• Articles

    Article: Rhythm of Business (ROB)

    June 25, 2026 - By 

    Every successful project or business depends on good planning, regular communication, and timely decisions. Whether it is developing a software application, launching a new product, or managing day-to-day business operations, teams need a structured way to stay aligned. This is where Rhythm of Business aka ROB comes into the picture. Rhythm of Business is a regular schedule of meetings, reviews, and decision-making activities that helps teams work together effectively. Instead of conducting meetings only when problems arise, organizations follow a planned routine to review progress, discuss challenges, and make decisions. Note that, ROB is commonly used in enterprise project and…

  • AI/ML - Articles

    Article: Architecting for Frontier Models: Lessons from Claude Fable 5

    June 18, 2026 - By 

    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

  • Articles

    Taking over a running project: What experienced professionals get wrong

    April 9, 2026 - By 

    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…

  • Articles

    New Article: Token Budgeting: Predicting LLM costs before you hit “Send”

    April 5, 2026 - By 

    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

  • AI/ML - Articles

    Claude Cowork vs MS Copilot Cowork

    March 20, 2026 - By 

    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…

  • AI/ML - Articles

    Article: Architecting the enterprise AI reality: A blueprint for integration and value

    February 23, 2026 - By 

    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

  • AI/ML - Articles - General

    My journey of building an AI-Powered App for a pseudoscience project

    January 19, 2026 - By 

    I recently worked on an AI project that was quite unusual. It was about analyzing the past, present, and future of a person’s life. Yes, you guessed it right. Astrology. More specifically, this project focused on Vedic Astrology using the Kerala system. As someone who builds AI systems for a living, and being someone who loves solving challenging problems, I was excited. Modern AI tools make it incredibly easy to spin up apps quickly. But here is the reality check. The whole concept of “vibe coding” is still evolving, especially when it comes to complex data analysis, probabilistic workflows, and…

  • AI/ML - Articles - CTO

    Article: Do AI Agents learn automatically?

    January 17, 2026 - By 

    AI agents are often described as autonomous, adaptive, and intelligent. This can create the impression that they automatically learn from every interaction and continuously improve on their own. In reality, most AI agents do not learn automatically. They must be explicitly designed, configured, or programmed to learn. Understanding this distinction is critical when building real-world AI systems. Key Takeaways: Contrary to popular belief, AI agents do not automatically learn from interactions. Once deployed, their internal models are “frozen” unless explicitly engineered otherwise. An agent remembering your name or past context is simply data retrieval (eg. RAG), not learning. True learning…

  • AI/ML - Articles

    Hosting a SLM Qwen 2.5 on Raspberry Pi 2

    December 8, 2025 - By 

    This article is a write up of my experience on hosting Qwen 2.5 the 0.5B model in Raspberry Pi 2 using Llama.cpp. Qwen 2.5 is one of the small SLM with 0.5B parameters so a small development board like Raspberry Pi can hold it. RPi 2 Model B comes with 900Mhz speed and only 1GB of memory. But to be honest, setting up the project might take 1-2 hours, and the prompt execution is only some 1-2 tokens per second. So you need to be patient. Let us begin! Step 0: Pick up the Raspberry Pi 2 from the attic.…