From Direct Classification to Agentic Routing: When to Use Local Models vs Azure

<p>How it works:</p> <p>Request arrives at an OpenAI-compatible endpoint<br /> Classifier detects task type + complexity<br /> Adaptive router picks the highest-scoring model for

<p>Everyone's building agents. Most are building them wrong. Not because they lack skill, but because they lack the right mental models. Before you write a line of code, you need

<p>57% of organizations estimate their data isn't AI-ready. General-purpose LLMs handle broad tasks well but hallucinate on specialized queries, miss domain jargon, and can't

<p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Write About Gemma 4</a></em></p> <h3> Why I Wrote This </h3>

<blockquote> <p>I created a new website: <a href="https://programmingcentral.vercel.app/books/typescript/" rel="noopener noreferrer">Free Access to the 8 Volumes on Typescript

<p><em>Disclosure: I maintain <a href="https://github.com/Fast-Editor/Lynkr" rel="noopener noreferrer">Lynkr</a>, an open-source router whose design decisions this post explains.

<p>In the first eight weeks of 2026, ten major open-weight LLM architectures were released.</p> <p>GLM-5 matched GPT-5.2 and Claude Opus 4.6 on benchmarks. Step 3.5 Flash

<h1> I Stopped Paying GPT-4 for Simple Queries </h1> <p>You know that feeling when you send "What's 2+2?" to GPT-4 and watch $0.03 vanish?</p> <p>I was burning through my OpenAI