Agent building
Agent building on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on agent building in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around agent building, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
How to Build CLI Agents with Python & Ollama
Unlock the power of local AI with this practical guide to building Command Line Interface (CLI) agents using Python and Ollama. This tutorial empowers you to create custom agents from scratch, entirely free of charge. Explore the fundamentals of agent design and implementation, leveraging the efficiency of local LLMs. For a deeper dive into the engineering layers underpinning these systems, see our article, "Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On." Discover a future-focused approach to data interaction and automation.
I Replaced a 15-Minute Booking Process with a LangGraph AI Agent
Tired of cumbersome processes? In a recent Towards Data Science post, we detail how a 15-minute booking process was streamlined using a LangGraph AI agent. This practical guide walks you through building, running, and monitoring a stateful customer support agent with Python, LangGraph, and Langfuse. Discover a powerful alternative to traditional workflows and unlock new levels of efficiency.