Understanding AI
Understand generative AI and LLMs, their limits, tokens, context, RAG, APIs and agents.
Published articles 3 →Learn AI with
a clear next step.
Find a direction from foundation to advanced study and begin with articles available today. This is a growing learning path, with further content in preparation.
Four stages of learning
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01Foundation
Understand the basics of AI
Start with the characteristics and limitations of AI, and the difference between local and cloud models.
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02Beginner
Write prompts and improve results
Choose a model for your task and specify goals, constraints and ways to check the result.
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03Intermediate
Apply AI to real workflows
Current posts cover email and inquiry infrastructure. Document and data automation exercises will follow.
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04Advanced
Understand RAG, APIs and agents
The planned focus is how retrieval, data and tools connect. Dedicated advanced articles are in preparation.
Articles in preparation
TOPIC MAP
Read by topic
Explore the library through Understanding AI, Using AI, Practice Notes and AI News. You can start with a topic as well as follow the learning stages.
Using AI
Choose AI tools and models, write prompts, work with documents and verify answers.
Published articles 8 →Practice Notes
Real projects and work environments, with automation, setup, costs and troubleshooting notes.
Published articles 7 →AI News
AI model releases, new tool features and updates, grounded in dated official sources.
Published articles 4 →Verify results at every stage
- Write down the goal and success criteria first.
- Split complex work into smaller tasks.
- Compare supporting evidence with the original source.
- Record errors and limits, then try again.
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