How users can improve their use of ChatGPT and Gemini

Clearer prompts, relevant context and staged workflows can help organizations make more effective use of generative AI tools.

 


The expansion of generative artificial intelligence is shifting part of the challenge from access to these tools toward how users and organizations use them.


ChatGPT and Gemini have expanded access to capabilities for content generation and analysis, information searches, task automation and support for creative processes, at a time when both platforms exceed, according to figures from their respective companies, 1 billion monthly active users.

The reach of these tools does not in itself guarantee that users and organizations will make full use of their potential. The usefulness of the results depends, to a large extent, on how requests are formulated, the context provided and the way AI is combined with other digital tools.

Servinformación, a company specializing in technology solutions and digital transformation, identifies five practices to improve the use of generative artificial intelligence platforms such as ChatGPT and Gemini.

More precise instructions to guide results.

The way a request is formulated can determine the type of response obtained. A prompt can include the objective of the task, the context, the intended audience, the tone, the format and the restrictions that must be taken into account.

A generic request, such as asking for a sales report, can be replaced with an instruction specifying the need to prepare an executive analysis for a sales team, including the main findings, opportunities and recommendations.

The same logic can be applied regardless of the platform used: the clearer the objective and the expected result, the greater the likelihood of obtaining a response aligned with the need.

Context makes it possible to work with specific information.

Documents, presentations, spreadsheets, images and texts can provide reference information for carrying out a task, rather than relying solely on a general instruction.

For example, a user can attach a document and ask the tool to identify its main findings, compare two versions, extract specific information or transform the content into another format.

It is also relevant to indicate what the tool should do with each source and which information is a priority for the task.

This makes it possible to direct the tools toward a defined result through instructions and context, rather than limiting the interaction to general requests.

Roles, tools and tasks in stages.

Another practice is to ask the tool to adopt a specific professional role to establish the perspective from which it should carry out a task.

The same request can be approached differently if it is framed from the perspective of a financial analyst, a marketing specialist, a teacher or a business consultant.

Artificial intelligence platforms can also be integrated into workflows involving documents, spreadsheets and collaboration platforms, among other digital solutions.

The approach is intended to ensure that these tools do not operate in isolation, but as part of different stages of a process.

This combination makes it possible to use them to analyze information, organize content, transform data or prepare materials for different audiences, in addition to generating text.

When an activity requires multiple processes, another alternative is to divide it into several requests rather than trying to resolve it through a single prompt. Breaking down a task makes it possible to review the results of each stage and adjust the next step based on what was obtained.

In this way, the use of ChatGPT and Gemini can be structured around defined objectives, reference information and processes carried out in stages, with successive adjustments based on the results obtained.


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