Systems | Development | Analytics | API | Testing

You can talk an AI model into breaking its own rules. Sometimes, all it takes is knowing what to say. Dr. Peter Garraghan has spent years studying how attackers exploit AI systems, and some of his findings are surprisingly human. AI models can be manipulated through language, using techniques that resemble the social engineering tactics cybersecurity professionals have dealt with for decades.

How do you create a weekly GA4 report with AI? Run the free GA4 Website Traffic & Performance Report skill in Databox. Genie, the Databox AI Analyst, reads your live Google Analytics 4 data and writes the whole weekly report: the verdict, channels, landing pages, conversions, trends and anomaly flags. The same skill also runs in Claude through Databox MCP. In this video: Chapters Key terms Tools and data sources shown: Google Analytics 4, Facebook Ads, Asana (Asana MCP connector), Slack, Claude with Databox MCP. All data is a fictional demo account.

How do you create a monthly executive report with AI? Run the Executive Decision Brief skill in Databox. Genie, the Databox AI Analyst, reads your connected metrics and writes a one-page leadership brief: the executive takeaway, wins, risks, contradictions between metrics, and three "Should we..." decisions to discuss. It reads in about 90 seconds, and the same skill runs in Claude through Databox MCP.

Learn how AI handles different types of testing, from simple unit tests to complex end-to-end setups. Discover where AI succeeds in writing test code and where human strategy is still needed. Learn more: speedscale.com.

Learn how to test your application's fallback mechanisms by intentionally injecting chaos and simulated dependency failures into recorded API traffic. Easily configure scoped rules to inject status code errors or delays during mock runs to verify your app handles failure gracefully. Learn more: speedscale.com.