This article builds on a previous tutorial by assuming that, when dealing with an agent, things will go wrong, and shows how to recover gracefully when they do.
Making developers awesome at machine learning
Making Developers Awesome at Machine Learning
Making developers awesome at machine learning
Making Developers Awesome at Machine Learning
In this article, you will learn how to transform a basic tool-calling script into a resilient agent that gracefully handles failures from misbehaving tools, malformed model outputs, and unavailable services.
How I Built a Local, Multimodal Gemma 4 Visual Regression & Patch Agent: Closed-Loop Validation, Canvas Pixel Diffing, and Reproducible Benchmarks
GBase: Building LLM Agents That Actually Learn from Their Mistakes
I Used Gemma 4 as a Private Log Analyst for App Crashes
Reviving My Gemma Agentic Framework: From Prototype to Polished Repo
The Dawn of Local Multi-Agent Architectures: Why Gemma 4 Changes Everything for Cloud Developers
Building a Unified Adaptive Learning Intelligence with Gemma 4, Flutter, and Multi-Model Orchestration
Gemma 4 GenAI Coach - GenAI Concepts Made Easy with an Interactive Playground
Your Laptop Just Got Smarter: A Complete Guide to Gemma 4's Four Models
Evaluation & Benchmark Results
I Gave Gemma 4 150 Tools on Windows. Here's What Actually Happened.
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 Google's Gemma 4 brings a...
In this article, you will learn what agentic programming is, how production-grade AI agents are built from the ground up, and…
Learn how to build a multi-agent system using OpenAI Agents SDK, GPT-5.4 mini, Olostep Web API, web scraping, specialist agents,…
A personal story about building an open-source framework for recursive self-improving agents — with real experimental results.
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 Most AI debugging workflows...
Introduction During my exploration of agentic AI systems, I started building a framework...
