Lets Viz Technologies | AI Automation & Data Analytics Company
Discover how businesses use AI and low-code tools like Make.com, n8n, and Zapier to automate workflows, reduce costs, and scale faster. These articles are designed for founders and decision-makers seeking practical, ROI-driven automation insights
TL;DR If you want the most capable agentic workflows right now, Perplexity’s Comet Browser edges ahead thanks to robust web research and background assistance with a free core experience (rate-limited). ChatGPT Atlas is newer and tightly integrated with ChatGPT; it’s macOS-first and its Agent Mode is in preview for paid ChatGPT plans—great for teams already standardized on OpenAI. For most
If you want fast, conversational answers with clear sources inside the response, ChatGPT (with ChatGPT Search and the Atlas desktop browser) is the best all-rounder for everyday browsing. If you prefer structured, long-form investigations tightly connected to the Google ecosystem, Gemini (with Deep Research, Grounding, and Gemini in Chrome) is excellent for multi-page briefs. For “computer use”—agents that click, type,
You’ve probably heard the buzz about AI agents. Maybe you’ve even wondered if they’re just another shiny new toy, or if they’re the real deal. As someone who’s spent countless hours building workflows and unraveling the complexities of automation, I can tell you this: AI agents are a game-changer. But here’s the thing—they’re not a replacement for everything that came
When I first started building scenarios in Make.com, I thought automation was just about moving data from one app to another. But then I discovered aggregators—and suddenly, my workflows went from “just functional” to super efficient. If you’ve ever needed to group, summarize, or combine data, aggregators are your best friend. They help you take multiple data bundles and merge
When I first started building automation workflows in Make.com, I quickly realized that the real magic isn’t just in connecting apps—it’s in transforming the data between them. Data rarely comes in the exact format you need. That’s where functions come in, and trust me, once you get comfortable with them, you’ll feel like you’ve unlocked cheat codes for automation. In
TL;DR Claude Code on the Web introduces a secure, sandboxed environment for AI coding — letting developers and automation teams run tasks directly in their browser without endless permission prompts. The breakthrough? Anthropic’s sandboxing model reduces approval fatigue by 84% and makes AI coding assistants far safer for business adoption. It’s not just a technical upgrade — it’s a new
TL;DR OpenAI Agent Builder is ideal for building AI-native agents with built-in guardrails, versioning, and fast prototyping inside OpenAI’s ecosystem. n8n, on the other hand, excels in system integration, workflow orchestration, and data control. If you want simplicity and OpenAI-native performance, choose Agent Builder. If you want flexibility, self-hosting, and enterprise-grade control, go with n8n. Many businesses benefit from a
If you’ve ever built complex automations in Make.com, you’ve probably noticed that data doesn’t always arrive in neat, single-item packages. Sometimes it comes in lists, arrays, or collections — like multiple emails, attachments, or rows from a spreadsheet. Early on in my Make.com journey, I realized that mastering how to split, process, and reassemble data was the difference between a
When I first started building automations in Make.com, I thought handling dates and times would be simple — until I discovered how quickly things get confusing with time zones, formats, and date functions like parseDate() and formatDate(). If you’ve ever seen a timestamp in your scenario output that looked hours off or didn’t match your local time, you’re definitely not
TLDR: This AI automation glossary explains 50 essential terms—from LLMs and RAG to AIOps and workflow orchestration—in clear business language. Use it to make faster decisions, brief your team, and spot automation opportunities without getting lost in jargon. Why this matters now: Generative AI and automation have moved from experiments to executive priorities. McKinsey estimates generative AI could add $2.6–$4.4
When I first started building automation scenarios in Make.com (back when it was still Integromat!), I quickly realized that not every app I wanted to connect had a prebuilt module. That’s when I discovered the HTTP module — the secret door to unlimited integrations. If you’ve ever wanted to connect to an API that Make doesn’t officially support, or customize
When I first started using Make.com, I kept coming across two words that sounded similar but actually meant very different things: execution and cycle. It took me a while (and a few confused scenarios) to really understand how they work together. Once I got it, though, my automations became smoother, easier to debug, and way more efficient. In this blog,
When I first started building scenarios in Make.com, I quickly realized that three things form the backbone of almost any automation: connections, webhooks, and filters. These are the tools that make your workflows smarter, faster, and more flexible. In this blog, I’m going to walk you through what they are, how they work, and how I use them in real-world
When I first discovered data transformation in Make.com, I realized it was the secret ingredient that turns a simple automation into a powerful, enterprise-ready workflow. At its core, data transformation is about converting data from one form to another so it’s easier to read, process, and act on. In Make.com, this transformation is achieved through functions—small, built-in commands that manipulate
Workflow automation has evolved from simple macros and RPA (Robotic Process Automation) to something far more intelligent: Large Language Models (LLMs). Today, SMEs can offload not only repetitive tasks but also decision-making, reporting, and customer communication to AI-powered workflows. But with multiple LLMs competing—OpenAI’s GPT, Anthropic’s Claude, and Google’s Gemini—the question is no longer “Can AI automate my workflows?” but
TLDR The best low-code AI tools for automating operations are platforms like Microsoft Power Automate, Zapier, Make (formerly Integromat), n8n, and UiPath Apps, which allow businesses to streamline workflows without heavy coding. These platforms provide drag-and-drop interfaces, AI-powered connectors, and prebuilt templates that make it easier for small and mid-sized enterprises (SMEs) to automate repetitive tasks, integrate data, and optimize
When I first started building scenarios in Make, I often ran into the same problem: I had too much data scattered across multiple bundles, and I needed a way to combine it into something useful. That’s when I discovered aggregators. In this post, I’ll walk you through what aggregators are, how they work, and why they’re so powerful. I’ll also
TLDR: AI search now answers queries directly in conversational results, often without a click. GEO (Generative Engine Optimization) is how you structure content, data, and brand signals so LLMs select, summarize, and cite your business in those answers. If you don’t optimize for AI assistants and overviews, you’ll lose visibility even if your classic SEO rankings look fine. What is
TLDR AI automation for SMEs is about using artificial intelligence tools to handle repetitive, time-consuming, or complex tasks that traditionally required human effort. In India, the UK, and the US, small and medium-sized enterprises are increasingly adopting AI-powered automation to cut costs, speed up workflows, and compete with larger companies. The most common areas where AI automation helps SMEs include
Technical Definition & Purpose AI Agents in Make.com represent a new generation of automation that goes beyond traditional workflows and AI-enhanced tasks. Unlike predefined step-by-step rules, agentic automation empowers AI agents to dynamically decide the best course of action to achieve a business goal. This enables businesses to handle complex, unpredictable processes with greater efficiency. In practical terms, AI agents
TLDR Auditing your company for automation opportunities means reviewing every workflow, department, and repetitive task to see where technology can replace or augment human effort. The process is not just about adopting new tools — it’s about identifying inefficiencies, reducing costs, and freeing up employees for more valuable work. The automation audit checklist includes six steps: Map business processes. Spot
What is an AI-driven customer support bot with Vapi/Twilio + n8n?It’s a voice-first (or omnichannel) assistant that answers inbound calls, optionally makes outbound calls, understands intent, fetches answers from your knowledge base or CRM, creates/updates tickets, and posts outcomes to your systems—automatically. Vapi provides the real-time voice AI layer (ASR + LLM + TTS orchestration), Twilio provides telephony (phone numbers,
TLDR: What is n8n? n8n (pronounced “n-eight-n”) is an open-source workflow automation tool that connects apps, APIs, and services to streamline repetitive tasks. It works like Zapier or Make but offers more customization, self-hosting, and data privacy. With over 350+ ready integrations, n8n lets you build automated workflows visually using drag-and-drop nodes — no heavy coding required. Businesses use it
TLDR By 2030, small and mid-sized enterprises (SMEs) will transition from relying on rigid workflows to leveraging AI-powered workforces. These workforces will be built on AI agents—autonomous digital systems that can perceive, decide, and act with minimal oversight. Unlike traditional automation tools, AI agents adapt, learn, and collaborate across business functions. For SMEs, this shift means lower costs, faster scaling,
Established in 2020, Lets Viz Technologies provides a full range of high-quality data analysis and data visualization services. We are also an authorized Zoho Partner.
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