
Event-driven AI - building composable AI systems
How event-driven architecture enables AI systems that can be built, scaled, and maintained like Lego blocks. The key to sustainable AI architecture.

How event-driven architecture enables AI systems that can be built, scaled, and maintained like Lego blocks. The key to sustainable AI architecture.

Everyone obsesses over the technology. But after watching dozens of implementations crash and burn, the pattern is clear - AI projects fail when organizations forget they are asking humans to change how they work, not machines to compute faster.

Bad examples teach AI boundaries better than good ones. After testing hundreds of few-shot prompts in production at Tallyfy, here is why negative examples consistently improve AI performance by showing what not to do.

Most companies communicate AI changes like feature announcements when they should focus on career growth opportunities. Mid-size companies have a unique advantage here - they can make it personal.

Great prompts are discovered through systematic iteration and testing, not designed upfront. After years of terrible attempts, here is what works for professional prompt engineering.

RAG systems dont create new security risks - they amplify whatever data security posture you already have. Weak access controls become glaringly obvious when your AI can retrieve anything.