AI Agents & Automation

Over the past year, I’ve noticed a pattern. Continue reading on Medium »

Over the past year, I’ve noticed a pattern. Continue reading on Medium »

Imagine you’re the CTO of a large e-commerce company during the biggest shopping event of the year. Continue reading on Medium »

I’ve been paying attention to how quickly frontier AI capability is moving models like Claude Mythos and Claude Fable are pushing that… Continue reading on Medi

TL;DR: OpenOPC is an open-source Python framework that assembles a team of AI agents around a goal,...

Every researcher knows the pain. You type "attention mechanism survey" into Google Scholar. 50 pages...

Palo Alto bought Portkey, Solo.io gave agentgateway to the Linux Foundation. Agent gateways are consolidating into a category. A CXO read on MCP governance and

By 2027, 65% of enterprise AI deployments will involve multiple AI agents working in coordination — up from fewer than 15% in 2024 (Gartner, 2024). Yet most org

One thing has felt odd to me while working with AI agents. We've gotten pretty good at giving them memory for text. They can search documentation, index reposit

Stop Building Agent Memory. Your Agent Doesn't Need It. Last week I looked at my Redis dashboard and realized something: 4 out of 5 agent memory databases had z

What four weeks of weekly data reveal Continue reading on Medium »

Following the successful broadcast of the Sovereign Vector Inference manifesto (Node-1) and the subsequent automated telemetry feedback… Continue reading on Med

Following the successful broadcast of the Sovereign Vector Inference manifesto (Node-1) and the subsequent automated telemetry feedback… Continue reading on Med

Following the successful broadcast of the Sovereign Vector Inference manifesto (Node-1) and the subsequent automated telemetry feedback… Continue reading on Med

OpenAI's Assistants API shuts down Aug 26, 2026. Get the Threads-to-Conversations migration map, a measured token-cost check, and a port checklist.

Building reliable autonomous workflows in production requires solving three main challenges: API...

The single hardest thing about getting paid isn't writing the invoice. It's the follow-up — knowing...

Why I prefer validated agent specs, allowlisted tools, and experiment contracts over arbitrary code execution. Continue reading on Medium »

🎲 A Tale of Inference Woes 🎲 Thy context window overflows with dread, Thy API keys scattered 'cross...

With over 5 years in customer support and retention, I've lost count of how many times I've seen the...

My name is Kevin. I’m a backend engineer by trade, but also a commercial pilot. I am fortunate enough...

The AI conversation is changing again. Continue reading on Medium »

Most AI API onboarding advice starts with model choice: pick a cheap model, pick a fast model, pick...

AI agents for business 2026 have quietly moved from experimental pilots to daily operations. If a competitor of yours is responding to… Continue reading on Medi

I am still at the beginning of this project. I have not finalized every model, every score, or every routing rule, and I do not want to… Continue reading on Med

Build a Profitable AI Agent with LangChain: A Step-by-Step Tutorial LangChain is a...

On August 26, 2026 OpenAI turns off the Assistants API. /v1/assistants, /v1/threads, and...

Coding-agent spend becomes manageable when cost is attached to traces, reviewed by engineering, and enforced through gateway policy.

I recently left my role at Superlogic. I am not leaving technology. I am not stepping away from ...

Agent orchestration works better when loops, retries, fanout, and approvals move from prompts into executable code with a narrow harness boundary.

If you've heard about the Model Context Protocol (MCP) but aren't sure how to build something with...

The demand for easy AI agent creation is clear, with trends like "From Zero to Your First AI Agent in 25 Minutes (No Coding)" and "AI Agents Explained: How to C

ChatGPT. Claude. Gemini. Grok. Continue reading on Medium »

A durable, budgeted agent runner, and the moment I realized my last five articles were one idea. Continue reading on Medium »

As engineering organizations scale, manual portfolio tracking becomes slow, fragmented, and error-prone. This article presents a three-phase framework for build

AI Networking Terminology Explained: A2A, MCP, and ANP If you're building with autonomous agents in 2026, you've probably run into three acronyms that get throw

Quick disclosure before anything else: I'm on the team behind this. Not a neutral reviewer, just...

Eighteen months ago, agent-driven ad buying was a keynote topic. Today it is two competing standards...

Building AI agents as conversational chatbots with tools works for a demo, but shatters in production when a process spans multiple sessions. Relying on chat lo

A founder showed me a dashboard last month with a metric I hadn't seen before: cost per completed...

The article proposes the concept of a Personal AI Representative (PAIR): a persistent AI agent that acts on behalf of an individual rather than simply respondin

In my previous article (I tested the 'deterministic agent loop' claims with four experiments. They...

How we architected a multi-agent system that runs marketing operations continuously — without locking into one LLM vendor, and without… Continue reading on Medi

The demo was clean. Forty-three test cases, all passing. The agent took a structured input, processed...

The greatest disruption of artificial intelligence isn’t automation — it’s the end of management as we know it. Continue reading on Medium »

AI isn't just automating work—it is replacing the need for traditional management. For decades,...

This is the hands-on companion to Part 1: The Critic Agent — Teach Your AI to Check Its Own Work. There, we covered the idea: a separate… Continue reading on To

This is the hands-on companion to Part 1: The Critic Agent — Teach Your AI to Check Its Own Work. There, we covered the idea: a separate… Continue reading on To