Jonathan Pedoeem

124 posts

n8n alternatives for AI teams: build LLM workflows with prompt chaining

AI automation has become table stakes for engineering teams shipping production applications. What started as simple webhook triggers and API connectors has evolved into something far more demanding - teams now need orchestrate complex LLM calls, manage context windows, and chain prompts together in ways that traditional workflow tools never

What Is Agent Evaluation? A Practical Guide for AI Teams

Agent evaluation is the process of testing whether an AI agent reliably completes the task it was built to do across real inputs, edge cases, and new versions. For AI teams, agent evaluation is what turns “the demo worked” into “we can ship this with confidence.” It helps teams catch

The Antidote is Soul

How do you stand out in the age of agents? Every website has cool animations now. Every SaaS landing page has the same purple gradients, the same floating illustrations, the same polished corners. AI made perfection free. Every digital meal is a bowl. We live in the age of bowlslop.

We hosted the first Vibe Coding Olympics

Last week we hosted the first-ever Vibe Coding Olympics in the heart of New York City: a three-round, aggressively time-boxed hackathon where the only score that mattered was whether the result felt good. Prompting used to be the hard part. Now the hard part is deciding what to build. We

The emergence of Agent-First Software Design

There's a shift happening in how we build software. For decades, programming meant writing explicit if/else decision trees. Parse this response. Handle this edge case. Chain these steps together. But a new paradigm is emerging where the job of the software engineer isn't to write

Get Out of the Model's Way

When something doesn't work, the instinct is to add more. More guardrails. More tools. More structure. With LLMs, this instinct is often wrong. Paradoxically, AI engineers are building elaborate systems to constrain models that are now smarter than the constraints themselves. We're doing the model'

Watch my AI Engineering talk: How Claude Code Works

A few weeks ago, I gave a talk at the legendary the AI Engineering Summit. It’s titled: “How Claude Code Works” Claude Code completely changed how our engineering org functions. It really feels like a “moment” in this space. Importantly, it represents a new standard for building autonomous agents.

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.

The first platform built for prompt engineering

Start for free
Made in NYC 🗽
Usage
Company
Follow Us

© Copyright 2026 Magniv, Inc. All rights reserved.