production ai – Cogni ● Flow

The Tribal Dungeons Problem: What Building AI Agents at Scale Actually Requires

When teams talk about deploying AI agents in production, the conversation tends to gravitate toward models — which one, how big, how much it costs. What the Maersk shipping experience…

Giuseppe Basile August 31, 2026

Blog

Agents Like Microservices in 2015

Ten years ago, teams adopting microservices were navitating with trial and error. The patterns that are now obvious — Kubernetes, service meshes, circuit breakers — were developed as a coherent…

Giuseppe Basile August 31, 2026

Blog

Your Agent Evolved. Did Your Evals?

For a long time, the question asked about an AI system was: "Does it give the right answer?" That question makes sense when a system is a single model call…

Giuseppe Basile August 22, 2026

Blog

When Keeping Everything Turns Out to Be Cheaper Than Summarising It

When Keeping Everything Turns Out to Be Cheaper Than Summarising It In early LLM applications, context management felt like an obvious problem: when the conversation window fills up, summarise it…

Giuseppe Basile August 19, 2026

Blog

Six Things Have to Be True Before AI Changes a Workflow

Something shifted in enterprise AI conversations around late 2025. A year earlier, the question was whether a frontier model could handle a given task at all. Now the question is…

Giuseppe Basile April 24, 2026

Blog

Seven Questions Decide Whether Your AI Agent Ships. Most Teams Can Answer Two.

For most of the past two years, the conversation around AI agents has been almost entirely about the model. Which model to use, what context window it needs, whether it…

Giuseppe Basile April 22, 2026

News

Opus 4.7 Got Smarter, More Literal, and More Expensive — and Each of Those Is a Different Problem

When Anthropic shipped Opus 4.7 in mid-April, the reaction split almost immediately into two camps: people saying it was the best model they’d ever used, and people saying it had…

Giuseppe Basile April 10, 2026

Blog

The 80% of AI Agent Work That Tutorials Skip

When first building with AI agents, most attention goes to the prompt. Get the instructions right, pick the right model, tune the parameters. The LLM call felt like the product…

Giuseppe Basile April 4, 2026

Blog

The Workarounds You Built for the Last Model Are Breaking the Next One

There's a pattern that keeps surfacing in production AI work that nobody really talks about until something breaks. A model upgrade ships, the team is excited, and within a week…

Giuseppe Basile April 3, 2026