ai search
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SWIRL Enterprise 4.2: Bringing AI Search to the Kingdom of Search
Read more: SWIRL Enterprise 4.2: Bringing AI Search to the Kingdom of SearchYou’d be forgiven for thinking it’s a little strange—maybe even pointless—to bring AI-powered search to Google Workspace. After all, this is Google. The company whose name is synonymous with search. Trying to enhance Google with better search feels a bit like installing sprinklers in a rain forest. But here’s the thing: while Google’s public web…
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When Agents Go Rogue: How Agentic Search Keeps AI in Its Lane
Read more: When Agents Go Rogue: How Agentic Search Keeps AI in Its LaneAI agents are quickly becoming a centerpiece of enterprise transformation strategies. They promise to handle routine tasks, retrieve information, make decisions, and even initiate actions autonomously. On paper, they look like the future. In reality? They often act more like cats given car keys—enthusiastic, fast-moving, and completely unaware of the chaos they can cause. It’s…
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Doing Trust Falls with AI: Agent Adoption Starts Long Before You Think
Read more: Doing Trust Falls with AI: Agent Adoption Starts Long Before You ThinkWhen we talk about building AI agents, most of the focus is on infrastructure: how to connect agents to the right systems, how to manage access controls, and how to ensure reliable, secure data delivery. And yes, those are critical components—after all, agents can’t do much if they don’t have access to the right information…
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Missed Insights Are Expensive. What’s In Your Data Blind Spot?
Read more: Missed Insights Are Expensive. What’s In Your Data Blind Spot?Ever feel like there’s some critical piece of information that you just can’t find? That there’s something important, something that would help you make better decisions, sitting just out of sight? Data should be a strategic advantage. It’s supposed to fuel smarter decisions, drive customer satisfaction, and reveal new revenue opportunities. But for many businesses,…
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Lost in Data—Seeking, Not Finding
Read more: Lost in Data—Seeking, Not FindingHansel and Gretel had it easy. They were only lost in the woods once. And despite some awkwardness with a witch and a candy house, it ended up working out pretty well for them. Modern teams, on the other hand, may not have to worry about being eaten by a wicked witch, but they do…
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Agentic AI Without the Baggage: Why SWIRL + MCP is the Smarter AI Search Stack
Read more: Agentic AI Without the Baggage: Why SWIRL + MCP is the Smarter AI Search StackThere’s a common misconception in enterprise AI:If your AI agent needs access to internal knowledge, you first need to build a vector database. It sounds logical until you actually try it. Suddenly you’re drowning in embeddings, data pipelines, security concerns, and months of effort just to get a prototype off the ground. But here’s the…
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Agentic Search: The Foundation of Successful AI Agents
Read more: Agentic Search: The Foundation of Successful AI AgentsPut on a blindfold at home, and you’ll probably manage just fine—barring the occasional stray Lego. Familiarity can carry you a long way, at least until you want to cook or rearrange furniture. But blindfold yourself on a busy sidewalk, and you’re suddenly a pinball, bouncing unpredictably without scoring points (and possibly getting flattened). We…
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Interface Overload—How Fragmented Search Drains Focus and Productivity
Read more: Interface Overload—How Fragmented Search Drains Focus and ProductivityKnowledge work frequently leaves us feeling like we’ve been navigating a particularly complex train system without the benefit of a smartphone. Instead of looking for information in one place, we’re bouncing between Slack, SharePoint, email, CRM tools, databases, and countless browser tabs. Information isn’t just scattered across silos of data—it’s scattered across silos of interfaces,…
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It’ll Only Take Five Minutes is Killing Search—It Doesn’t Need To
Read more: It’ll Only Take Five Minutes is Killing Search—It Doesn’t Need ToIt’s no secret in the world of enterprise software that what doesn’t scale doesn’t work. When software doesn’t scale, performance degrades rapidly as usage increases. The catch is knowing when something doesn’t scale and that’s not always immediately obvious. The problem here is that individual solutions can scale but when you put enough individual solutions…
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The Database of Babel: Confusion in Three Letters
Read more: The Database of Babel: Confusion in Three LettersSQL has been the language of database access since time immemorial, which, in computer industry terms, means since the 1970s. Like the story of Babel, SQL has divided into numerous dialects, each one subtly different from the others. PostgreSQL, MySQL, SQL Server, Oracle—each has its own rules, syntax, and quirks. Getting the data you need…
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