Synergy: GPT.Synergy AI Editor

The main articles are:

• Speech Recognition (Technology, Market)
• Speech technology: On the path from recognition to understanding

2025: GPT.Synergy Editor Introduction

Synergy University on April 1, 2025 introduced the GPT.SYNERGY editor, which allows you to automate the process of creating content, analyzing trends and adapting texts to specific user tasks.

According to HubSpot research, as of April 2025, more than 64% of companies already use artificial intelligence to create content, and 85% note an increase in the effectiveness of marketing campaigns due to its implementation. But these high rates gave rise to a new problem - the monotony of texts generated by the neural network. Often, materials created by artificial intelligence turn out to be superficial and repetitive, contain a large amount of "water." This development of Synergy solves this problem.

The GPT.SYNERGY platform not only compiles data from the Internet, but analyzes top sources, builds a logical structure and adapts content to specific tasks: SEO optimization, promotion of multimedia content or creation of a business report. The system also avoids dry, robotic formulations and is able to add creative expressions with which it was trained on the material of scientific articles and fiction.

We support the introduction of modern technologies that allow employees to reduce the time spent on routine tasks in order to shift the focus to creative ones that the neural network cannot cope with. The introduction of an AI editor into the work of the company accelerates the work of a number of departments and opens up new opportunities for the development of projects, "said Vadim Lobov, President of Synergy Corporation.

The AI editor includes five key stages:

• parsing (data collection from 10 different sources and information analysis);
• developing a text structure (the user can change it, but in 80% of cases the system offers the best option);
• Material generation (creation of interesting and creative texts)
• check for uniqueness (if it is below 90%, the system recommends adding new sources);
• auto-hosting articles on resources connected to the service.

Despite the voluminous process, the response to the user's request is generated almost instantly, after which the material is suitable for publication on different resources.

Developing our editor, we focused on the quality of materials prepared by the neural network. AI editors writing "water" are full on the Internet, and there are only a few really worthwhile solutions. To solve this problem, we added functions for deeper analysis of information and sources, and also trained the model in non-standard speech turnover in order to revive the text, "said Artem Aksyanov, director of the web development department at Synergy University.