AISApedia is a wiki-style encyclopedia built by AISA, the AI skills assessment platform. Each entry explains an AI concept that matters for day-to-day professional work — what it is, why it matters, how to apply it, and what mistakes to avoid. Entries are structured as question-and-answer reference guides, designed to be useful whether you are a developer, product manager, designer, or data scientist.

The encyclopedia covers the full spectrum of practical AI literacy — from foundational concepts like how context windows work and why AI outputs need verification, through intermediate skills like prompt chaining and retrieval-augmented generation, to advanced topics like agent orchestration, evaluation frameworks, and multi-model architectures.

Every entry links to a curated external resource — an article, tutorial, or documentation page from sources like Anthropic, OpenAI, Stanford HAI, arXiv, Nature, and others — for readers who want to go deeper on the technical foundations. These resources are editorially selected for quality and relevance, not algorithmically generated.

AISA is a conversational AI skills assessment. Instead of multiple-choice tests, candidates have a natural conversation with Aisa — an AI interviewer — who evaluates practical AI fluency across 11 criteria grouped into five dimensions: Prompting & Communication, Critical Thinking, Technical Understanding, Workflow & Application, and Safety & Responsibility.

The assessment produces a detailed report with dimension scores, a persona classification (from Bystander through to Oracle), and personalised recommendations for improvement. Individuals use it to benchmark their AI skills; employers use it to evaluate candidates and teams.

AISApedia entries map directly to these assessment dimensions — each concept is tagged with the skills it relates to, making this encyclopedia a practical companion to the assessment experience. If a report identifies Critical Thinking as a growth area, the corresponding AISApedia entries on hallucination detection, citation verification, and cross-model verification provide the learning path.

AISApedia is written for professionals who use AI tools in their work and want to use them more effectively. It assumes no machine learning background — foundational entries explain concepts from scratch — but it goes deep enough that experienced practitioners will find the intermediate and advanced entries useful for refining their approach.

Each entry includes role relevance indicators showing which professional roles benefit most from the concept. A product manager exploring AI-assisted PRDs has different needs than a developer working with API integration patterns — the encyclopedia accommodates both.

Entries are classified by difficulty level — Foundational for core concepts every AI user should understand, Intermediate for skills that differentiate competent practitioners, and Advanced for topics relevant to builders and architects working at the cutting edge.

Each entry is also tagged with the AISA skill dimensions it relates to. This dual classification — by difficulty and by skill area — means you can approach the encyclopedia from whichever angle is most useful: learning progressively from foundational to advanced, or diving into a specific skill area like Workflow & Application to strengthen a particular dimension.