AI
AI Costs and Governance
Based on McKinsey July 2026 study. Despite dramatic drops in raw inference costs—with GPT-3.5-level token prices plummeting from $20 per million to under $0.07…
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AIStructural Scaffolding for AI: Why the Agent Harness Defines Production Success
In the early waves of generative AI adoption, organizations assumed that deploying increasingly advanced frontier models would automatically solve execution er…
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AIMachine Learning APIs with the Model Context Protocol (MCP)
In enterprise AI, a major engineering challenge is bridging the gap between existing backend systems and the fast-growing ecosystem of autonomous AI agents. A …
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AIAzure AI Foundry / Anthropic Claude Multi-Agent Pattern
Bringing Anthropic’s Claude into Azure AI Foundry is a massive shift for enterprise AI. Previously, if a bank wanted to use OpenAI’s GPT models, they used Azur…
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AIFrom Retrieval to Reasoning: Demystifying Microsoft Foundry IQ
Building production-grade Generative AI for the enterprise requires moving far beyond simple vector search or basic RAG pipelines. When launching true enterpri…
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AIGemini/Anti Gravity vs Microsoft
The tech landscape has officially passed the era of “AI as an autocomplete box.” We are no longer just looking for a chatbot to help us write a sin…
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AIScaling and Hosting Intelligent AI Agents in Production
Overview Moving AI agents from a prototype “promise” to a production reality requires a shift in focus from model selection to engineering rigors. …
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AIAzure AI Fabric IQ – Summary (The Semantic Layer)
Bridging the Gap Between Data and Action: Introducing Microsoft Fabric IQ In the world of enterprise data, there has always been a “missing link” b…
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AIClaude AI, acting on your machine
You might read or hear, “Claude Code is an AI tool that runs in the terminal.” For a lot of people, that sentence is an immediate deal-breaker. Don…
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