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Token Economy Trap: Why Enterprise AI Needs Agent Fabric
AI is getting cheaper every quarter and yet the enterprise AI budget keeps rising. OpenAI cut GPT-4 Turbo input costs by 67% in a... read more.
Cutting Token Costs at the AI Gateway
Platform teams using AI agents see token costs grow when models repeatedly process large tool catalogs or oversized tool responses. However, identifying which traffic... read more.
Taming the Rogue Agent Problem
AI agent security has dominated tech headlines this summer, and the world’s leading LLMs learned a hard lesson: even under close supervision, autonomous agents... read more.
Architecting the Agentic Enterprise: Unifying Context, Control and Activation for AI Agents
Every organisation wants to become AI-driven. Yet many are attempting to build AI capabilities on fragmented data, disconnected systems, inconsistent business definitions and siloed... read more.
How Guided Determinism Provides the Reliability for Production at Scale
The gap between a compelling AI agent demo and a production-ready one is not a technology gap, it’s a control gap. Around one in... read more.
A Framework for Architecting Agent Control Plane
The governance challenge of agentic AI is not primarily a model problem or an agent-building problem. It is an integration and operations problem. When... read more.
When AI Joins the Team: How RUSH Uses MuleSoft Vibes to Innovate
Hospitals rely on interoperability. At Rush University System for Health (RUSH), a network that functions as both a major medical center and a university,... read more.
Unpacking the AI Cost Spiral
AI costs have been the talk of tech news this year. Companies have been blowing through their annual AI budgets in just months with... read more.
Own Less Code: From Serverless to the Rise of Agentic Programming
In 2019, I wrote about a simple but powerful idea: Own Less – Serverless. The argument was that serverless computing represented a new layer... read more.
Why Every Agent Action Must Be Traceable to a Human Identity
When working with engineering teams on multi-agent systems, the conversation usually starts with orchestration patterns and protocol choices. But there's a more fundamental problem... read more.























