#ai-workflow articles

MAMomin Azizreclaimllm.hashnode.dev1d ago · 3 min read

Enterprise AI Observability & Optimization (Part 2): Analyzing Usage, Attribution & Workflow Friction

Welcome to Part 2 of the Enterprise AI Observability and Optimization series. In Part 1, we covered how to establish a universal capture layer across all developer AI interactions with zero code modif

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AMAlex Mercercreativeworkflowlab.hashnode.devAug 20 · 6 min read

One Product Photo Can Feed an Entire Campaign. That Is Also the Risk.

A bottle label moves a few millimetres. A shoe gains an extra seam. A jar that should be translucent becomes opaque. None of these errors necessarily makes an AI image look bad. That is what makes the

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JVJeel Vankhedejeelvankhede.hashnode.devAug 11 · 8 min read

I Built This to Fix One Task. It Turned Into Something You Can Run.

There are two ways to work with an AI agent and I had tried both. Write the thing yourself and hand over only the tedious parts. Or hand over the whole task and audit whatever comes back at the end. T

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APAnkita Patilblog.ankitapatil.devJul 16 · 5 min read

Building a Production-Style AI System: Designing VibeFit from Image Upload to Intelligent Recommendations

Live Demo → Experience the application. Architecture Walkthrough → Understand how the system works. Source Code → Explore the implementation. Project Deep Dive → Read the complete architecture and

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DSDarsh Shahfreecodecamp.orgJul 14 · 13 min read

How to Build Your First Multi-Agent AI System in Python and LangGraph

In this tutorial, I'll show you how to build a multi-agent AI system in Python with no orchestration framework. We'll also implement this in LangGraph with nodes, edges, and shared state. The point of

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LWLearn with HJhardeepjethwani.hashnode.devJul 11 · 6 min read

Human-in-the-Loop AI: The Boring Pattern That Saves Products

🚀 Human-in-the-Loop AI: The Boring Pattern That Saves Products 👋 Welcome to Day 74 of 90 Days of AI. 🎯 Today we are tackling Human-in-the-Loop AI: The Boring Pattern That Saves Products. The missi

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HHesperapi-gateway-nuggets.hashnode.devJun 30 · 3 min read

Is Your AI Token Secretly "Sneaking Away"? 4 Tried-and-True Money-Saving Tips

Let’s be real for a second 😅: most teams’ AI bills aren’t expensive because the models are too costly—they’re expensive because we use them like total spendthrifts 💸. After wrestling with enterprise

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CGCésar G. Guzmán Florescodeovercoffe.hashnode.devJun 24 · 3 min read

CLAUDE.md, Skills, Hooks, Subagents and MCP — I Finally Get the Difference

A few days ago I finished Anthropic's Introduction to Agent Skills course, and honestly one section hit me harder than I expected. Not because it was complex, but because I had been doing it wrong — o

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JVJeel Vankhedejeelvankhede.hashnode.devJun 19 · 6 min read

An AI Agent Is a Hammer. The Think Phase Is Where You Aim It.

The agent runs. The code appears. The feature is not what I wanted. Not because the model was wrong. Because I was vague. Speed Was Never the Moat Before AI could write a single line of code, the best

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TGTemur Garayevtemur-blog.hashnode.devJun 12 · 6 min read

Real engineering is not about reinventing every solution. It is about knowing what to reuse, what to adapt, and what to leave behind

TL;DR: Reusing proven code, UI patterns, design systems, and architecture ideas does not make you lazy. The real skill is understanding what already works, adapting it properly, and knowing when custo

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