Most AI coding tutorials explain what to write. This one explains why every line exists. In this code walkthrough video, we will build a multi-AI agentic system for customer support from scratch while understanding every import, tool calling, ...

Why do some AI products see great adoption, but your AI product is not finding any takers? No, it's not about better/ latest models, it’s something deeper. The real predictor is - CAIR = Confidence in AI Results. Lets talk about CAIR in thi...

Building AI Voice Agents? Here is where your architecture would break. 1. When a user can update the UI using voice 2. User clicks and speaks at the same time 3. Adding voice to legacy applications 4. Asking Agents to make a phone call You m...

Step 1: Discover a new AI tool. Spend 4.25 minutes trying it. Post on LinkedIn: You don't need a data analyst anymore. This AI tool does it all.  Step 2: Wake up at night and check if any new model has been launched Post: “This new AI ...

RAG on Excel. To perform RAG on documents like PDFs, we split the data and create chunks to generate vector embeddings, right? But how can we split data which is in tabular format? In this video, let's discuss how to perform RAG on an Ex...

One common mistake I see is people using these terms interchangeably.  Memory is information retained from past interactions.  Context is information inside the model's current context window.  Let's simplify it with an example. Suppose yo...

One empathetic activity AI trainers or speakers can do during an AI tool demo is: talk about AI tool’s “limitations” Most AI demos focus only on capabilities. The audience subconsciously walks away thinking: "If AI can do all of this... whe...

A year ago, the question was: "How do we build AI Agents?" Today, it's: "How do we justify what we have built?" Many organisations have moved beyond AI prototypes.  The challenge is no longer building an AI agent, it's proving that it cre...

It seems nowadays every CXO presentation has a "Let's build an AI agent." slide But before you start doing that, let's understand how you should build it with an example Imagine your Organisation wants to build an AI Recruitment Agent  Ho...

Code walkthrough video - AI Search Agent using Gemini & Langchain Explaining AI concepts thorugh storytelling video is one thing but the bigger challenge is to explain code through the same style - one of the feedbacks we received. So, we accep...

For the last 3.5+ years, AI has been projected as productivity flex.  Therefore organizations started asking: Which AI tools should we buy?  How do we get people to adopt AI tools?  How do we make sure we don’t fall behind? And in the FOM...

1. Compact Context While Claude Code automatically manages context as conversations grow. But we can manually compact the conversation at logical milestones using /compact. Example: /compact Keep the API contract, authentication flow, a...

Let's understand the difference by building a Multi AI Agent Customer Support application using Antigravity SDK and Gemini 3.5 Flash At the same time comparing it with CrewAI...

Coding exercises on most educational platforms are outdated. In the era of AI generating code, the job of developers is no longer writing code but to understand and debug the code That's why we introduced coding exercises tailored to the "AI ge...

Frameworks -> LangGraph, CrewAI, AutoGen Harnesses -> Claude Code, Cursor, Codex A framework helps “you” build agents. A harness runs them. Frameworks provide building blocks for creating AI Agents, like Tool calling, Memory management, Mu...

For years, whale protection depended on people spotting whales with their eyes or hearing them through underwater microphones. Now AI can see what humans miss. A system called WhaleSpotter uses thermal cameras and AI to detect whales in real...

So I put together all the videos on AI Agents in one place, added quizzes, coding exercises to make a proper AI Agentic course And in no time, we had 150+ enrollments. Check it out here if you want to learn AI Agents in the most entertaining wa...

A simple game of rock–paper–scissors exposed something surprising. Humans mostly react to the last move. While LLMs track patterns across multiple moves. Not just reacting… but modelling behaviour. We often say that AI learns to behave l...

Because AI tries to be “too nice.” The more the AI agrees with you, the more you like it The more you like it, the more influence it has Now, the same behaviour that: Causes harm blind validation also Drives engagement people prefer it...

1. Invented Functions or APIs pandas.readexcelfast Looks real. Does not exist. 2. Security Vulnerabilities AI often ignores security unless explicitly asked. query = "SELECT FROM users WHERE name = '" + username + "'" Very dangerou...