Articles

Even simple AI prototypes can fail in subtle ways if you don’t plan who can access your app and what they can do. Authentication and authorization are the foundations of access control, helping you keep your data and features secure. This article explains the difference between authentication (verifying who a user is) and authorization (controlling what they can access). You’ll learn practical considerations for prototypes, including role-based access, API tokens, and lightweight methods to protect early versions of your app.

Customer satisfaction surveys only tell part of the story. When AI transforms your customer experience, the real value shows up in customers who stay longer, buy more, and recommend you to others, but measuring that impact requires looking beyond traditional metrics. This article provides a complete framework for connecting AI investments to retention, lifetime value, and long-term relationship health.

Synchronous vs asynchronous execution is one of the most important architectural concepts vibe coders overlook. Choosing the wrong one can make your prototype slow, unresponsive, or unexpectedly complex. In this article, you’ll learn the core differences between sync and async work, why async is not “faster” by default, when each approach makes sense, and how AI-powered prototypes often rely on both.

Measuring AI ROI gets tricky when the biggest value is what didn’t happen. This article tackles the measurement challenge of error reduction and risk mitigation.

Choosing a database is one of the most important architecture decisions a vibe coder will ever make. Most early prototypes default to “whatever is easiest,” but as soon as the app grows, that choice impacts performance, reliability, scalability, and even cost.

85% of organizations misestimate their AI project costs by more than 10%. That’s not a typo; it’s the uncomfortable reality facing every company investing in AI. While time savings and revenue metrics tell you how much better you’ll perform, Cost-Benefit Analysis answers the fundamental question: Should you invest at all?

Data structures are the foundation of how your prototype stores, organizes, and moves information. For vibe coders building AI-powered apps, unclear or inconsistent data structures can quickly lead to brittle code, confusing bugs, and unpredictable failures.

Organizations using AI report 29% higher revenue growth than their peers. But can you prove YOUR AI is actually driving revenue? That’s the difference between hoping AI works and knowing it works. The numbers are staggering when AI sales impact is measured correctly.

Want to prove AI ROI fast? Start with efficiency gains.

Workers using generative AI save an average of 5.4% of their work hours, about 2.2 hours per week. But the top performers are seeing 30-60% time savings on specific tasks, with measurable results in as little as 6-8 weeks.