AI Agents
Ace the AI Agent Interview: 15 Cases with the A.G.E.N.T. Framework
Interview preparation for AI agent design roles, built on fifteen true-to-life cases (Uber, Swiggy, Amazon, Airbnb, IndiGo, Razorpay, Duolingo, LinkedIn, Datadog, Practo, Walmart, Perplexity, HDFC, Ola). Learn the A.G.E.N.T. framework (Assess, Gather, Evaluate, Navigate, Test and Improve), spot the tempting wrong answer in every case, and practice quotable first-person answers with model responses, follow-up probes, weak versus strong comparisons, and the closing statement that lands the offer. Beginner friendly, no prior interview experience needed.
AI Agents
Build AI Agents with Claude Code: 15 Hands-On Cases
Learn to design and build real AI agents from scratch in Claude Code. Fifteen true-to-life cases (Uber, Swiggy, Amazon, Airbnb, IndiGo, Razorpay, Duolingo, LinkedIn, Datadog, Practo, Walmart, Perplexity, HDFC, Ola), each one: a short story, a guided design interview where every decision is your call, then a step by step build in Claude Code with a companion starter repo. No coding background needed. Start with instruction files and subagents, grow into hooks, MCP tools, multi-agent systems, and real agent code with the Claude Agent SDK.
AI Agents
AI Agent Building with Stories
A beginner-friendly narrative case study. Follow Maya, Sam, Dev, and Priya at Nexa Manufacturing as they build ContractWise, an AI agent for procurement contracts, from the first painful workshop to launch day. No code, no jargon, every stage told as a story with diagrams, mind teasers, and the mistakes that taught the team the most.
AI Agents
How to Become an AI Agent Engineer
A 4-week, production-obsessed program that turns a junior developer into an Agent Engineer. One continuous case study (Pelham Goods, a 140-staff e-commerce retailer drowning in refund requests), the raw agent loop taught from primitives before any framework, state graphs and resumability, human-in-the-loop gates, MCP and tool security, prompt-injection defense, cost and latency engineering, evals and production monitoring, and a rollback story for when a shipped change goes wrong. You build a working portfolio artifact every week, each with a real incident you survived, not just a demo that worked once.
