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 …
Link Decay Prediction in Affiliate Marketing: Turning “Alive” URLs into a Time Series Monitoring Problem
Author(s): Hernan M Originally published on Towards AI. Key Takeaways Affiliate link health isn’t binary, even if most dashboards force it into green/red. A link can be “up” and still be quietly losing a third of your traffic. The strongest signal I’ve …
Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this
Author(s): Youssef Hosni Originally published on Towards AI. Do AGENTS.md/CLAUDE.md Files Help Coding Agents? A New Paper Challenges this Over the past year, adding an AGENTS.md or CLAUDE.md file to your coding repository has quietly become standard practice when using the coding …
TAI #194: AI Goes Macro; Job Loss Fears, Military Usage, OpenAI $110B Raise
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week brought a series of developments that signal AI is quickly becoming more than just a technology story: AI’s revenue, its politics, and …
OpenClaw Won’t Bite, A Zero-to-Hero Guide for People Who Hate Terminal
Author(s): Kamrun Nahar Originally published on Towards AI. What Even Is OpenClaw, Though? Let me tell it straight. OpenClaw is an open-source, self-hosted AI agent built by Peter Steinberger. It started life as “Clawdbot” in November 2025, got renamed to “Moltbot” after …
Runtime Reinforcement: Preventing “Instruction Decay” in Long Context Windows
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Floating Brain” Problem In our previous articles, we discussed how to give the agent knowledge (Graph), sight (Shape), and empathy (User Context). But even a perfect agent suffers from …
Anthropic Says Coding Jobs Are at Risk. OpenAI Says It’s the Best Time Ever. Who Actually Needs to Worry.
Author(s): Rekha Originally published on Towards AI. Two AI leaders. Two opposite signals. One career move you can’t afford to misread in 2026. If you’re a software engineer in 2026, you woke up this week to two completely contradictory messages from the …
When AI Finally Learned That “Dog” and 🐕 Are the Same Thing, aka CLIP
Author(s): DrSwarnenduAI Originally published on Towards AI. How CLIP used 400 million internet image-caption pairs to solve the 60-year problem of connecting vision and language by making them occupy the same 512-dimensional manifold. Welcome back. I believe in coordinates and manifolds. If …
Essential Python Libraries for Data Science
Author(s): Raj kumar Originally published on Towards AI. If you look closely at real-world tabular machine learning systems, a clear pattern emerges. Across industries, datasets, and problem domains, the same class of models keeps appearing in production environments. It is not deep …
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