Building AI agents can quickly become complex and confusing. At Bitovi, we're always looking for ways to streamline efforts for all of your production use cases, not just that first POC. That's why we've developed techniques to help ensure your agents don't get confused as you scale and give them more to do.

Trying to finish personal projects can be tough. Seeing a graveyard of half-finished repos on your GitHub is discouraging. Often, the problem starts with jumping into a project without planning. No clear plan, just a repo and a dream. Or maybe you start with a plan but struggle to track progress. Regardless of why you're struggling, a bit of project management can really help.

Google’s newest AI tool, Stitch, promises to speed up the product design process. But does it actually accelerate design, or does it create “design debt” that organizations must reckon with later in their product lifecycle?

Most AI integrations stop at chat. Chat with a bot. Chat with a PDF. Chat with a bot that chats with other bots. It’s everywhere—and mostly unhelpful.

What if you could pinpoint exactly where your website loses potential customers—and, more importantly, where to focus your efforts to win them back? That’s exactly what the Website Conversion Enhancement Calculator was built to do. This simple yet powerful tool helps teams take the guesswork out of conversion optimization and focus on what will move the needle.

Some time ago, my wife and I were planning a trip to France and Italy for our family (mostly my wife because she’s just awesome), and I was doing the DevOps Director thing, blissfully unaware of the impactful changes that AI would soon have on my emotional state, my existential complacency, and my hope for an abundant future.

AI can be transformative, but it can also fail spectacularly if user experience and real-world needs aren’t top priorities. Sometimes, the biggest danger is what you don’t see: overconfidence in AI’s novelty, untested assumptions, and a fuzzy plan for how users will adapt. Below, we’ll explore the six biggest ways AI projects go off the rails, along with strategies to mitigate risk and apply a rigorous process to your next AI initiative.