This tells us that the era of streaming cast-dev of any business ideas and/or offers from business has arrived.

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As they sang in one song from an old movie, "decide for yourself, to have or not to have..."

Another example is a communication project to maintain contact with customers through a CRM mailing channel, where the task was to stimulate visits to stores on the eve of holidays, when the audience is trying to organize a pleasant table for themselves to meet guests or observe a family tradition.

With the help of the neural georgia whatsapp resource chat network Jasper, stories were invented in the context of "what was it like in childhood?", and the networks Midjourney and Lexica helped to create photographic images that we formed based on requests created from the contexts that the chat formulated. As a result, we combined this in the form of a technical task for the designer and layout designer, and they presented it in the familiar format of mobile stories and published it on the mobile landing page, to which they drove traffic from mailings.

The involvement was very high, and the total production time took about 4 days, and the longest stage was the layout, as it was done manually. Obviously, when this stage is also qualitatively replaced by the work of the network, the time costs will be reduced by another 3-5 times.


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When talking about gamification as a sustainable mechanic for attracting audience attention to business processes and products, the influence of neural networks and artificial intelligence simulations in the form of interlocutor characters is also an inspiring area for experimentation.

For example, we started by formulating scenarios for casual games with the integration of our products there. ChatGPT helped to create many alternative scenarios based on the basic one, and now we have a whole plan on how to implement them on the created brand gaming platform.

During the development, we were assisted by a creative agency that created illustrations, icons, and sound samples. In the end, some things turned out well, and some did not meet our expectations, so due to lack of time, we decided to use neural networks for alternative generation of sounds and illustrations. In the end, we chose neural network options, as they were brighter, tastier, fresher, and more original. Thus, we got a mix of human products and neural networks, which gave a very interesting emergent result.

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