There’s a persistent myth that building AI products requires throwing out everything we know about Agile. That AI is fundamentally different. That "AI Success" demands large teams, big budgets, longer runways, bigger bets, or fully formed platforms before users ever see value. That wasn’t our experience
Anthropic’s Claude helps me with a lot of tasks. I write techblogs about the things I do so people can see how cool, smart, and busy I actually am, so why shouldn’t Claude get to do the same as it does more and more of the work for
The "Side-Scanning" Revolution (Agentless Security) The core problem with traditional security is that it tries to run "inside the house." It sits on the server, fighting for resources. Our approach separates the duties: * For Scanning (Agentless Side-Scanning): Instead of installing software on the live servers processing
Every AI product team eventually hits the same crossroads: just because you can put something in a chat interface does not mean you should. Chat is fast, flexible, and incredibly capable, but it is not a universal solution. Sometimes chat accelerates the user. Other times it slows them down, disrupts
The Theory of Constraints (TOC) teaches a simple truth: every system has a limiting factor that determines its overall performance. Improving anything other than that constraint is wasted effort. In manufacturing, that constraint might be a slow machine. In software, it is often the people who carry the highest cognitive
Almost every complaint about AI agent tools going off the rails reduces to one problem: if AI is misbehaving, you haven’t built your project with enough rigor and structure to enable autonomous development. The irony is that building effectively with agents forces you to face fundamentals many engineers avoid.
The Rise of Malicious Bot Traffic The internet is now dominated by automated activity. According to the 2025 Imperva Bad Bot Report, bots generate over 51% of all web traffic, and nearly 37% of that is malicious. In other words, more than two-thirds of automated requests online are from “bad
When a SaaS provider has an incident, most of the time any software that's downstream of the issue will also experience some form of outage. In a perfect world, these integrations are built with a reasonable fallback - beyond a friendly, "Oh no, our stuff is broken!
Before a single screen was designed or a line of code was written, we knew this much: Velo™ couldn’t just be another AI bot. It had to go beyond what ChatGPT, Gemini, Claude or other agents could do. We weren’t building a tool for the tech-savvy. We were
In the competitive landscape of business formation and compliance services, the difference between a good company and a great one often comes down to technology. Today, we're pulling back the curtain on ZenBusiness's Enterprise API—a sophisticated, standards-based platform that powers business formation and compliance services
... Of what Google Cloud Platform (GCP) billed us for GKE (Google Kubernetes Engine) usage lately: Clearly, something happened at a specific point in time in both of our environments that noticeably reduced our costs. What was that? It was Cast.ai! Kubernetes Autoscaling Kubernetes has mechanisms that let it grow
At ZenBusiness, we’ve spent years learning how to make remote work succeed across time zones and cultures. Sometimes we did well; other times, we failed miserably. One example still stands out. In a recent team survey, someone with a strong overall sentiment score (a 4 out of 5) said
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Building a Server-Driven UI Without Losing Frontend Control Imagine you're building a chat-based assistant UI. One that has to juggle simple messages, interactive carousels, buttons, forms, and the occasional error state. And it needs to do all of that gracefully, even in long-running conversations, without turning into a
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About two months ago we at ZenBusiness launched Velo™, the AI assistant built specificially to accelerate small businesses. As of this writing, customers have had over 75,000 conversations with Velo™. Velo™ is more than just a chatbot, and it's more than a cloned Jupyter notebook from an
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Most of the time, the hardest decision in building something new isn’t what to build. It’s where to start. That was true for us when we began building Velo™. As an established company with hundreds of thousands of customers, existing workflows, and a mature tech stack, we couldn’
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Sharing is the foundation of every thriving community When we launched ZenBusiness Velo™, our AI Agent experience, a month ago, we benefitted immensely from others in the tech ecosystem who have openly shared their patterns, learnings, and tools. That generosity has helped us avoid mistakes, accelerate our thinking, and push