they understand what you do. A 30-second video gets them there before they've finished scrolling your homepage.

Completed work

AI Automation Design Engineering Motion Design Adobe Illustrator ChatGPT Higgsfield AI

Katya Dominguez

pro

• 13h

So cute! and great job :)

Louis Dodou

pro

• Oct 2

One quarterly number almost got double-counted across two reports.

Two dashboards were quietly tracking overlapping data. Caught before it went out now there's one source of truth the reports pull from, not two that can disagree.

→ A good number is only as good as the one place it actually comes from

AI Agent Development AI Automation Business Workflow Automation Make Retell Ai Vapi

Sharuque Moideen

• Oct 4

Great catch before it shipped. I like the “one source of truth” framing - pulling reports from one validated source makes it much harder for a duplicate dashboard to quietly skew the number again.