1. Media Project Description
«THE UNSEEN» is a media platform exploring the things we do every day, but rarely understand how they function.
This project explores familiar objects and everyday technologies, explaining the principles of their operation and the reasons behind their specific design. Each piece begins with an object familiar to the reader and gradually unpacks its history and connection to a broader system. Main Platform: Telegram. Format: illustrated investigations that explain mechanisms and short publications about everyday objects. Goal: to make visible the non-obvious decisions that define the design of familiar things, and to teach the reader to notice them independently.More details on the concept are developed in Assignment No. 1.
1.2. The Role of AI
AI will be used to research object details, process technical materials, and prepare drafts that an editor can transform into clear, illustrated studies.
Core objectives of AI:
1. Analyze audience inquiries and propose topics for new research.2. Find and systematize information about the structure of the chosen object.3. Correlate data from technical documentation and historical sources.4. Formulate the research structure, sequentially unveiling the object’s characteristics.5. Create drafts of publications for Telegram.6. Suggest options for diagrams and illustrations that explain the object’s operating principle.7. Adapt finished research for short video clips.
AI does not replace the editor or autonomously decide on publication. Its primary function is to process information and prepare materials that undergo subsequent review.
2. Data Sources for Media
To prepare its research, «THE UNSEEN» utilizes several types of sources. Each one reveals a distinct aspect of the subject under study.
1. Audience Questions and Observations Comments, surveys, and subscriber feedback help identify which aspects of everyday objects pique curiosity or seem illogical. For instance, a question about why a plastic bottle bottom has five ribs can serve as a starting point for investigating its structure.2. Technical Documentation Manufacturer manuals, technical specifications, standards, and patents are used to study the design and operational principles of objects. Such sources are particularly vital when explaining mechanisms that cannot be observed externally.3. Scientific and Educational Materials Articles, research papers, and specialist publications help explain the physical and technological principles underlying conventional designs. For example, when preparing a piece on the operation of automatic doors, information about motion sensor principles can be utilized.4. Historical Sources Archival photographs, patents, museum collections, and publications on technology history help trace how an object’s design has evolved and why certain solutions became prevalent.5. Own Media Archive Previously published research and reader comments are used to find related topics, eliminate repetition, and refine information. For example, a piece on contactless payment might form the basis for a subsequent study on the design of a transport turnstile.
2.1 Information Selection Criteria
Not all found information is suitable for publication. Before use, the editorial team verifies its accuracy and relevance to the research topic.
Key Criteria:Provenance: Is the author or organization providing the information known? Veracity: Is the information supported by technical documentation or other reliable sources? Timeliness: Does the information relate to the contemporary design of the object or to its historical version? Applicability: Is the description suitable for a specific type or model of the device? Clarity: Is the information sufficient to clearly explain the mechanism?Particular attention is paid to the distinctions between the constructions of similar items. For example, the mechanism of automatic doors may depend on the type of sensor used. Therefore, the operating principle of one model cannot be automatically applied to all others. If the information is not verified, it is excluded from the material or sent for further review.
3. Data schema with human and machine processing separation
The publication preparation process consists of eight sequential stages.
Editorial Process Flowchart
- Gathering audience questions and selecting the research subject—human and AI.
- Searching for and systematizing sources—AI.
- Verifying accuracy and selecting facts—human.
- Forming the research structure—AI.
- Preparing text and illustration concepts—AI.
- Editing and visual design—human.
- Approval and publication—human.
- Analyzing audience reaction—AI and human.
In this model, AI processes information and develops preliminary materials, while the editorial team is responsible for the veracity of the explanations and the quality of the final publication.
3.1 What Artificial Intelligence Does
Phase 1. Analyzing Audience Queries The AI processes anonymized comments and suggestions from subscribers, identifies recurring questions, and groups them by topic. Result: A curated selection of potential subjects, noting the features that interest the audience.Phase 2. Structuring Sources The AI analyzes provided technical documents, research papers, and historical materials. Information about the object’s structure, operating principles, and the origin of individual design choices is extracted. Result: A structured compilation of information, complete with references to the source materials.Phase 3. Shaping the Research The AI organizes the collected information into a sequence accepted within the media. First, a familiar subject to the reader is presented, and then its mechanism, the origin of its design, and its connection to surrounding systems are explored. Result: A research outline with defined semantic blocks.Phase 4. Generating Text and Visuals Based on the selected data, the AI prepares a draft publication, suggests card layouts, and describes the images needed to explain the mechanism. Result: The research text and preliminary visual assets.Phase 5. Feedback Analysis After publication, the AI groups reader comments, determines which explanations prompted follow-up questions, and suggests related topics. Result: Recommendations for refining published research and developing new content.
3.2 What the Editorial Team is Responsible For
1. Topic Selection The editor determines if the subject aligns with the media concept and if it possesses enough non-obvious qualities to merit a separate feature.2. Source Verification The editor verifies technical and historical details, cross-references claims with primary sources, and excludes unverified information.3. Text Editing The AI-generated material is reworked to conform to the media’s style. Complex explanations are simplified without losing meaning, and secondary details are omitted.4. Visual Development The designer verifies the accuracy of diagrams, selects appropriate photographs, and formats the cards within the project’s cohesive visual system.5. Publication Approval The editor assesses the finalized material and makes the final decision regarding its placement in Telegram.6. Research Updates If new information emerges or errors are discovered, the editorial team revises previously published content.
3.3 System Example
Topic: «Why Does a Plastic Bottle Have That Kind of Bottom?» Let’s examine the process of preparing one publication.Step 1. Audience Inquiry A subscriber asks: «Why does the bottom of a soda bottle look like a flower instead of being flat?»Step 2. AI Analysis The system identifies the object of study and formulates related questions. How does the base shape affect the bottle’s stability? Why does it differ across various packaging types? What design requirements determine its shape?Step 3. Editor’s Decision The editor selects the topic and defines the main focus of the research. The material must explain why the distinctive shape of the base is related to the operating conditions of a plastic bottle.Step 4. Source Material Review The AI organizes the provided technical documentation on PET bottle construction and packaging molding features. The editor verifies the information and clarifies the differences between bottle types.Step 5. Content Drafting The AI generates a research draft. The publication begins with a photograph of a familiar bottle, then explains the structure of its base and demonstrates the problems such a design solves. Photos of the bottle from below and a schematic cross-section of its base are suggested for visual support.Step 6. Final Review The editor checks the technical explanations, removes unverified claims, and approves the final text. The designer prepares the illustrations and text cards. Result: A complete publication for Telegram, after which the reader can view the construction of an ordinary plastic bottle in a new light.
4. Guidelines for Automated Services
All AI services used in preparing the materials for «THE NON-OBVIOUS» must adhere to unified requirements for information processing and publication creation.
4.1 General Guidelines for Working with Information




