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Concept

Our media helps couples find interesting ideas for shared leisure and organize dates without the need to search for venues, study event listings, or plan the evening on their own.

The main goal of the project is to inspire our audience to spend quality time together, introducing them to interesting establishments, city events, and unique dating formats.

Key content areas: — Curated lists of interesting date spots. — Event and happenings listings in Moscow. — Unconventional ideas for shared leisure. — Ready-made date itineraries. — Reviews of establishments and recommendations.

Distribution Channel

Telegram — the primary platform for publishing materials; Instagram* — a supplementary platform for visual content and Reels.

*Instagram belongs to Meta, whose activities are recognized as extremist and are prohibited in the territory of the Russian Federation.

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Original size 1061x353

Data Sources

To create relevant and useful content, the media utilizes several groups of data sources.

  1. Information SourcesOfficial websites of restaurants, cafes, museums, theaters, exhibition spaces, and other urban venues. These are used to obtain information on addresses, pricing, schedules, events, and venue specifics.2. Event Listings and Aggregators — KudaGo—search for city events and unique happenings. — Afisha—information on cultural events, exhibitions, and entertainment. — Timepad—searching for events, workshops, and registered activities.
  2. Mapping Services and Reviews — Yandex Maps—addresses, locations, photos, operating hours, and visitor reviews. — 2GIS—establishment information, contacts, location, and infrastructure details.
  3. Social Media and User-Generated ContentVenue social media, bloggers, themed communities, and user recommendations. These are used to discover new locations, trends, and unique date ideas.5. Proprietary Media DataAudience survey results, comments, reactions, subscriber questions, suggestions, and user recommendations. This data helps understand audience interests and select the most relevant topics.

Data Processing Diagram

Media utilizes two types of data processing: machine-based and human-based. They complement each other, allowing editorial processes to become more efficient.

Machine processing involves the automated collection of information from digital sources, sorting establishments into categories, systematizing addresses, prices, and schedules, eliminating duplicate entries, gathering publication statistics, and drafting texts using AI.

Human processing requires verifying the accuracy and relevance of the information, evaluating establishments and events, selecting the most interesting locations, writing and editing original articles, preparing content compilations, and making publishing decisions.

The principle of division is as follows: the machine is responsible for speed, data collection, and structuring, while the human is responsible for quality, creative input, veracity, and alignment of the material with the media’s concept.

Initially, information is gathered from various sources: official institutional websites, city event listings, mapping services, social media, and user recommendations.

The next stage involves machine data processing: automated services assist in collecting, sorting, and systematizing the information, assigning venues to categories, eliminating duplicate entries, and forming a comprehensive database.

Following this, human processing is integrated. An editor verifies the accuracy and timeliness of the information, assesses the appeal of the locations, selects suitable options, and determines which align with the media concept.

After selection, content is created: texts are written, collections of places and date itineraries are developed, and visual materials are prepared. At this stage, AI can be utilized to generate ideas and draft outlines, while the final styling and approval remain the responsibility of the editor.

The completed materials are published on Telegram and Instagram. After publication, views, reach, reactions, comments, and saves are analyzed. The resulting data helps in understanding audience interests and adjusting the future content strategy.

In summary: the data goes through a process from collection and automated systematization to editorial review, content creation, and audience reaction analysis.

Automated services in media operations

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Google Sheets — data storage and systematization.It is used to create a unified database of institutions and events. The spreadsheet records names, categories, addresses, prices, operating hours, descriptions, and source links. This allows for information to be structured and updated in a timely manner.

ChatGPT — working with text and ideas.It helps generate ideas for publications, create themed collections, draft texts, edit materials, and develop unique date scenarios. All final materials are reviewed by an editor.

Canva — visual content design.It is used to create covers, cards, collections, posters, and other visual materials for Telegram and Instagram. It helps maintain a cohesive visual style across media.

Telegram — for publishing content and interacting with the audience.This is the primary platform for content distribution. It is used to publish materials, schedule posts, conduct polls, gather comments, and analyze subscriber reactions.

Guidelines for Automated Services

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

  1. Information Accuracy. All data acquired automatically or via AI must be cross-referenced with original sources. Unverified addresses, pricing, schedules, or visitation terms must never be published.

  2. Data Timeliness. Before publishing, you must verify that the establishment is operational, that prices and operating hours have not changed, and that event conditions are up to date.

  3. Unified Storage Format. Information must be entered into the central database using established parameters: title, category, address, cost, description, operating hours, and source link.

  4. AI Content Oversight. AI should be used as an assistant for generating ideas and preparing drafts, but it does not replace the editor. The final text must be reviewed and approved by a human.

  5. Preservation of Authorial Style. All publications must align with the media’s tone of voice: lively, friendly, contemporary, and inspiring. Texts should not appear templated or entirely AI-generated.

  6. Data Protection. When working with user inquiries and feedback, confidentiality must be maintained, and personal data must not be shared with third-party services unnecessarily.

  7. Control of Automated Actions. Automated services can collect, sort, and prepare information, but the publication of materials occurs only after review and approval by the editor.

Final media work model

At the heart of media work lies a combination of automated tools and human involvement. Automation allows for reduced time spent on information retrieval, gathering, and systematization, simplifies publication planning, and enables audience behavior analysis. The human element is responsible for editorial selection, fact-checking, creative presentation, and building trust in the media. The main principle is this: automation frees up editorial time to create high-quality, relevant, and engaging content—it does not replace human expertise.

Медиа «На двоих»
Project created at 02.11.2026