DevOps

Getting Started with AWS Bedrock: What It Is, Where It Fits, and How to Actually Set It Up

Introduction If you’ve spent any time around cloud teams lately, you’ve probably heard someone mention Bedrock in a meeting and then watched half the room nod along without really knowing what it does. I was in that boat too, until I actually sat down and built something with it. Here’s the short version: AWS Bedrock […]

Ketan Joshi
Ketan Joshi
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Media & Entertainment

From Chatbot Demo to Full-Stack Investigation Game

Introduction A “you are the game master” chat box is easy. It is also easy to cheat. The model invents a key, walks a lock, or forgets the room. That is improvisation with no referee. The Last Broadcast is the other design: a short investigation you can finish. AI may turn English into a command. A deterministic […]

Harshit Singhal
Harshit Singhal
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Project Management

Integrating Generative AI into Jira, Trello, or Asana Workflows

How Is AI Used in Project Management? Artificial intelligence (AI) is transforming how project managers work. The impact is significant, with AI changing many traditional project-management processes. While project managers have traditionally spent significant time preparing reports, maintaining documentation, analysing project data, and tracking progress, some of these routine activities can now be supported by […]

Nihit Goel
Nihit Goel
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BA

When the BA Became the AI Trainer — Without Anyone Telling Them

Introduction We talk a lot about how AI is changing the way we work. But here is something we do not talk about enough — how the Business Analyst’s role is quietly changing because of AI, often without anyone formally saying so. No one updated the job description. No one sent a circular. But somewhere […]

Monika Bhatti
Monika Bhatti
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Data Engineering

From Naive RAG to Production-Grade Agent: The 6-Stage Architecture of an Enterprise AI Assistant

Introduction Large Language Model (LLM) applications are evolving beyond single prompt-and-response setups. While basic Retrieval-Augmented Generation (RAG) scripts work well for simple Q&A over documents, real-world enterprise environments demand a much broader set of capabilities.In production, enterprise data is inherently fragmented: HR policies reside in unstructured PDFs, workforce metrics live in relational databases (SQL), and […]

Quality Engineering

Meet Our Quietest Team Member: AI

Our Quietest Team Member: How AI Changed the Way I Think About Testing It doesn’t attend stand-ups. It doesn’t ask questions during meetings. It doesn’t even have a Microsoft Teams status. Yet somehow, it has become one of the busiest members of our QA team. It Joined the Team Without Anyone Noticing A few months […]

JS

How to Build a Tool-Calling AI Agent Using LangChain and TypeScript

Introduction Large Language Models (LLMs) are incredibly powerful, but they have a major limitation: they are cut off from the real world. Imagine building a customer support bot. A user asks, “Where is my order #12345?” On its own, an LLM cannot fetch live database records, call a shipping provider’s API, or check inventory levels […]

Adobe

Adobe and Gen AI – Part 2: Local MCP Servers for AEM Development

Introduction In Part 1 of this series, we looked at Adobe Skills. Skills teach AI coding assistants Adobe’s recommended way of doing things. Skills tell the assistant how to do something. But on their own, they do not know what is happening in your running AEM instance right now. They do not know which bundle […]

BA

Why your media empire needs GenAI now: Netflix-level personalization decoded

Hook: Experience vs Content Today, content is everywhere. Movies, shows, reels, podcasts, live streams—audiences are overwhelmed with choices across platforms. The problem is no longer content availability; it’s content discovery and OTT user experience.  Modern media platforms are not competing on content libraries alone anymore—they are competing on OTT personalization and user experience. This is why […]