4d ago · 11 min read · The agent returned a 200. The customer lost $4,200. The monitoring dashboard showed green. This is the failure mode that keeps me up at night — not the one where your AI agent crashes with a stack trace, but the one where it succeeds at the wrong thi...
Join discussion5d ago · 11 min read · The agent returned a 200. The customer lost $4,200. The monitoring dashboard showed green. This is the failure mode that keeps me up at night — not the one where your AI agent crashes with a stack trace, but the one where it succeeds at the wrong thi...
Join discussionMay 6 · 6 min read · When building production AI systems with CrewAI, the choice between specialist agents and orchestrator-worker patterns isn't just architectural—it's a decision that impacts cost, reliability, and scalability. Let me walk you through the concrete trad...
Join discussionMay 5 · 6 min read · The names have been changed to protect the innocent. :) A Fortune 500 retailer spent $5 million on GPUs and hired a team of Stanford PhDs to build their AI future. Six months later, they quietly disbanded the team. Not because the AI didn't work. The...
Join discussionMay 2 · 7 min read · In Part 1, we covered why traditional agents fail at scale and how the Skills architecture solves the Context Ceiling problem. In Part 2, we go further: what happens when a single agent — even a well-architected one with a mature skills library — is ...
Join discussionMay 2 · 6 min read · There is a dirty secret in the AI agent space that vendors do not advertise: their systems degrade badly as the number of available tools grows. If you have ever deployed an agent in production and watched it confidently select the wrong tool, or wor...
Join discussionApr 24 · 5 min read · Everyone building AI systems right now has the same instinct: if one agent is good, multiple agents debating must be better. It feels rigorous. It feels like ensemble methods from classical ML. It is a trap. The consensus problem nobody talks about M...
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Apr 23 · 12 min read · TL;DR: Most AI pilots stall before production. This 90-day framework covers scoping, KPIs, kill criteria, and the handoff checklist for European SME teams. Consider a 35-person logistics software firm in Rotterdam. Six months ago, the operations lea...
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Apr 23 · 5 min read · AI Agent Orchestration Patterns: How to Build Production-Grade Multi-Agent Systems A month into running AI agents in production, I've learned something counterintuitive: the hard part isn't getting a single agent to work. It's getting multiple agents...
Join discussionApr 19 · 9 min read · The OpenAI Agents SDK received its most significant infrastructure update on April 15, 2026 — and if you are building autonomous AI agents in production, this is the release that changes your deployment architecture. The update introduces four interc...
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