Prompt Enhancer

Improve your prompts to receive
more accurate responses from an AI assistant.

Your assistant for perfect prompts

Prompt Enhancer is your assistant for writing detailed and structured prompts for  LLMs. To improve the quality of responses from a chatbot, simply enter your request and the application will optimize it for your task.

Problems of ALL models

LLMs are capable of performing many tasks, answering your questions, reasoning, generating ideas, writing code, and creating images. But they are also prone to hallucinations and errors.

Hallucinations are cases when a model generates unreliable, fictitious, or distorted information, and also does not follow instructions.

Causes of LLM hallucinations

Limited data

The model draws conclusions based on incomplete or outdated information.

Inaccurate query

If the query is formulated unclearly, the model may invent details at its own discretion.

Specifics of how LLMs work

LLMs operate based on probabilities rather than factual knowledge. They cannot critically verify the reliability of information and tend to “fill in” missing information.

How to minimize LLM hallucinations

Check the facts

If the information is important, it is better to specify it directly in the prompt so that the model does not invent it.

Formulate the prompt clearly

The more specific the query and the more context provided, the more reliable the result.

Add clarifications

Phrases like “answer only if you are sure,” “double-check yourself,” or “if you don’t know, say so” help reduce hallucinations but do not eliminate them completely.

Everything affects the model’s response — every word, even a comma. Sometimes a neural network starts hallucinating, but the number of hallucinations can be reduced with a good prompt. Give it more specific information in the query — and it will focus on what it does best: writing coherent text.

What does an ideal prompt look like?

Prompt

A query or instruction for an LLM. In it, you explain to the language model

what exactly you want to receive and in what form. The prompt determines how the LLM will behave

and what it will answer you.

How to work with a prompt:

• Query formulation. Define what needs to be done and compose a prompt: set the model’s role, the task context, and the desired response format.

• Testing. Run the prompt and see what the model outputs.Analysis. Check how well the result matches the task: accuracy, completeness, and the required style.

• Improvement. If necessary, improve the prompt: уточни инструкции, add examples, or adjust the format to improve the result.

You can apply this approach to writing every prompt in a chatbot. Or you can use our service, and it will optimize your query in a few seconds.

Original prompt

Optimized prompt

Who is the service intended for?

• I am a beginner and know nothing about LLMs
• I do not understand the topic of the query well
• I am an experienced user with complex tasks
• LLMs give me incomplete or low-quality answers
• I often use LLMs

Nothing extra: prompt improvement with one button

• Free and fast;
• no registration or authorization required — instant results;
• no API key required;
• Special built-in technology for query improvement;
• nothing extra in the interface.