Jared Zoneraich

Using AI as a Content Writer: How Not to Get Left Behind

There are two schools of thought emerging in the AI space right now. The first is pessimistic: "AI is coming, it's going to be our new God, everything's going to be gone, we're not going to be able to work anymore." The

Where to Build AI Agents: n8n vs. PromptLayer

When you're having trouble getting one prompt to work, try splitting it up into 2, 3, or 10 different prompt workflows. When prompts work together to solve a complex problem, that's an AI agent. What Are AI Agents and What Are They Used For AI agents

Building Better AI Systems: Lessons from Anthropic's AI Engineer Talk

"Evals are your company's intellectual property" - Alexander Bricken at AI Engineer Summit I recently attended Anthropic's talk at AI Engineer Summit, and it offered fascinating insights into how one of the leading AI companies thinks about building robust AI systems. Here are my

Lessons from OpenAI's Model Spec

OpenAI's Model Spec tells us a lot about how the company thinks about prompt engineering. Let's explore it and see how to use it in your daily prompting. The Three-Layer Approach The Model Spec uses three layers: objectives, rules, and defaults. This structure makes prompts more

The Death of Prompt Engineering Has Been Greatly Exaggerated

As AI models become increasingly sophisticated, there's a growing narrative that prompt engineering – the art and science of instructing large language models – will soon become obsolete. As models get better at understanding natural language, will the need for carefully crafted prompts will disappear? The death of prompt engineering

PromptLayer Announces our $4.8M Seed Round

Software development is being fundamentally reshaped by AI, but the biggest challenge isn't technical expertise – it's domain knowledge. The next generation of AI products will be built by doctors, lawyers, and educators, not just machine learning engineers. We're excited to announce that PromptLayer has

The Future of AI is for Subject Matter Experts, Not ML Engineers

Here's my take on where AI is headed and why subject matter experts, not ML engineers, will be the ones building the next generation of AI applications. Most of this comes from the podcast above. The Big Picture One of the main predictions I base a lot of

What does Deepseek mean for Open Source Models and American innovation?

My technically curious dad just asked if Deepseek is a game changer. It's a fair question that gets at the heart of what's happening in AI right now. What's Really Going On Deepseek is good. They've built the best open-source model out

Is "Reasoning" Just Another API Call?

What we can learn from o1 models and "Thinking Claude" The AI landscape has shifted dramatically. We now have access to both "smart" and "dumb" models, where smart model families o1 take time to think and reason before answering. But here's where

Using AI as a Content Writer: How Not to Get Left Behind

Where to Build AI Agents: n8n vs. PromptLayer

Building Better AI Systems: Lessons from Anthropic's AI Engineer Talk

Lessons from OpenAI's Model Spec

The Death of Prompt Engineering Has Been Greatly Exaggerated

PromptLayer Announces our $4.8M Seed Round

The Future of AI is for Subject Matter Experts, Not ML Engineers

What does Deepseek mean for Open Source Models and American innovation?

Is "Reasoning" Just Another API Call?

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