SAP’s Big Push for Tabular AI. What It Means For Enterprises
Author(s): Vinayak Gole Originally published on Towards AI. While the industry chases chatbots, enterprise giants are realizing real business value lies in a a different kind of AI Model In the rapidly evolving landscape of enterprise technology, Generative AI has captured the …
LLM Reasoning Budget: How Developers Should Spend Thinking Tokens Without Wasting Latency
Author(s): Anna Jey Originally published on Towards AI. LLM Reasoning Budget A reasoning model can feel brilliant on one task and painfully slow on the next. The model did not suddenly get worse. You probably gave the same thinking budget to a …
Building Your First AI Agent with LangChain (Part 1: The Theory)
Author(s): A.Venkatesh Originally published on Towards AI. 1. Traditional LLMs vs. Autonomous Agents Most AI tutorials teach you how to build basic chatbots. This guide covers how to build an AI Agent — a system that reasons, chooses tools, and takes action …
How to Automate YourContent CalendarWith AI— AI Practical Guide: Day 4 of 10
Author(s): Faheem Munshi Originally published on Towards AI. How to Automate YourContent CalendarWith AI— AI Practical Guide: Day 4 of 10 This isn’t about grinding out content. It’s about designing a system that generates content as a natural by-product of thinking you’re …
Why We Can’t Have a Reliable AI Text Detector
Author(s): Hamza Boulahia Originally published on Towards AI. Inside the classifiers, watermarks, and theorems behind AI detection, and why none of them can reliably catch AI-generated text. From the moment AI became good enough to write a whole essay or an article …
Why Operational AI Keeps Failing (And It Has Nothing To Do With Your Model)
Author(s): Alexandru Rotari Originally published on Towards AI. A practical guide for the people actually trying to make AI work inside real operations At some point you will produce LLM output that looks perfect. You will feel good about it. Then you …
The Twelve-Factor App: 12 Rules Your App Is Probably Breaking Right Now
Author(s): Rohan Mistry Originally published on Towards AI. Written in 2011. Older than Docker. Still the checklist every cloud-native app is quietly judged against. In 2011, Adam Wiggins, co-founder of Heroku, noticed something while running thousands of apps on his platform. After …
Anthropic’s Claude Certified Architect Exam (CCA-F): Everything Important Was in the Middle, So Claude Forgot It. VI
Author(s): Rick Hightower Originally published on Towards AI. CCA-F Part 6: The smallest CCA-F domain by weight is the one that passers say surprised them most. Context management is a design problem, not a config knob, and how to manage what you …
How AI Engineering Keeps Renaming Itself; The Evolution of AI Engineering, From Prompt to Graph
Author(s): Jahid Originally published on Towards AI. How AI Engineering Keeps Renaming Itself; The Evolution of AI Engineering, From Prompt to Graph Midway through 2026, a developer posted a twelve-word question. Are we still talking loops, or did we shift to graphs …
Loop Engineering — Simplified.
Author(s): Darshandagaa Originally published on Towards AI. loop engineering “My job is to write loops.” That’s Boris Cherny, who leads Claude Code at Anthropic. He’s said he stopped prompting Claude directly and now spends his time designing the loops that prompt it …
Building Safe AI Agents for DevOps: Governance First, Automation Second
Author(s): Shrinidhi Atmakur Originally published on Towards AI. Building Safe AI Agents for DevOps: Governance First, Automation Second Image credit: Generative AI Introduction AI agents are rapidly becoming part of the modern DevOps toolkit. Imagine asking an AI assistant:“Deploy Orders Service version …
Cheap, Fast, and Good: How Chinese AI Models Broke the Pick-Two Rule
Author(s): Saurabh Singh Originally published on Towards AI. Cheap, Fast, and Good: How Chinese AI Models Broke the Pick-Two Rule The project-management triangle, updated for 2026. Every engineer knows the triangle. Cheap, fast, good — pick two. It’s held for decades across …
Mem0 vs Zep vs Letta: A Folder of Text Files Shouldn’t Beat the 61K-Star Memory Layer
Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Mem0 vs Zep vs Letta: A Folder of Text Files Shouldn't Beat the 61K-Star Memory Layer The most-installed agent memory layer on GitHub has passed 61K stars. Letta beat its …
Why AI Sometimes Sounds So Confidently Wrong (And How to Fix It)
Author(s): Satyam Sahu Originally published on Towards AI. A peek under the hood at next-token prediction, RLHF, and the practical prompt engineering tricks to bridge the confidence gap We’ve all got that one friend in our group. Image created using AI | …
When the Law Changes, Your Agreements Should Too
Author(s): Rick Hightower Originally published on Towards AI. Building a human-in-the-loop regulatory-change agent on the Docusign MCP Server, with Claude Cowork and no code In this article we connect the Docusign MCP Server to Claude Cowork, load real agreements, build the workflow …
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