At the heart of the [true knowledge] system is the Knowledge Base - a huge database of facts on any topic represented in a form that can be processed by computer. Facts are also inferred by the Knowledge Generator, either using Knowledge Base facts, other generated facts or external feeds of knowledge.

Users can ask questions through a browser interface and those questions are translated via Natural Language Translation into queries expressed in [true knowledge] query language. Our technology contains methods for disambiguating ambiguous questions, including removing interpretations of questions that are unlikely. Questions can also be abbreviated to two or three words and still be understood - similar to typical keyword search terms.

The Query/Answer System uses Knowledge Base and generated facts to answer queries. The API provides an alternative interface to the Query/Answer System from remote computers.

System Assessment further processes existing facts in order to maintain semantic consistency of knowledge. For example, facts can be marked as untrue if they are contradicted by other facts. The browser interface provides a means for users to assess the validity of facts (User Assessment), enabling them to endorse or contradict particular facts. A user's reputation and track record is used to automatically weight this information. In combination with System Assessment this prevents the back-and-forth battles that are common on Wikis.

The Knowledge Base grows through Knowledge Addition, either from users via the browser interface, or imported in volume from Other Sources.

A key design decision is that all components are extendable by users. In addition to users adding facts, they can also extend the questions that can be translated into whole new areas and even provide new inference rules (and even executable code for steps that involve calculation) for the Knowledge Generator.