Jared Zoneraich

Agent Client Protocol: The LSP for AI Coding Agents

What if switching between AI coding assistants was as easy as changing text editors? That's the promise of the Agent Client Protocol (ACP)—a new open standard that aims to do for AI agents what the Language Server Protocol did for programming languages. Just as LSP decoupled language

LLM Idioms

An LLM idiom is a pattern or format that models understand implicitly - things their neural nets have built logic and world models around, without needing explanation. These are the native languages of AI systems. To me, this is one of the most important concepts in prompt engineering. I don&

How I Automated Our Monthly Product Updates with Claude Code

From tedious manual work to comprehensive automated analysis in one afternoon 0:00 /2:41 1× If you're like me, you probably dread writing those monthly product update emails. You know the ones – where you have to comb through dozens (or hundreds) of commits across multiple repositories, trying

HumanLoop Shutdown: Guide to Migrating Your Prompts and Evals to PromptLayer

HumanLoop is shutting down on September 8, 2025. If you're among the many teams who relied on HumanLoop for prompt management, evaluations, and observability, you need to act fast. The good news? PromptLayer offers everything HumanLoop did—and more. What is PromptLayer? PromptLayer is a comprehensive prompt engineering

Why LLMs Get Distracted and How to Write Shorter Prompts

Context Rot: How modern LLMs quietly degrade with longer prompts — and what you can do about it Context Rot: What Every Developer Needs to Know About LLM Long-Context Performance How modern LLMs quietly degrade with longer prompts — and what you can do about it If you've been stuffing

The Agentic System Design Interview: How to evaluate AI Engineers

So you need a team to build an LLM multi-agent system... how do you interview candidates? I'll try to provide some ideas and strategies in this article. Firstly... What is an AI Engineer? AI engineers build the future. They create scalable AI systems and agents. They test, evaluate,

What is Context Engineering?

The term "prompt engineering" really exploded when ChatGPT launched in late 2022. It started as simple tricks to get better responses from AI. Add "please" and "thank you." Create elaborate role-playing scenarios. The typical optimization patterns we all tried. As I've written

Best Practices for Evaluating Back-and-Forth Conversational AI

Building conversational AI agents is hard. Ensuring they perform reliably across diverse scenarios is even harder. When your agent needs to handle multi-turn conversations, maintain context, and achieve specific goals, traditional single-prompt evaluation methods fall short. In this guide, I'll walk you through best practices for evaluating conversational

How a SaaS Unicorn Uses PromptLayer to Send Millions of Hyper-Personalized Emails at $0.002 Each

Most companies are drowning in data but sending generic outreach that makes you want to hit unsubscribe. This SaaS unicorn with a 100+ person sales team figured out how to use PromptLayer to auto-craft millions of fully-personalized outbound emails at roughly $0.002 each, while keeping both engineers and marketers

Agent Client Protocol: The LSP for AI Coding Agents

LLM Idioms

How I Automated Our Monthly Product Updates with Claude Code

HumanLoop Shutdown: Guide to Migrating Your Prompts and Evals to PromptLayer

Why LLMs Get Distracted and How to Write Shorter Prompts

The Agentic System Design Interview: How to evaluate AI Engineers

What is Context Engineering?

Best Practices for Evaluating Back-and-Forth Conversational AI

How a SaaS Unicorn Uses PromptLayer to Send Millions of Hyper-Personalized Emails at $0.002 Each

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