You asked, we answered: a definition of nemo compared to other options. Let's start with the classic question: What's an agent and what's a bot? To understand this, you could look on the web. But when you search "bot vs. AI agent" you’ll probably find a variety of responses, such as Microsoft's "AI agents are autonomous systems that reason independently and execute multi-step tasks and Salesforce's, which calls them "autonomous agents" that process and analyze large amounts of information...

A simple framework for keeping your agents accurate, consistent, and improving over time. So you’ve launched your first nemo conversational agent . And it works great. Perhaps it's a customer FAQ bot. Maybe it qualifies leads on your website . No matter its mission, it handles tedious, time-consuming communications so your team can focus on the needle-moving work. Now, your agent works so well that others want one too. A coworker asks: "Can we build one for onboarding?" Someone else wants one...

Your data is your business. Here's how nemo keeps it organized, protected, and working for you. Is Your LLM Keeping Your Prompts and Reference Data Organized? If you’ve been using a general-purpose LLM like ChatGPT, Claude, or Copilot for a while, you may be noticing some overlap. When you ask the LLM to reference a specific document, its response includes unrelated information. Perhaps you've also seen that there is no easy, default way to avoid data cross-pollination for projects (or...