AI Tutorials
Practical AI development tutorials
Articles
How Claude Helped Me Land a $200k+ Machine Learning Resumeโญ10
Use Claude to craft a targeted ML resume that landed a $200k+ offer. Learn structuring, tailoring, and AI optimization tips.
How to Apply Coding Agents to Non-Programming Tasksโญ9
Discover how to apply coding agents beyond programmingโautomate data entry, research, and budgets to boost productivity and streamline office work.
How I Replaced a 15-Minute Booking Process with a LangGraph AI Agentโญ9
Building an AI booking agent with LangGraph: automating a 15-minute process, handling quotes, scheduling, and 24/7 customer service.
Coding Agents Donโt Need Bigger Context Windows โ They Need aโญ10
Coding agents don't need bigger context windowsโthey need a compiler approach. This three-pass pipeline cuts prompt sizes by 69-74% in under 75ms.
Put the Agent Inside the Workflowโญ9
Learn when to use workflows vs agents in LLM apps, and how a hybrid pattern with an agent inside a fixed workflow improves flexibility and control.
What Is Agentic AI? How AI Is Evolving From Chatbot to Co-Workerโญ10
Agentic AI moves beyond chatbots by planning, deciding, and acting autonomously. Explore how it works, real-world uses, and key risks.
The 3ร Token Bill We Didnโt See Comingโญ10
A multi-agent architecture upgrade tripled LLM token usage despite flat traffic. This post breaks down the surprising cost spike, the debugging journey,
When the Code Becomes the CEO: Why Your Next Manager Might Be aโญ8
Generations of executives are giving way to decentralized agentic loopsโautonomous code that cuts through corporate latency and replaces human middle managers.
How to Debug AI Coding Agents When They Change the Wrong Thingโญ10
Learn how to debug AI coding agents when they modify the wrong code, trace changes, verify fixes with evidence, and ensure accurate results.
Agentic AI with LangGraph: Build AI Agents and Automate Workflowsโญ8
Learn to build autonomous AI agents with LangGraph & LangChain in this 24-hour hands-on course. Master workflows, RAG, HITL, & production deployment.
