{"id":183356,"date":"2026-02-18T21:04:18","date_gmt":"2026-02-18T20:04:18","guid":{"rendered":"https:\/\/liora.io\/en\/?p=183356"},"modified":"2026-02-18T21:04:18","modified_gmt":"2026-02-18T20:04:18","slug":"dust-what-is-it-how-can-it-be-used-for-prompt-engineering","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/dust-what-is-it-how-can-it-be-used-for-prompt-engineering","title":{"rendered":"Dust: What is it? How can it be used for prompt engineering?"},"content":{"rendered":"

With the proliferation of generative AI tools, mastering the art of writing prompts is proving more than essential. But at the speed at which artificial intelligence solutions are evolving, many users are feeling lost. That’s when Dust was born.<\/strong><\/p>\t\t\n\t\t

This prompt engineering<\/a> tool helps users not only to write relevant guided messages, but also to link them together. Find out more about Dust for prompt engineering and its features.<\/p>\t\t\n\t\t\t

What’s Dust?<\/h2>\t\t\n\t\t

Dust<\/strong> was born out of the realisation that AI is changing the way we work.<\/a> We can now save precious time on a wide range of tasks thanks to AI assistants.<\/strong> But we still need to know how to communicate our requests to them effectively.<\/p>

That’s where Dust, the secure, personalised AI assistant,<\/strong> comes in. Dust is particularly innovative for prompt engineering. This tool provides companies with a web interface to help them write prompts and link them together.<\/p>

Dust is certainly not the only prompt engineering tool, but its learning curve is exponential. This allows users to customise their results even further.<\/p>\t\t\n\t\t\t

What are Dust’s features for Prompt Engineering?<\/h2>
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At a time when artificial intelligence<\/a> is becoming an integral part of our lives, Dust brings together the essential features needed to manage AI tools effectively and take full advantage of them. Here are the main ones:<\/p>\t\t\n\t\t\t

A personalised assistant<\/h3>\t\t\n\t\t

Dust<\/strong> is primarily designed as a personalised assistant for businesses. The idea is to respond perfectly to the needs of employees.<\/p>

To personalise your assistant, you can deploy LLM (large language model)<\/a> applications built in Dust.<\/strong> To do this, you have access to a number of functions such as code extracts, Internet searches and data sets.<\/p>\n\t\t\t\n

Prompt engineering training<\/a><\/div><\/div>\n\n\t\t\t

Data sets<\/h3>\t\t\n\t\t

To train and customise your machine learning models, you need to integrate datasets with Dust.<\/strong> And thanks to APIs, it is possible to connect data from a complete technological stack, such as Notion, Google Drive, GitHub<\/a>, etc.<\/p>

By connecting all their data to Dust,<\/strong> companies can eliminate knowledge silos. And, above all, it enables the use of assistants that are aware of the global context and capable of adapting to the precise needs of organisations.<\/p>

And because it’s a secure solution, businesses can control access to data on a granular basis.<\/p>

Good to know:<\/strong><\/em>Dust supports several open source model providers, including OpenAI, Anthropic and Mistral.<\/p>\t\t\n\t\t\t

Dust and prompt engineering<\/h3>\t\t\n\t\t

In addition to these machine learning-based functions, Dust focuses primarily on prompt engineering<\/a>. Users can ask it a multitude of queries. For example:<\/p>