My thoughts on how Fable might be disrupting how other models ‘think’ Every new frontier model promises better benchmarks, larger context windows, and improved reasoning. While these capabilities matter, they often distract from the more important question for architects: How does this change the way we build AI systems? Read full article here – Architecting for Frontier Models: Lessons from Claude Fable 5 | LinkedIn
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Years ago, one of my mentor gave me a piece of advice that sounded oddly simplistic at the time: “Give ’em the bones, and they’ll play with it.” I laughed when I first heard it. Back then, I interpreted it as a shortcut mindset. A way of saying “just throw something out there” Over the years, working across enterprise programs, modernization initiatives, and high pressure delivery environments, I realized it meant something far more practical. It was never about lowering standards. It was about understanding how organizations react to uncertainty. As architects, we operate in an uncomfortable middle layer: The…
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Every few years, most of us get handed the same assignment in a new disguise. The words change, but the shape is always familiar: “We need you to join this project. It is already running. The previous person just left. Can you get up to speed quickly and take ownership?” It does not matter whether you are an architect, a developer, a tester, a database administrator, a DevOps engineer, a support executive, a business analyst, a product owner, or a project manager. The assignment is the same. Jump onto a moving train, learn the route, befriend the passengers, and eventually…
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Token estimation is not a solved problem, but it is a much more manageable problem than most teams realize. This article breaks down the practical strategies for projecting token usage before your prompts ever reach the model. Read my new AI Architecture article here – https://www.linkedin.com/pulse/token-budgeting-predicting-llm-costs-before-you-hit-send-praveen-nair-ovo0c
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Happy to share the news that I am a Microsoft Certified AI Transformation Leader now
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Similarities Aspect Core idea Delegate multi-step tasks to AI — it plans, executes, checks in, and delivers AI engine Both use Claude as the underlying model and share the same “agentic harness” — the system that allows the AI to use tools and the guardrails around how it functions Human-in-loop Both show you a plan before acting, require approvals for significant actions, and let you redirect mid-task Background execution Tasks run asynchronously — you can step away and come back to completed work MCP standard Both use the Model Context Protocol for connecting to external tools Status Both currently in…
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Read my new article “Context Window explained” in LinkedIn – https://www.linkedin.com/pulse/context-window-explained-praveen-nair-yif9c
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I was lucky to participate in the event last Saturday 14/Mar/2026.
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I agree here that the comparison is between apples and oranges, but it has at least a near-similar round shape. Cosmos DB: Account -> Database -> Container -> Item/Document Firestore: Database -> Collection -> Document -> Subcollection -> Document -> …
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In the past, the tech world was obsessed with the raw potential of artificial intelligence. Today, the conversation has moved entirely to verifiable integrations, strict governance, and clear returns on investment. Building a massive system is only half the battle. The other half is proving the system is secure, compliant, and financially viable for the business. Let us explore the core views that shape how large scale systems are built and validated in the real world. Read full article: https://www.linkedin.com/pulse/architecting-enterprise-ai-reality-blueprint-integration-praveen-nair-72sdc