Learn by Doing
Interactive simulators on crude oil trading mechanics and generative AI engineering. Every number derived from scratch — use sliders to simulate your own position.
Oil Trading
Physical crude mechanics, pricing, risk & daily reports
GenAI Engineering
Tokens, RAG, tool use, MCP, and production agent systems
Claude Code
Agentic loop, tools, hooks, skills & CI/CD with Claude
Crude Oil Trading Simulator
Physical Trade · Pricing · Hedging · Forward Curve · Risk Reports
Learn by doing. Walk through a complete physical crude trade — from buying a cargo to hedging, pricing mechanics, forward curve analysis, and all five daily reports. Interactive sliders on every tab.
Exposure Report Explained
DV01 · VaR · Limits Dashboard · Stress Tests
No assumptions — every number is derived from scratch. Understand DV01 (differential sensitivity), how VaR is built from daily volatility, what a limits dashboard looks like, and how stress tests quantify tail risk.
All Trading Reports Explained
Position · MtM · Commercial Margin · Capital Charges · EOD
The six reports every physical oil trader reads every day — with full math, interactive sliders, and plain-English explanations. From position report to end-of-day dashboard.
Freight, Pipelines & Storage
Tanker Freight · WS Rates · Pipeline Nominations · Contango Trade
How logistics costs affect your trade decision and commercial margin. Covers Worldscale freight, pipeline tariffs and nominations, the contango cash-and-carry storage trade, and a full margin waterfall builder.
Model Context Protocol — The Universal Language for AI Tools
Architecture · History · Configuration · Real-World Examples
A deep-dive into Model Context Protocol — the open standard that connects AI models to any tool, database, or service. Covers architecture, JSON-RPC internals, configuration, real-world examples, and CI/CD integration.
Claude Code Interactive Simulator
Full walkthrough of Claude Code features
A hands-on guide to Claude Code — from understanding the agentic loop to using hooks, tools, and skills. Each concept includes live simulations, real-world analogies, and interactive examples.
GenAI Engineering — Phases 1–3
Python · APIs · Tokens · Prompting · RAG · Embeddings
A complete, interactive curriculum from Python fundamentals to production-grade AI systems. Phase 1: foundations. Phase 2: LLM basics (tokens, context windows, prompting). Phase 3: RAG (embeddings, chunking, retrieval). Includes live simulators for each concept.
GenAI Engineering — Phases 4–6
Tool Use · MCP · Agent SDKs · LangChain · LangGraph
From chatbot to action machine. Phase 4: Tool calling fundamentals. Phase 5: Model Context Protocol (MCP) — the USB-C of AI. Phase 6: OpenAI Agents SDK, LangChain, LangGraph, and LlamaIndex. Includes animated flow diagrams and interactive workflow builders.
Ollama: Run AI Locally
Local LLMs · Installation · Model Catalog · Harness Tools · Codex CLI
A complete beginner-friendly guide to Ollama — the open-source runtime that lets you run LLMs like Gemma, Llama, and Mistral entirely on your own hardware with no cloud, no API keys, and no data leaving your machine. Covers architecture, installation, Modelfiles, system requirements, pros and cons, and using Ollama as a backend for harness tools like Codex CLI and Continue.dev.