Alan Walsh

I created an automation that allows AI agents to answer questions based on spreadsheet and database data accurately and efficiently. Traditional vector stores often struggle with this task, especially when it comes to structured data like spreadsheets. They usually return poor results, as semantic search retrieves chunks of documents that are often out of context. … Read more

I created an automation that builds a multimodal Retrieval-Augmented Generation (RAG) agent capable of indexing and analyzing complex PDFs containing text, images, and tables at scale. This agent goes beyond simply extracting text—it understands images using an AI vision model and responds to queries with images and tables embedded directly in its answers. This approach … Read more

Fine-tuning is a powerful way to transform your AI agents, making them more specialized, reliable, and aligned with your unique tone of voice. In this article, I’ll walk you through how to get started with fine-tuning, explain why and when to use it, and share a system I built using Airtable and n8n that allows … Read more

Building AI automations and agents involves understanding many concepts that help you create smarter and more efficient workflows. In this article, I will explain over one hundred of these essential concepts in a clear and practical way. This guide is meant to help you gain a solid grasp of AI automation, whether you’re just starting … Read more

I created an automation that explains how data flows and looping works within n8n. When building workflows, you often need to handle multiple items at once, whether those are rows from a spreadsheet or multiple results from an API call. Understanding how n8n manages these items and how to control the processing can make your … Read more

I created a comprehensive crash course to help you build automations and AI agents using n8n, guiding you from an absolute beginner to a confident creator of full workflows. By the end, you’ll understand key concepts that allow you to build more advanced automations. This article breaks down the process step-by-step, explaining technical ideas in … Read more

In my latest exploration of Make.com, I focused on its exciting new feature, the Model Context Protocol (MCP). This enables users to connect external agents, such as Claude Desktop, directly to their Make.com accounts. The beauty of this feature lies in its ability to let these agents discover, understand, and execute scenarios without requiring complex … Read more

Creating client-branded applications doesn’t have to be complicated. In this guide, I’ll walk you through the process of building a multi-step article generation app using Lovable for the front end, Supabase for the backend, and n8n for automation—all without writing a line of code. Building client-branded applications involves several key concepts that can simplify the … Read more

In this guide, I’ll show you how to efficiently bulk add rows to Google Sheets using Make.com. This method not only streamlines your workflow but also saves on operations, making it a smart choice for handling large datasets. Introduction to Bulk Adding Rows Bulk adding rows in Google Sheets can transform your data management. Instead … Read more

In this blog, I’m diving into the essential data structures of Make.com: bundles, arrays, and collections. These concepts are crucial for creating more sophisticated automation scenarios, and I aim to make them practical and easy to understand. Overview of Data Structures Understanding data structures is fundamental in automation. Within Make.com, bundles, collections, and arrays serve … Read more