New Article Template
ARTICLE TITLE
A brief, neutral summary of what the topic is and why it matters.
Remembering (Knowledge / Recall)
🧠 At this level, list the definitions, core vocabulary, and factual components an expert would be able to name.
- Core terminology & definitions
- [EXTERNAL_LINK Term] – Short, precise definition.
- [EXTERNAL_LINK Term] – What it refers to and its purpose.
- [EXTERNAL_LINK Term] – Key acronym, protocol, object, role, etc.
- Key components / actors / parts
- [EXTERNAL_LINK Component] – What it is.
- [EXTERNAL_LINK Component] – Where it belongs in the system.
- Canonical tools & frameworks
- [EXTERNAL_LINK Tool/Library/Standard]
- Where this topic commonly appears
- Industries, workflows, contexts, disciplines.
- Typical recall-level facts
- Year introduced, vendor, category, major versions, etc.
Understanding (Comprehension)
📖 Explain how the topic works conceptually and how it relates to similar concepts.
- Conceptual relationships & contrasts
- Topic vs. alternative – differences and trade-offs.
- Topic within a broader ecosystem.
- Core principles & paradigms
- Guiding philosophy, architectural assumptions, learning model.
- How it works
- Inputs → processes → outputs (high level).
- Roles & perspectives
- Builder, user, operator, stakeholder.
Applying (Use / Application)
🛠️ Show how the topic is used in practice.
- "Hello, World" or canonical examples
- Minimal example of using the topic correctly.
- Core task loops
- Common workflows or usage patterns.
- Frequently used commands / functions / actions
- Short reference list.
- Real-world use cases
- Common jobs the topic solves.
Analyzing (Break Down / Analysis)
🔬 Break apart structure, diagnose issues, compare alternatives.
- Comparative analysis
- Topic vs. competing tools/approaches.
- Failure modes & root causes
- Typical mistakes, bottlenecks, misunderstandings.
- Troubleshooting & observability techniques
- Logs, metrics, debugging patterns.
- Structural insights
- Dependencies, boundaries, internal organization.
Creating (Synthesis / Create)
🏗️ Demonstrate expert-level design, composition, and optimization.
- Design patterns & best practices
- Proven approaches used by experts.
- Security, governance, or ethical considerations
- Lifecycle management strategies
- Versioning, upgrades, migrations, refactors.
- Scalability & optimization patterns
Evaluating (Judgment / Evaluation)
⚖️ Assess quality, effectiveness, readiness, and long-term fit.
- Evaluation frameworks & tools
- Ways to measure quality or success.
- Maturity & adoption models
- Indicators of ecosystem stability.
- Key performance indicators
- What should be measured and why.
- Strategic decision criteria
- When to choose this topic — or not.
- Holistic impact analysis
- Cost, risk, maintainability, learning curve.