The gap between basic and expert prompt engineering is smaller than you think. While most prompt engineers plateau after mastering basic techniques like "be specific" and "provide examples," the real breakthroughs come from understanding the nuanced capabilities of each model family. After extensive research into official
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&
A clever trick has circulated on Twitter for prompt engineering called "JSON Prompting". Instead of feeding in natural language text blobs to LLMs and hoping they understand it, this strategy calls to send your query as a structured JSON. For example... rather than "Summarize the customer feedback
Grok 4, launched on July 9 2025 by Elon Musk's xAI, claims to be "the world's most intelligent model." Grok 4 is a major leap in AI evolution, boasting multi-agent collaboration, real-time tool use, and PhD-level reasoning across STEM and beyond. Businesses and researchers
Grok 4 (by xAI) and Claude Opus 4 (from Anthropic) are two of the most advanced language models available today. Both launched in 2025, they serve research, enterprise, and creative needs—but take very different approaches. Here's how to pick the right AI tool for everything from academic
AI coding assistants have revolutionized how developers write and maintain code. Two standout tools take completely different approaches: Claude Code operates as an autonomous terminal agent that can handle complex, multi-step tasks independently, while Cursor enhances the familiar VS Code experience with real-time AI assistance. Understanding their core differences will
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 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
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
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,
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
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
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
A growth marketing startup specializing in e-commerce faced a significant challenge: personalizing cold outreach at massive scale—covering over 30,000 domains and 90,000 contacts—without excessive copywriting costs. The challenge was compounded by fragmented data sources—including website scraping data, SMS messaging frequency, tech stack details, and funding
The real innovation that separates post-ChatGPT UX from pre-ChatGPT UX isn't about chatbots. It's not about intelligence or even about AI thinking through and reasoning. It's about assumptions. In traditional software, users must explicitly provide every piece of information the system needs, but AI-powered
For two years, Midpage has used PromptLayer to transform how they build legal AI, putting lawyers next to engineers to own prompt quality. Their approach has scaled from manual tracking in Notion to automated evaluation pipelines that catch regressions before they reach users. * 80 production prompts across 10 AI features
NoRedInk has been on a mission to unlock every writer's potential since 2012. Today, their adaptive writing platform serves 60% of U.S. school districts and millions of students worldwide. But when they decided to build an AI grading assistant, they faced a challenge that many EdTech companies
Artificial intelligence is rapidly transforming software development, influencing how code is written, tested, and deployed. Developers searching for the top AI dev tools in 2025 will find a diverse set of solutions designed to simplify workflows, boost creativity, and solve complex problems. This article explores the leading options, comparing their
Teams across industries—from marketing to finance—seek new ways to leverage AI, and no code LLM AI platforms eliminate technical roadblocks. These no code solutions empower teams to create LLM-driven applications in minutes, no developer required. They let non-technical users design, test, and launch powerful language-model apps with visual
Developers today have access to powerful frameworks that make building, managing, and connecting AI agents more accessible than ever. This article offers a comprehensive look at the differences between OpenAI Agents SDK and Anthropic’s Model Context Protocol (MCP), helping you decide which toolkit best fits your needs. OpenAI Agents
Setting up a Claude MCP (Model Context Protocol) server is a way to build secure, scalable AI integrations. This guide takes you from initial planning to live troubleshooting, providing actionable best practices and clear definitions along the way. You’ll find every major step explained simply. Let’s get started.
Selecting tools for AI application development is a consequential decision. The infrastructure you choose directly influences product quality, iteration speed, and operational reliability. Braintrust and LangSmith address similar needs—yet their approaches, capabilities, and intended audiences diverge in meaningful ways. Below, we examine their differences with clarity and precision. Curious
Building reliable AI agents is difficult because minor errors multiply quickly when prompts are connected. An AI agent is a software system that autonomously performs tasks on behalf of a user or another system, often using reasoning, planning, memory, and available tools to achieve goals with minimal human intervention. The
It is a complex task to build, refine, and manage complex AI systems at scale. As LLM applications mature from early experiments to business-critical infrastructure, the selection of engineering platforms becomes pivotal—defining workflows, influencing innovation, and shaping cost and reliability. This is a direct, clear comparison of three top