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AI Without the Bloat: A Midmarket Leader's Guide to Practical AI Implementation and Faster ROI
Ever feel like you're drowning in AI sales pitches, each one promising to revolutionize your business with their enterprise-grade, all-in-one solution? At nemo , we’re a little different. We believe that the best AI solution isn't necessarily the biggest one. Enterprise AI: ROI Not Found. Remember when enterprise software meant watching your IT team age in real-time during implementation? History's repeating itself with AI, but midmarket firms don't have to follow that scrip

nemo
4 days ago2 min read


Transform Your Website from Static to Smart: How nemo Agents Improve User Experience
Is Your Website Working as Hard as You Do? Let's be honest - traditional websites can feel like digital paperweights. Static contact forms sit there collecting dust (and maybe spam). The search box? It's about as helpful as a magic 8-ball. Meanwhile, you're losing potential customers who want answers now, not after filling out a form and waiting 24 hours. watercolor sketches of website user experience Make Your Website Work Smarter (Not Harder) Think of a nemo agent as your w

nemo
Oct 132 min read


Vibe coding: Why You Don’t Need to Speak Computer* to Build Something Brilliant
No-code AI is revolutionizing mid-market teams by enabling them to build intelligent solutions without relying on developers or long programming cycles. With platforms like nemo, companies can create visual, autonomous, and practical AI agents through simple drag-and-drop workflows, accelerating innovation, reducing costs, and empowering their teams to solve real problems with agility.

nemo
Sep 124 min read


Build Smarter Without Code: Why No-Code AI Is a Game Changer for Midmarket Teams
No-code AI is transforming the way midmarket teams build smart solutions. Instead of relying on long and costly development cycles, platforms like nemo make it possible to create visual, autonomous, and practical AI agents with simple drag-and-drop — no coding required.

nemo
Sep 33 min read


Understanding Models, Creativity Levels, and Embeddings—The nemo Way
Creating an agent in nemo involves defining its role and personality, selecting a generative model (LLM), choosing an embedding model, and adjusting its creativity level. These settings are flexible and can be tested and refined with the help of Aura before launching the agent.

nemo
Aug 263 min read


Your Agent is Only as Good as What You Feed It: Get It Ready to Answer Questions Like a Pro!
Training in nemo consists of uploading clear and relevant information (documents, FAQs, web pages, company profiles) that the agent will use as its knowledge base. The process includes defining what it should know, organizing materials, uploading them to the platform, setting boundaries, and testing responses. Keeping the content updated ensures an accurate and useful agent.

Aura
Aug 194 min read


What to Include in Your AI Agent’s Personality and Tone
In nemo, your AI agent is not just a bot: it’s a full-fledged member of your team. Its personality and tone shape how it is perceived, whether it builds trust, and how it fits with your brand. The process involves defining its role, communication style, boundaries, and brand guidelines, using templates and iterative adjustments. The goal: to create an agent that is clear, human, and consistent, making your users feel heard and supported.

nemo
Aug 144 min read


“What’s RAG, and Why Should You Care?”
RAG (Retrieval-Augmented Generation) allows an AI to consult your own documents and data before responding, avoiding errors and “hallucinations.” In Nemo, RAG works only with the information you provide—manuals, knowledge bases, policies—to deliver accurate, secure, and cited answers. With support from the Aura agent, you can choose the best model for your content without technical knowledge, making the most of your internal knowledge efficiently.

nemo
Aug 54 min read


How to Choose the Right AI Agent for the Job
If you’re new to nemo, identify who will use your AI agent and what task it will perform; start with a focused one (customer service, sales, marketing, HR, or internal support) to measure results and then scale.

nemo
Aug 43 min read


Is nemo Right for You?
In a world saturated with exaggerated promises about AI, nemo emerges as a realistic solution for creating conversational agents that solve concrete problems without technical complications. It helps companies organize and explain information, support teams with no AI expertise, and efficiently handle repetitive questions. With examples across multiple industries, Nemo makes it clear what it does —and what it doesn’t— prioritizing usefulness, learning, and measurable results.

nemo
Aug 43 min read


Which LLM Brain is Best for Your AI Agent?
Choosing the ideal language model for an AI agent can be as confusing as facing dozens of options in a supermarket aisle. Aura is the conversational assistant created to simplify that decision, guiding the choice between ChatGPT, Claude, or Perplexity based on needs such as speed, accuracy, cost, and privacy. More than just technology, it focuses on enhancing human capabilities, with Aura and Nemo as allies at every stage of building the agent.

nemo
Aug 13 min read


What Can an AI Agent Actually Do?
"nemo" is an AI designed to create and optimize agents tailored to each company, working alongside "Aura" to guide the process. It enhances—but does not replace—human judgment; it is trained with internal data, prioritizes security, and helps automate tasks, save time, and accelerate projects.

nemo
Jul 254 min read


Why Human-First AI Still Matters
The text advocates for a vision of technology inspired by retrofuturism, where innovation keeps people at the center. More than machines, what matters is the human spirit: curiosity, principles, and freedom, using AI as a tool to create and decide on our own terms.

nemo
Jul 252 min read
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