Media focused on independent styling, vintage aesthetics, and personal style. The main objective is to teach students how to see the potential in objects, experiment with combinations, and develop their own visual language.

Machine Processing Includes:Gathering and systematizing information about vintage shops, thrift stores, and resale platforms.Sorting found items by categories: clothing, footwear, accessories, materials, colors, and styles.Collecting and structuring information on fashion trends and popular visual directions.Analyzing publication statistics: views, reach, reactions, shares, and subscriber growth.Using AI to generate ideas, compile thematic selections, and draft written content.Assisting in creating a content plan and organizing visual references.

Human processing involves:Selecting the most compelling items, images, and visual references.Assessing the relevance and applicability of the stylistic solutions found.Analyzing combinations of colors, textures, silhouettes, and proportions.Developing original concepts for styling and photography.Preparing editorial materials, writing, and editing copy.Verifying information regarding stores, products, and recommendations.Evaluating audience response and making decisions about future content development.

Information Gathering. The editorial team researches fashion media, social networks, Pinterest, vintage shops, and resale platforms, collecting references, ideas, and information about new finds.Data Processing. The information is systematized in a central database: items are sorted by category, references are saved by theme, and publication statistics are gathered for later analysis.Editorial Curation. A human evaluates the found materials, selects the most interesting items and ideas, and determines their fit with the media’s concept.Content Creation. Based on the collected information, texts, visual compilations, outfit breakdowns, and ideas for stylistic shoots are developed. AI can assist with drafting and generating ideas, but the final presentation is curated by the editorial team.Publication. The finished materials are finalized and posted on the Telegram channel.Results Analysis. After publication, views, reactions, shares, comments, and subscriber growth are studied. The data obtained is used to adjust the thematic plan and select future topics.Summary: Information travels from the search for visual references and interesting finds through editorial selection, original content creation, publication, and audience reaction analysis.

Google Sheets — Data Storage and OrganizationIt is used to create a unified database of vintage shops, secondhand stores, and interesting finds. The spreadsheet records the store name, link, product category, geography, assortment features, and editorial comments. It can also be used to maintain a database of publication ideas and a content plan.2. ChatGPT — Text and Idea GenerationIt helps generate publication ideas, develop thematic columns, create plans for stylistic experiments, prepare text drafts, and edit materials. It is also used for structuring information and finding new approaches to content delivery. All materials are reviewed and refined by the editor.3. Pinterest — Visual Reference Search and OrganizationIt is used to search for inspiration, stylistic solutions, color combinations, textures, and ideas for original photo shoots. It allows for the creation of thematic boards and the formation of visual directions for future publications.4. Figma — Visual Content DesignIt is used to create covers, cards, collages, selections, and visual breakdowns of looks. It helps maintain a consistent visual style for the Telegram channel.5. Telemetr — Telegram Channel AnalysisIt is used to track publication statistics, views, engagement, and audience dynamics. It helps determine the most in-demand topics and assess content effectiveness.6. Telegram — Publication and Audience InteractionThis is the main platform for content distribution. It is used to publish text and visual content, conduct polls, gather feedback, and analyze subscriber reactions.

For automated tools to assist the editorial team rather than diminish content quality, the following guidelines must be observed.

1. Factual Accuracy. All information regarding shops, products, brands, and venues must be verified through primary sources. Publishing unverified links, prices, addresses, or item specifications is prohibited.

2. Data Timeliness. Before publication, you must verify whether the item is currently available for purchase, if the shop is operational, and if any visiting or ordering conditions have changed.

3. Unified Storage Format. Information about shops and finds must be entered into the central database using established parameters: name, category, link, description, price (if known), key features, and verification date.

4. AI Content Oversight. AI is to be used as an assistant for generating ideas and preparing drafts, but it does not replace the editor. All final texts must be checked for accuracy, logical coherence, and alignment with the media’s concept.

5. Preservation of Authorial Style. Publications must reflect the media’s visual sensibility and unique approach. Generic descriptions of clothing, cliché recommendations, and uniform selections must be avoided.

6. Original Visual Content. When creating collages, selections, and references, copyright must be considered, and image sources must be cited when required. Priority should be given to original photography, styling, and shoots.

7. User Data Protection. When working with photographs, looks, and subscriber inquiries, consent must be obtained to use materials in publications, and personal information must not be shared with third-party services unless necessary.

8. Publication Control. Automated services can assist in gathering information, analyzing data, and preparing materials; however, the final selection and publication must only occur after editorial review.

The foundation of our media work is a synergy between automated tools and human expertise.

Automation facilitates faster information retrieval and systematization, trend tracking, visual reference gathering, and statistical analysis. Humans are responsible for curating interesting discoveries, developing a distinct authorial perspective, creating stylizations, fact-checking, and defining the media’s editorial character.

The core principle is this: technology helps locate and structure information, but it is the human element that transforms it into a compelling visual and editorial product.