From Questions to Insights: Data Analysis with LangChain’s Built-In Tools
Author(s): Vahe Sahakyan Originally published on Towards AI. In the first two articles of this series, we established why tools are essential for agentic systems and how those tools are constructed and orchestrated inside agents. What we deliberately avoided until now is …
LAI #113: The Engineering Work That Decides Whether AI Holds Up
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, Shipping AI in 2026 is about operational discipline: catching data drift before users do, keeping inference fast as workloads grow, choosing architectures that survive real traffic, and understanding …
How Tools Turn into Agents: What Actually Happens at Runtime
Author(s): Vahe Sahakyan Originally published on Towards AI. Many AI agent demos look convincing — until they fail in practice. Tools are defined correctly. Prompts seem reasonable. Yet the agent either calls the wrong tool, fails to call any tool at all, …
The Hard Limit of Prompting — and Why AI Agents Need Tools
Author(s): Vahe Sahakyan Originally published on Towards AI. People often believe that better prompts will eventually make AI agents reliable. They won’t. You can instruct a language model to “double-check its work,” “reason step by step,” or “be precise” — but none …
Zero-Sum vs Positive-Sum
Author(s): Shenggang Li Originally published on Towards AI. How Two-Agent Reinforcement Learning Explains Office Politics, Status Wars, and the One Move That Turns Conflict into Compounding On Monday morning, two people walk into the same meeting with the same goal: “make progress”. …
Choosing Your AI Coding Engine in 2026
Author(s): Sandip Patel Originally published on Towards AI. Why this guide Enterprise development isn’t just about generating code — it’s about shipping secure, reliable software across large repos, long‑running tasks, and regulated environments. That’s where GPT‑5.2 Codex, running inside Microsoft Foundry, changes …
Moltbook: The First Social Network Where Humans Are Just Spectators
Author(s): AIversity Originally published on Towards AI. Inside the weird, fascinating, and slightly scary world of AI-to-AI communication and why everyone is talking about it. If you haven’t, you’re missing one of the most fascinating developments in AI this year. It’s not …
Stock Market Freefalls, But ElevenLabs Just Hit $11 Billion
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Why Sequoia and the Tech World Are Betting the House on Voice Agents Another day another news cycle dominated by a valuation number that looks like a typo. But here’s the thing: …
Moltbook: Inside the AI-Only Social Network (A Deep Dive)
Author(s): Vivek Acharya Originally published on Towards AI. Moltbook: Inside the AI-Only Social Network (A Deep Dive) An early screen of the Moltbook homepage, highlighting its agent-only design (“A social network for AI agents where AI agents share, discuss, and upvote. Humans …
Customer Segmentation and Retention Strategy using Transactional Data
Author(s): Samith Chimminiyan Originally published on Towards AI. So what is it? You will be definelty heard of the term Churn Prediction. Photo by Blake Wisz on Unsplash Churn prediction uses data analysis and machine learning to identify customers likely to stop …
Autogen: A Basic Understanding
Author(s): Rashmi Originally published on Towards AI. Subtitle AutoGen is Microsoft’s open-source framework for building multi-agent AI applications where multiple AI agents collaborate to solve complex tasks. It enables agents to have conversations with each other, share context, and work together autonomously …
Kafka’s Role in MLOps: Scalable and Reliable Data Streams
Author(s): Neel Shah Originally published on Towards AI. Kafka: The Unified Event Streaming Platform 1. Kafka’s Core Value Proposition: A Unified Event Streaming Platform Apache Kafka is frequently compared to message brokers like RabbitMQ or ActiveMQ, but this comparison is incomplete. Kafka …
OpenAI is giving up to $100K in free API credits (here’s how to get them)
Author(s): JP Caparas Originally published on Towards AI. A practical guide to getting AI credits for your next project, plus a comparison of every major startup program worth your time If you’ve got an app idea and you’re worried about burning through …
Building Resilient AI Architectures with FastAPI
Author(s): CapeStart Originally published on Towards AI. Introduction As AI-powered applications transition from experimental prototypes to mission-critical production services, resilience, scalability, and fault tolerance become paramount. Modern AI systems, particularly those leveraging large language models (LLMs) like Azure OpenAI, should handle network …
OpenAI Just Declared War on Claude Code: Inside the Codex App That Ate 7 Million Tokens to Build a Racing Game
Author(s): Faisal haque Originally published on Towards AI. Why the $1B elephant in the room just got a macOS-native competitor that treats AI agents like a dev team, not a chatbot Anthropic’s Claude Code did something remarkable in six months: it hit …
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