Posts

How to Stop Claude From Constantly Trying to Be Your Therapist You ask Claude to review your Python script. It tells you the code looks great and then adds, “I can hear some frustration in your message—debugging can feel really overwhelming. You’re doing great.” You ask it to critique your business plan. It opens with three sentences acknowledging how exciting and brave it is that you’re building something. You ask it to just answer the question, and it agrees, then empathizes some more. ...

Disclosure: This article includes links to third-party tools including Cursor. AgentPlix may earn a commission from affiliate relationships. All recommendations reflect independent testing. Local LLM on Mac: The Complete Beginner’s Guide for Apple Silicon Running a large language model entirely on your own Mac, with no internet connection, no API bills, and no data leaving your machine, used to be the kind of thing only ML researchers attempted. Then Apple shipped M1. Today, any Mac with Apple Silicon can run genuinely useful AI models locally, and the setup takes about ten minutes. This guide is your complete beginner’s roadmap to getting there. ...

Is a High-End Private Local LLM Setup Actually Worth It in 2026? Running a high-end private local LLM used to be a research lab privilege. Today, you can build a machine that runs 70-billion-parameter models in your home office, completely air-gapped from the internet, for about the price of a used car. The question is whether that’s a smart investment or an expensive hobby project dressed up as productivity infrastructure. ...

The Best Free AI Tools in 2026: Tested, Ranked, and Ready to Use The best free AI tools in 2026 are not watered-down previews. They are genuinely capable products that can replace software you are currently paying for. The free tier wars between AI companies have quietly handed developers, writers, marketers, and researchers a toolkit worth thousands of dollars per year at zero cost. The problem is signal-to-noise: for every tool that actually works, there are ten that waste your time. ...

Claude Token Counter Now Lets You Compare Models Before You Pay a Cent If you’ve ever run a batch job through Claude and opened your Anthropic invoice with mild dread, you know the feeling: context is expensive, and it’s hard to predict exactly how expensive until the bill arrives. Claude’s token counting API has been around for a while, but a recent update added something genuinely useful for developers building production systems: cross-model comparison in a single call. You can now see exactly how many tokens a given prompt costs against Haiku, Sonnet, and Opus before committing to any of them. No inference. No charge. Just the count. ...

Disclosure: This article contains Amazon affiliate links. As an Amazon Associate, AgentPlix earns from qualifying purchases. Links to Cursor may also be affiliated. All hardware recommendations reflect independent research and hands-on testing. Local LLM Pair Programming: GPU Rig vs. MacBook Pro (Full Setup Guide) Running a local LLM for coding is no longer a hobbyist experiment. It is a legitimate workflow used by developers who want zero-latency autocomplete, private codebases, and full control over the model. The only real question is: what hardware do you actually need? This guide walks through a complete local setup for coding on both a dedicated GPU rig and a MacBook Pro, then gives you a straight answer on which one makes more sense for your situation. ...

Disclosure: Some links in this article, including links to Cursor and OpenAI, may be affiliated. AgentPlix may earn a commission when you sign up via these links. All opinions are based on hands-on use. The Best LLM Workflow for Planning vs. Execution (Your 2026 Guide) Most developers use one LLM for everything: open a chat window, describe what they want, and hope the output is close enough. That works for simple tasks. For anything non-trivial, it’s the fastest path to mediocre results and wasted tokens. The best LLM workflow separates planning from execution entirely, and the difference in output quality is not subtle. ...

ChatGPT’s Newest Image Model vs Gemini NB2: We Tested Both So You Don’t Have To The AI image generation war just got interesting again. OpenAI’s newest image model, built natively into GPT-4o, landed earlier this year with capabilities that left the internet genuinely stunned: readable text inside images, multi-step conversational editing, and prompt accuracy that earlier diffusion models could never reliably pull off. Then Google quietly pushed Gemini NB2 (the latest Imagen 3-powered generation layer in Gemini) with sharper photorealism and dramatically improved coherence on complex scenes. ...

The Beginner’s Guide to Claude: 10 Steps for Anyone Coming from ChatGPT If you have only ever used ChatGPT, switching to Claude can feel like moving to a new city where everything is just slightly different. The streets look familiar, the coffee shops serve the same thing, but your usual shortcuts do not work and you keep ending up in the wrong place. This beginner guide is for anyone making that move. No terminal. No API keys. No technical jargon. Just ten plain-English steps that will take you from confused newcomer to confident Claude user in one sitting. ...

How to Use ChatGPT Effectively: A Practical Guide for Getting Real Results Most people are using ChatGPT wrong. They type a vague question, get a mediocre answer, shrug, and move on. If that sounds familiar, you’re leaving most of the tool’s value on the table. Learning how to use ChatGPT effectively isn’t about memorizing tricks — it’s about understanding how the model thinks so you can communicate with it precisely. ...