De-AIing: a service that humanizes AI-generated text and creates new job opportunities

What is De-AIing?

De-AIing is the process of reviewing and adapting AI-generated text to make it sound more natural, specific, and tailored to the target audience. This involves reorganizing arguments, replacing generic expressions, varying sentence structure, verifying data, and restoring the author’s original voice.

The goal is to eliminate redundancies, include relevant details, and give the text a rhythm that matches the publication’s context, without creating false information when data is missing.

Why could this service become a business?

Companies, agencies, freelancers, and content creators use AI to speed up content production. The larger the volume of text, the greater the need for professional editing to maintain quality, consistency, and brand identity.

This demand creates opportunities for writers, journalists, editors, and marketers who can combine writing skills with AI tools. Services may include article editing, adaptation for different channels, tone standardization, and creation of editorial guides for teams.

Payment can be per text, per project, or through a recurring contract. To stand out, professionals must demonstrate the added value of editing: clarity, accuracy, consistency, and audience relevance.

Humanizing text is not about bypassing AI detectors

Some in the industry confuse humanization with trying to make text pass through tools that detect AI-generated content. In July 2023, OpenAI removed its text classifier due to low accuracy, and subsequent studies still show differences between tools and risks of incorrect classifications.

A positive result from a detector does not guarantee human authorship, just as a warning does not prove AI was used. Editing text solely to change its classification can harm quality without solving the main problem.

The most consistent work improves communication and respects authorship and transparency rules applicable to each project. For those interested in this field, the path is to develop editorial expertise, learn to evaluate AI-generated text, and build a portfolio with before-and-after examples.

Practical training to work with generative AI

Professionals who already use AI at a basic level and want to apply it more strategically can take a short course. The program offers hands-on classes on tools like ChatGPT, Claude, and NotebookLM, as well as techniques for independent research, document analysis, and custom agent creation.

At the end of the course, participants receive a certificate of completion and gain 30 days of access to Inner AI Pro, a paid platform with over 50 tools. The reported investment for the program is R$ 37.