Getting Started with AI
Start with a small task whose result you can check yourself.
Choose a task, explain it clearly and check the answer
Recommended reading
How to Choose Your First AI Task: Start Small, Low-Risk, and Reviewable
Use four criteria to choose a small task whose result you can review.
All articles
- ChatGPT & Codex BasicsCodex Tutorial for Beginners: From Choosing an Interface to Finishing Your First TaskChoose a Codex interface, prepare a local folder, and turn fictional feedback into a checked handoff table. Includes practice files and translations of verified Chinese outputs.
- AI ConceptsLLMs Are Not Knowledge Bases: Why Next-Token Prediction Can Produce Confidently Wrong AnswersUnderstand why fluent LLM output is not factual verification, and when AI applications need external data, retrieval, tools, validation, permissions, or human review.
- AI ConceptsTransformer Without the Math: What Attention and Embeddings Actually DoUnderstand Attention, Embeddings, and KV Cache without deriving matrices. Connect context, semantic search, RAG, and inference cost for AI application engineering.
- AI ConceptsWhat Exactly Is an AI Agent? From Chatbots to Closed-Loop Decision SystemsLearn why an AI Agent is more than an LLM with tools, and how Goal, State, Observation, Decision, Action, and Feedback form a closed-loop system.
- ChatGPT & Codex BasicsHow to Complete Your First Reviewable Task With CodexComplete your first Codex task with safe source material, a bounded request, and a review checklist that lets you verify every important result.
- Prompts & TasksShould You Add Context, Examples, or a Reference Format?Diagnose why an AI result missed the mark, then add only the context, examples, or reference format that solves the specific gap.
- Prompts & TasksHow to Fix an AI First Draft Without Starting OverKeep what works, describe the expected result, actual result, and gap, then run one focused revision you can review against the original task.