Part 4: Data Manipulation in Data Cleaning
Author(s): Raj kumar Originally published on Towards AI. There is an assumption many teams carry without fully examining it. Data cleaning feels responsible.It feels corrective.It feels like a necessary step to improve data quality before analysis or machine learning begins. But data …
🤖 AI Agents in 2026: From Chatbots to Systems That Actually Do Things
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🤖 AI Agents in 2026: From Chatbots to Systems That Actually Do Things The Problem Nobody Talks About You’ve probably used an AI chatbot and felt the excitement crash into disappointment. You type: “Refactor this …
My First Month With OpenClaw: The Setup, Mistakes, and Fixes No One Tells You About
Author(s): Kory Becker Originally published on Towards AI. Hard-earned lessons on hardware choices, memory management, and staying safe with remote LLMs. I’ve been running OpenClaw on an old Windows desktop PC nonstop for a full month. Photo by: MAI-Image-1.The article discusses the …
Building a Deal Desk Intelligence Agent with LangChain and OpenAI
Author(s): Krishnan Srinivasan Originally published on Towards AI. Most enterprise AI journeys begin with prompts. Teams use language models to summarize documents, classify tickets, or generate insights from unstructured text. These are valuable capabilities and often the first step in adopting AI …
Your Terminal Knows When to Pray: A Ramadan Gift for Muslim Developers
Author(s): Hafiq Iqmal Originally published on Towards AI. How I added Islamic prayer times directly into my Claude Code status line Ramadan Mubarak. This one’s for every developer who has ever missed Maghrib because they were 300 lines deep in a bug. …
Beyond the Transformer Paradigm
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The release of Google’s TITANS architecture in late 2024 marks a theoretical inflection point in how we conceptualize machine memory. This isn’t merely another incremental improvement in long-context processing — it’s a fundamental rethinking …
Migrating Merative Cúram CER Eligibility Rules to Agentic AI: A Production Architecture Guide
Author(s): Pankaj Kumar Originally published on Towards AI. How we turned 20 years of government welfare rules into an AI-native, self-healing eligibility engine — with working code This project is built entirely from publicly available information — official documentation, auditor reports, news …
I Built an Ontology Firewall for Microsoft Copilot in 48 Hours — Here’s the Production Code
Author(s): Pankaj Kumar Originally published on Towards AI. Most Copilot deployments are one bad agent action away from a serious production failure. This is the architecture that prevents it. 📌 GitHub Repository: cloudbadal007/copilot-ontology-firewall The Copilot had read a SharePoint document titled “Pre-Approved …
Agent Observability and Evaluation: A 2026 Developer’s Guide to Building Reliable AI Agents
Author(s): Divy Yadav Originally published on Towards AI. Why building agents without this layer is like driving blind. And how to fix it. You know exactly where to look when traditional software malfunctions. line number, stack trace, and error log. You’ll find …
Exploring Urban Street Networks Through Graph Metrics
Author(s): Ahmed Boulahia Originally published on Towards AI. Why is Tunis traffic so bad? Urban Planning Analysis of Tunis Traffic Congestion, A Geospatial Study using Python OSMnx and OpenStreetMap to Analyze Street Connectivity, Road Network Entropy, and Infrastructure Bottlenecks. If you live …
Retrieval-Augmented Forecasting of Time-series
Author(s): DrSwarnenduAI Originally published on Towards AI. RAFT proves that time series forecasting doesn’t need bigger weights — it needs a better library card Here’s the thing about The Cheesecake Factory menu: it’s 21 pages long. New Frontier in Time seriesThe article …
The OpenClaw Mess: Why Your Autonomous Agent is a Security Suicide Note.
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When 200,000 GitHub stars meet 30,000 exposed instances, it’s time to stop the madness. These 6 Alternatives Might Actually Be Better for You. OpenClaw is the 800-pound gorilla of self-hosted AI assistants …
Agent Control Patterns — Part 4: ReAct — Thinking While Acting
Author(s): Vahe Sahakyan Originally published on Towards AI. So far in this series, we designed systems with predefined structure. We defined the execution flow. We separated reasoning from revision. We controlled when research happens. Even when loops were introduced, the workflow remained …
Agent Control Patterns — Part 3: Reflexion — When Review Triggers Research
Author(s): Vahe Sahakyan Originally published on Towards AI. A model can review its own answer and still return incorrect information. It may recognize uncertainty, improve its wording, and clarify its reasoning. But if the missing piece is factual, reviewing the answer again …
Agent Control Patterns — Part 2: Reflection — A Simple Way to Improve Answer Quality
Author(s): Vahe Sahakyan Originally published on Towards AI. An agent can execute a workflow correctly and still produce a weak answer. It may follow the graph, respect routing rules, and stop exactly where it should — yet return a response that lacks …
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