Инструмент «Topic explainer»: как получить точное объяснение темы
The Topic explainer tool creates an explanation of a topic at the selected level: it outputs connected text, an example, and a short comprehension check. It is a simple text generator, not a universal platform. In this guide we will explain how to formulate a request in two fields, how to evaluate the result, and what limitations are important to consider so that the explanation is useful, not formal.
Open tool: Topic explainer ↗What exactly the tool does
Topic explainer accepts two fields: 'Your text or idea' (up to 8000 characters) and 'Audience or experience level' (up to 1000 characters). After pressing the generate button you receive one result in a separate panel: an explanation, an example, and a short comprehension check. The result can be copied or downloaded as a plain text TXT file.
The tool does not generate images, audio or video, does not save results automatically, and has no settings panels. It is important to understand from the start: you are working with a text draft that you then refine yourself.
The model may make errors, and service availability and request queue may vary. Therefore any fact from the answer should be verified against a reliable source, especially if the topic is related to medicine, law or finance.
Example request: 'Explain how photosynthesis works.' Audience: 'Children 11–12 years old, no prior knowledge'.
How to formulate a request in the 'Your text or idea' field
The more specific the idea, the more useful the explanation. Instead of 'Tell me about gravity', write which specific aspect is important: 'Explain Newton's law of universal gravitation, show the formula and give a everyday example.' The tool does not guess nuances, so key details are better indicated directly.
If the topic is broad, break it into parts and generate an explanation for each part. For example, for the topic 'inflation' you can separately request causes, consequences and ways of measuring. This way you get a more manageable text that is easier to check and edit.
It is useful to decide in advance whether the answer needs a term, a formula, an analogy, or a step-by-step breakdown. This can be indicated in the request text in plain words — there are no special switches in the interface.
Instead of 'explain blockchain': 'Explain how blockchain ensures data immutability, for a person who has heard of bitcoin but does not know technical details'.
How to set the audience and experience level
The 'Audience or experience level' field controls the depth and style of the explanation. Indicate not only age but also context: 'first-year students, familiar with the basics of physics' or 'adults without technical education'. This helps select analogies and avoid unnecessary jargon.
If the answer turns out too complex, simplify the audience description. If it is too superficial — add details: 'specialists, need precise formulations and practical examples.' The same field can be rephrased and the result generated again.
The tool does not save request history, so successful variants should be copied immediately into your document. This will avoid repeated generation.
Audience: 'Adults, not familiar with physics, need an analogy from everyday life'.
How to evaluate the example and comprehension check
The example in the answer should be understandable specifically to your audience. If it is abstract, refine the request: ask for an example from everyday life, from practice, or from a familiar situation. For example, when explaining pressure you can ask for an example with a pump or with skis.
The comprehension check is a short question or task in the text, not an interactive test. It can be used for self-checking, for class discussion, or as a basis for your own question. If it does not match the level, change the audience or add a request to include an application question.
Do not expect the comprehension check to be perfect from the first time. It is a draft that you adapt to your needs.
Comprehension check example: 'Why does a ball thrown in the air return to the ground?'
How to edit the text after generation
The generated text can be edited manually: cut unnecessary parts, add your own explanations, change the order of paragraphs. The tool is not intended for a perfect result on the first try, its task is to give a foundation.
If you need to explain several related terms, generate separate requests and combine the best parts. Each generation is independent, so do not expect the tool to remember previous context.
Do not try to force the tool to do what it cannot do: create a presentation, narration or video. Work within the text format and your own tasks.
After generating an explanation 'what is inflation' you can add your own examples from news and statistics.
Limitations and fact-checking
The tool may contain errors, especially in specialized topics. Always verify facts against reliable sources. Do not rely on the output as the final truth.
If the topic is related to finances, health or law, remember: the explanation is for educational purposes and is not a personalized recommendation. Do not use it for decision-making without consulting a specialist.
Technical limitations: no export to DOCX or PDF, no batch processing, no automatic saving, no integrations and no direct publishing. Available: copying and downloading in TXT. The model may make errors, and the queue and availability of the service may vary.
If the tool claims that 'antibiotics treat viruses', this is an error — check in a medical reference.
Example of iterative improvement
First request: 'Explain how a solar panel works.' Audience: 'Adults without preparation.' The result may be general. Refine: 'Explain how a solar panel converts light into electricity, for adults without technical education, with an everyday example.' Audience: 'Adults, not familiar with physics.'
The second result will be more specific. Check the example: if it is about photons and electrons, it may be worth simplifying. Add to the request: 'use a water analogy.' Generate again.
This way you refine the result to the desired level. The main thing is not to expect an ideal result on the first try and actively participate in the process.
Final request: 'Explain how a solar panel produces electricity, for adults without preparation, with an analogy from everyday life and a question for comprehension check.' Audience: 'Adults without a technical background'.
Refining the result in the Topic explainer tool is an iterative process. Refine the input data, check the example and comprehension check, adapt the text, and always verify facts. Remember the limitations: no export to complex formats, no automation, possible errors. Use the tool as an assistant for creating explanation drafts, but not as a replacement for expert review. Following these steps, you can obtain more accurate and useful explanations for any audience.
Open tool: Topic explainer ↗Interface translations are machine-assisted and may need refinement.