Writing · Tag
15 posts tagged #Automation.
Every dashboard was green and zero blog posts went live. Exit codes tell you the job ran, not that the outcome happened. Here is how to check the real artifact instead.
A new open protocol lets AI agents register users with your app, no signup form. Here is how it works and what breaks.
Claude Opus 4.8 dropped May 28, 2026. Same price as 4.7, higher SWE-bench scores, and a model that flags its own mistakes. Here is what actually changed if you build AI agents.
Amidst the big tech AI boom and new policy discussions, discover why building ethical, autonomous AI agents on consumer hardware is critical. Explore practical engineering insights and Python tips for true local control.
The AI world is buzzing, but recent events highlight the critical need for secure and efficient AI agents. Discover practical engineering steps for building reliable automation directly on your hardware.
As the AI world heats up, learn how to build AI agents that prioritize user control and transparency. Discover practical strategies for creating observable and accountable automation on your own hardware.
In the new era of AI, simply building smart agents isn't enough. Discover how to architect automated systems for true accountability, user trust, and ethical operation, empowering local AI developers.
Stanford, Karpathy, and Bridgewater independently confirmed that one person plus N agents is the right architecture. I have been running it for a holding company. Here is what it looks like.
OpenClaw promises production-ready agents out of the box. We ran 3 real workloads — RAG, tool-calling, multi-step chains. Here's where it beats LangGraph and where it falls over. (2026)
Off-the-shelf AI agents fail when your workflow is the edge. Here's when custom development actually pays off for small business.
Most businesses do not need multi-agent AI yet — but some do. 5 questions to find out which camp you are in, with real cost and complexity benchmarks.
We surveyed 40+ AI agent builds to get actual costs — not vendor quotes. API spend, dev hours, infra, and the hidden costs that blow budgets. Tier-by-tier breakdown inside.
Tested all three across 20+ real automations. n8n wins for speed, Make for non-coders, custom scripts when it gets complex. Side-by-side pricing, limits, and the exact use case each one owns.
My framework for identifying, scoping, and building automations without a single meeting. Used on every client engagement.
How AI agents are changing the way we build with Next.js — from agentic development to shipping 10x faster as a solo engineer.
Real costs, real tools, no fluff. M-F when I ship, publish, or learn something worth sending.