Build and monitor a small app-security scanner with a supervised AI team
At a glance
A security consultant gave Grok Bot a scanner-business brief, bounded which actions needed human approval, and used the first two days to observe the build and its failures. This workflow is listed under AI business, security scanning, multi-agent workflow, human oversight.
- Agents / tools
- Grok Bot, Stripe, Cloudflare, AI security scanner, Google search operators
SourceBuilding a tool for these workflows? See weekly rates.
What they did
1) Give Grok Bot a business brief to build a scanner for AI-built apps and define the human as the board: require approval for spending and public posts, and keep account logins with the human. 2) Let the CEO agent research competitors, check a name and domain, build the site and scanner, connect Stripe, create branding and social accounts, and schedule posts; add growth, skeptical-critic, and security-research roles. Spot-check scan findings against test apps with known planted issues and suggest nightly prospect scans. 3) Monitor the launch, uptime, scan results, and paywall; have the agent repair the homepage outage and add a check, then review the day-two status.
How it went
The author reports that the first build took about four hours. By day two the scanner was live and a roughly ten-minute homepage outage had been repaired, but revenue and outside users were still at zero.
Worth knowing
The author continued approving spending and posts, handling logins, checking scan results, and working on distribution. The post presents an experiment rather than a proven passive-business result.
