How to Build Your First AI AgentWithout Writing a Single Line of Code — AI Practical Guide: Day 1 of 10
Author(s): Faheem Munshi Originally published on Towards AI. How to Build Your First AI AgentWithout Writing a Single Line of Code — AI Practical Guide: Day 1 of 10 In 2026, the barrier to building an AI agent is not Python, JavaScript, …
I Tested Google’s Weird Discovery: “Thinking” Tokens Boost Accuracy Even When They Say Nothing Useful
Author(s): Adi Insights and Innovations Originally published on Towards AI. I Tested Google’s Weird Discovery: “Thinking” Tokens Boost Accuracy Even When They Say Nothing Useful A new Google Research paper found that reasoning models recall more facts correctly than instant models — …
Loop Engineering: Why Some Developers Stopped Prompting Their AI Agents
Author(s): Yashwant Deshmukh Originally published on Towards AI. Two of the top minds building today’s most advanced AI coding agents have quietly stopped doing one thing: Two of the top minds building today’s most advanced AI coding agents have quietly stopped doing …
AI Agent Production Debugging Guide for Real-Time Issue Resolution
Author(s): David Pradeep Originally published on Towards AI. AI Agent Production Debugging Guide for Real-Time Issue Resolution The pager goes off at 2 a.m., and suddenly you’re staring at a dashboard showing that your AI-powered customer recommendation engine has started returning empty …
88% of Enterprise AI Projects Never Reach Production. The Reason Isn’t the Model.
Author(s): Dr Swarneendu AI Originally published on Towards AI. The Reason Isn’t the Model. I debugged a production agentic recently. The rest of the article explains why enterprise agentic AI projects fail in production: the true cost scales quadratically with the number …
Agentic AI Workflow Patterns Every Builder Should Know (And How to Choose the Right One)
Author(s): Raj kumar Originally published on Towards AI. Most AI agent projects are using one workflow pattern for problems that need a different one. Here is how to fix that. A few months ago, a team shared a demo with me. They …
From Prompt Engineering to Fine-Tuning: Building Domain-Specific LLMs Step by Step
Author(s): Neha Khan • AI & Software Engineer Originally published on Towards AI. From Prompt Engineering to Fine-Tuning: Building Domain-Specific LLMs Step by Step In my previous article, we opened the hood of a transformer and traced what happens between pressing Enter …
What is Visual Prompting?
Author(s): ML Point Originally published on Towards AI. Introduction The widespread adoption of LLMs solidified prompting as the standard interface between users and foundation models. At first, prompts were strictly text-based instructions in natural language used to guide a model’s underlying reasoning. …
7 AI Agent Cost Optimization Strategies That Cut LLM Bills by Up to 90%
Author(s): Divy Yadav Originally published on Towards AI. Fixes that bring an AI agent’s bill down in production AI got 80% cheaper this year. Photo from AIAfter the lead, the article explains why cheaper token pricing doesn’t guarantee cheaper agent systems: agents …
Claude Cowork Has Five Moving Parts. Most People Only Use One.
Author(s): Neha Khan • AI & Software Engineer Originally published on Towards AI. Claude Cowork Has Five Moving Parts. Most People Only Use One. Cowork is the rest of the house: skills, connectors, plugins, projects, artifacts, and dispatch. Here’s the fast tour. …
🦀 Building AI Agents in Rust – part 9
Author(s): Enzo Lombardi Originally published on Towards AI. Sandboxed code execution The eight previous parts gave Eugene careful, narrow capabilities: reading files inside a canonicalised sandbox, calling a handful of well-typed skills, talking to other agents, persisting memory, going through an open …
Beyond Prompt Injection: When AI Agents Mistake Content for Trusted Data
Author(s): Eklavya Tyagi Originally published on Towards AI. Beyond Prompt Injection: When AI Agents Mistake Content for Trusted Data How product reviews, GitHub comments, and emails can impersonate the metadata AI agents rely on Explaining Agent Data Injection: When Ordinary Content Becomes …
Orbital Brain: Designing a Realistic LLM Architecture for Space Mission Operations
Author(s): CapeStart Originally published on Towards AI. Modern space missions generate a large amount of heterogeneous data, including orbital products, telemetry streams, fault logs, and operational context. This requires a robust LLM Architecture for Space Mission to interpret data under strict safety …
DevOps Is Not Just Tools: Learning the Tool vs Practising the Job
Author(s): Anooptej Thotapalli Originally published on Towards AI. Certifications and courses can open the door. Real DevOps growth begins when the tool is connected to practice, architecture, ownership and judgement. I keep speaking with many enthusiasts who want to explore DevOps, Cloud, …
Did OpenAI Just Lose the AI Wearables Race?
Author(s): Nehdiii Originally published on Towards AI. As AI wearables evolve, OpenAI’s product execution, leadership issues, and workforce disruption concerns are starting to damage trust. Hello AI World The article argues that OpenAI may be “losing” the AI wearables race as Apple’s …
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