Using Classical ML to Empower AI Agents
I’m doing these days at work, I feel like they are sometimes surprised when I say “building CatBoost classifiers” or “fitting isolation forests”. But this is in fact what I…
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5 FREE Resources on Agentic AI
# Introduction Everyone is building agents. Far fewer people can explain, precisely, why their agent loops forever, ignores a tool it was given, or confidently reports success on a task…
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Pipe and Tubes Quality Inspection with RF-DETR
You can catch tube and pipe defects automatically: train Roboflow’s RF-DETR on labeled pipe imagery, and it will flag holes, cracks, and ruptures. Connect it to a Roboflow Workflow and…
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How to Work Effectively with GPT-5.6
, I will give my first impressions of the newest OpenAI model, GPT-5.6. The model was released a few days ago, and I’ve gotten the chance to test it extensively…
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Git Worktrees for AI Development
# Introduction You are running Claude Code on a feature branch. The agent has been working for twenty minutes, it has read your codebase, built up context, and started making…
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Agentic AI Security: Defending Against Prompt Injection and Tool Misuse
In this article, you will learn what prompt injection and tool misuse are in the context of agentic AI systems, and which defense strategies experts recommend to mitigate them. Topics…
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Retail Object Detection with Roboflow Computer Vision
This guide builds an automated beverage shelf-monitoring system in Roboflow Workflows: an RF-DETR model detects and counts Coca-Cola, Fanta, and Sprite bottles at the shelf front, a Custom Python block…
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Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop
The Scope: This isn’t a benchmark pitting agent frameworks against each other, nor does it claim this controller is “smarter.” It claims something narrower and much more defensible: that failure…
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How to Connect MCP Servers to Claude (Desktop & Code)
Connecting MCP servers to Claude allows it to work with external tools, files, databases, repositories, and other systems instead of operating only within the chat window. The setup differs slightly…
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1,000 Models on a Shared GPU Fleet
The Challenge: Heavy Payloads, Unpredictable Compute, and Thousands of Models To an external client, our serverless inference API looks like a standard web service: you POST an image and get back a…
