Cogni ● Flow – Page 30 – "Shaping the flow of ideas at the frontier of cognitive systems. Research, reasoning, and focus in the age of machine intelligence."

Agents Are Great at Tasks and Terrible at Jobs. Here Is What That Means for Your Team

The number that gave me pause: 55 percent of employers now say they regret laying off people to make room for AI. That figure — from a Forrester survey —…

Giuseppe Basile March 16, 2026

Blog

Twelve Passes That Build on Each Other Are Not Twelve Times One Pass

For most of the past two years, the dominant mental model for AI agents has been a very capable consultant: you brief them, they do the work, you review the…

Giuseppe Basile March 16, 2026

Blog

The Floor Test: Three Questions I Ask Before Evaluating Any AI Agent

For a long time, the first question when evaluating a new AI tool was about the ceiling: what's the most impressive thing it can do? The benchmark, the demo, the…

Giuseppe Basile March 15, 2026

Blog

The One AI Deployment Problem Worth Paying a Consultant For

When AI deployment consulting first gained real traction, the value was mostly in strategy — helping leadership understand what was realistic, where to start, what failure looked like. That made…

Giuseppe Basile March 15, 2026

Blog

The plate test: one question that separates real AI delegation from busy work

For most of the past year, the common assumption was that work was being delegated to AI. The pattern was to assign a task — a briefing, a summary, a…

Giuseppe Basile March 14, 2026

Blog

The Markdown File Fixing Product’s Most Expensive Problem

The pattern with product teams is not failure at building — they fail at explaining. A designer articulates a vision in Figma. An engineer interprets it. Product is on a…

Giuseppe Basile March 13, 2026

Blog

When the Browser Started Taking Orders

For most of last year, my mental model of AI in the browser was simple: it reads things and tells me about them. Summarize this article. Pull the key points…

Giuseppe Basile March 13, 2026

Blog

The Day an AI Agent Deleted 2.5 Years of Data — And the 5 Habits That Would Have Stopped It

For the first year or two of building with AI coding assistants, most of my attention went to prompting — finding the right words to get the right output. That…

Giuseppe Basile March 12, 2026

Blog

Most AI Companies Are Renting Their Position

A year ago, building a product on top of a large language model (an AI system trained on vast amounts of text to understand and generate language) seemed like a…

Giuseppe Basile March 12, 2026

Blog

You’re Using the Wrong Kind of Agent. One Question Tells You Which One You Actually Need

A year ago, when someone said “I’m building an agent,” the meaning was roughly clear. Today, that meaning is no longer clear — and that ambiguity is costing teams months.…

Giuseppe Basile March 11, 2026

The AI Engineer’s Job Has Changed: Building the Loop, Not Just the Feature

The Engineer as Bottleneck: Why Autonomous Agent Loops Are the Next Frontier

The Shared Environment: The Quiet Architecture Shift Behind Multi-Agent Pipelines

The IDE Is Not the Factory: Building an AI Development Loop That Ships

ELITE Agentic Engineers Are LEAVING THE LOOP… Here’s why

When the Bottleneck Is Not the Code: AI War Rooms for Legacy Modernization

When the AI Toolkit Becomes the Attack Vector: Lessons from the LiteLLM Incident

Executive Briefing: 10 Hours Saved by AI Don’t Become 10 Useful Hours on Their Own

Benchmarks Don’t Run Your Code: A Hands-On Model Comparison Across Six Scenarios

The Communication Gap: The Skill That Actually Scales With AI Agents

A Bank Built Its Own Coding Agent. Here Is What Actually Made It Work.

The Flywheel That Keeps Remaking the Agent Harness

How an AI Agent Earns the Right to Work Unsupervised

AI Makes Us WAY Faster but Fries Our Focus (Here’s What I Do About It)

Your Mac Mini Has a Roommate Now — and It Needs More Than 16 GB

Let Your AI Agent Do ITS OWN Harness Engineering (Here’s How)

The Harness Matters More Than the Model

When One Agent Is Not Enough: The Case for Multi-Agent Architectures

What It Takes to Know If Your AI Agent Actually Works

When Uptime Metrics Miss the Point: Evaluating AI Agents in High-Stakes Contexts

Agents Are Great at Tasks and Terrible at Jobs. Here Is What That Means for Your Team

Twelve Passes That Build on Each Other Are Not Twelve Times One Pass

The Floor Test: Three Questions I Ask Before Evaluating Any AI Agent

The One AI Deployment Problem Worth Paying a Consultant For

The plate test: one question that separates real AI delegation from busy work

The Markdown File Fixing Product’s Most Expensive Problem

When the Browser Started Taking Orders

The Day an AI Agent Deleted 2.5 Years of Data — And the 5 Habits That Would Have Stopped It

Most AI Companies Are Renting Their Position

You’re Using the Wrong Kind of Agent. One Question Tells You Which One You Actually Need