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When the Agent Orchestration Layer Outgrows Python

Python still wins the prototype. But as agent workflows add concurrency, retries, and partial failure, the execution layer often needs a typed, durable runtime.

Last Month in AI – June 2026

May 2026 was a massive month for AI, marked by Google's I/O developer conference, major hardware announcements ahead of Computex, and significant shifts in the open-source landscape.

AI Agent Production Cost: A TCO Model for 100 Agents

Most agent budgets are built on chatbot economics. Here is a four-layer TCO model for 100 production agents — inference, infrastructure, people, and failure recovery.

Last Month in AI – May 2026

May 2026 was a massive month for AI, marked by Google's I/O developer conference, major hardware announcements ahead of Computex, and significant shifts in the open-source landscape.

The enterprise AI failure trap: why most AI pilots die before production

An analytical breakdown of why enterprise AI pilots fail before production — and how ownership, governance, infrastructure, and cost control decide whether AI creates business impact.

Last Month in AI – April 2026

April 2026 marked a clear shift in AI: from chatbots to autonomous execution systems. Major releases from OpenAI, Anthropic, Google, and Chinese AI labs showed how quickly the market is moving toward agentic, infrastructure-heavy computing. But with this progress came bigger questions around security, cost, and control.