Large language models (LLMs) might be the most accessible and flexible technology we've ever had access to. By default, they're presented as chatbots—but that's just one way to interact with them. With the right prompts, you can transform an LLM into something that behaves like an entirely different app, complete with its own custom interface.
Google’s air-gapped Gemini deployment in India gives regulated organizations more control over sensitive AI workloads, but access, updates, compliance, and auditability still require scrutiny.
The post Google Brings Air-Gapped Gemini to India for Regulated Enterprises appeared first on TechRepublic.
Google’s air-gapped Gemini deployment in India gives regulated organizations more control over sensitive AI workloads, but access, updates, compliance, and auditability still require scrutiny.
The post Google Brings Air-Gapped Gemini to India for Regulated Enterprises appeared first on TechRepublic.
The way to use a chatbot is given in the name. They are designed to be used by having two-way conversations with the LLM using natural language. You type something into the chatbot, and it replies. In some cases, continually typing stuff into a chatbot isn't the most efficient way to do things, so I set up a system that does it for me.
I used to spend far too much time building and debugging complex Excel formulas. Now, I can describe a problem to AI and get a working answer in seconds. But when I asked ChatGPT, Claude, and Gemini for the "best" Excel formula, they all gave me different answers.
The more comfortable I get using AI to help me code, the more curious I become about how the major platforms compare when they're given the exact same job. It's easy to ask Claude, ChatGPT, or Gemini to create a simple app and come away impressed when something functional appears a few seconds later. But that doesn't necessarily tell you whether the code is secure, well structured, or capable of handling situations beyond the most obvious use case.
Are you deeply invested in the Google ecosystem? Do you actively use Google Keep, Tasks, Calendar, and Drive in your day-to-day life? Individually, each of these is an excellent tool—minimal by design but solid in functionality. The only problem is that these apps are mostly isolated from one another. But if you add Gemini as an orchestration layer, all of these tools can start talking to each other. That's exactly what I did, effectively turning Gemini into my personal project management system.
You no longer have to launch Gemini to have Google's AI handle some tasks. Google is rolling out connections between AI Mode in search and multiple popular services, making it possible to complete some tasks with little more than a prompt.
Google Gemini Spark’s new app connections move the AI agent into files, apps, and MCP servers, creating new governance questions for IT teams.
The post Gemini Spark App Connections Arrive Before Enterprise Controls appeared first on TechRepublic.
Google Gemini Spark’s new app connections move the AI agent into files, apps, and MCP servers, creating new governance questions for IT teams.
The post Gemini Spark App Connections Arrive Before Enterprise Controls appeared first on TechRepublic.
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