Insights on AI agents, workflow automation, and building real systems on consumer hardware.
Platforms like Lindy and Relevance AI work for generic tasks. But when your workflow is the competitive advantage, off-the-shelf agents fall short. Here's how to decide.
AI agents that run unsupervised can burn through your API budget in minutes. Here's how I built AgentGuard — a Python SDK that enforces hard cost limits at runtime — and why every autonomous agent needs one.
OpenClaw is the hottest open-source AI agent tool in 2026. But there's a gap between cool demo and production business automation. Here's when OpenClaw makes sense — and when you need something custom.
Single AI agents hit a ceiling fast. Multi-agent systems let specialized agents collaborate on complex workflows — here's how they work, when they make sense, and how to build one without a six-figure budget.
A transparent breakdown of what AI agent development actually costs — from simple automations to complex autonomous systems. Real numbers, not consulting-speak.
A practical comparison of the three main approaches to workflow automation, based on 20+ automations I've built for myself and clients.
My framework for identifying, scoping, and building automations without a single meeting. Used on every client engagement.
I built an autonomous research agent that proposes neural network changes, trains models, evaluates results, and iterates — all while I sleep. Here's what happened.
How AI agents are changing the way we build with Next.js — from agentic development to shipping 10x faster as a solo engineer.