Jared Zoneraich

Every agent should be a VM

There is no doubt that OpenAI's Codex CLI and Anthropic's Claude Code agents are order of magnitude shifts in what we can expect from coding agents. I recently did a deep-dive and wrote some articles on how Claude Code works and how OpenAI Codex works behind-the-scenes.

Bringing the Fundamentals to AI Engineering

AI engineering is a new discipline, but that doesn't mean we should throw out everything we know about engineering. The same fundamentals apply: de-scope ruthlessly, think in functions, and don't build what you don't need. Too many are skipping the fundamentals. Marketing Outpaced Reality

PromptLayer Bakery Demo

We recently built a demo website called Artificial Indulgence to showcase how PromptLayer works in a real-world application. It's a fake bakery site, but everything you see is powered by live prompts managed through PromptLayer. Let me walk you through how it all works. The Setup The bakery

Black Box Prompt Engineering: Why Not Knowing How It Works Is Actually the Point

I recently sat down with Stewart Alsop III on the Crazy Wisdom Podcast to talk about PromptLayer, AI engineering, and why the shift from deterministic to probabilistic systems is fundamentally changing how we build software. Most developers are still struggling to adapt... and I think it's because they&

Orchestrating Agents at Scale (OpenAI DevDay Talk)

Building dynamic UIs for complex agentic workflows used to take months of custom engineering—now it takes minutes. At OpenAI's DevDay 2025, the company unveiled AgentKit, a revolutionary toolkit that transforms how developers build, deploy, and optimize AI agents. This isn't just another incremental update; companies

How OpenAI's Deep Research Works

OpenAI's Deep Research can accomplish in 30 minutes what takes human researchers 6-8 hours—and it's powered by a specialized reasoning model that autonomously browses the web, reads dozens of sources, and produces fully cited reports. Deep Research represents a new category of agentic AI that

OpenAI RL Fine-Tuning: What you need to know and when you should use it

OpenAI dropped Reinforcement Fine-Tuning (RFT) in late 2024, bringing academic RL techniques to everyday developers—one AI researcher called it "RL for the masses." Unlike traditional fine-tuning where models memorize examples, RFT trains models through trial-and-error with rewards, creating a breakthrough moment for developers trying to squeeze better

What we can learn from Anthropic's System prompt updates

Claude's system prompts evolved through dozens of versions in 2024-2025. Each change reveals concrete lessons about production prompt engineering. Find all their system prompts here https://docs.claude.com/en/release-notes/system-prompts Let's read them and see what we can learn! This post extracts the patterns

Code World Model: First Reactions to Meta's Release

Imagine an AI that doesn't just autocomplete your code but actually understands what happens when code runs. That's the revolutionary promise of Code World Models (CWMs) — a new breed of AI that bridges the gap between pattern-matching and true computational reasoning. While traditional code AI learned

Every agent should be a VM

Bringing the Fundamentals to AI Engineering

PromptLayer Bakery Demo

Black Box Prompt Engineering: Why Not Knowing How It Works Is Actually the Point

Orchestrating Agents at Scale (OpenAI DevDay Talk)

How OpenAI's Deep Research Works

OpenAI RL Fine-Tuning: What you need to know and when you should use it

What we can learn from Anthropic's System prompt updates

Code World Model: First Reactions to Meta's Release

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