Layer | Data Sources and Media Automation

[1] What is it? Every weekday—a breakdown of one AI feature within a real-world product: what problem it solves, how it’s designed for the user, and how it could be improved.[2] The problem AI features are emerging faster than we can truly understand them. Knowledge about the UX of AI products is scattered and often in English, and Russian-language channels tend to discuss AI as a designer’s tool, rather than as a product itself.[3] The goal To make the task of «adding AI to an interface» no longer daunting: readers will see how real products have tackled this challenge, and they will learn to distinguish between a successful pattern and a flawed one.

[1] Target Audience student or junior, product designer, product manager, AI startup founder

[2] Channels Telegram channel and Russian pattern web library

[3] Content Segments daily breakdown, pattern of the week, AI in photography, failure analysis, carousel, video, audio, quiz

[4] Half-Year Goal 1,500 subscribers and 120 analyzed cases in the library

Six source groups. The first four provide signals and context, the fifth offers texture which I gather myself, and the sixth is reader feedback.

For each group, it is predetermined what it provides, in what format it arrives, how often it is updated, and who processes it.

The analysis proceeds in seven steps. The system collects and processes the data, the individual selects the topic, verifies the facts, and makes a decision.

Rules governing the operation of the editor’s aggregator, classifier, and AI assistant. If a rule is violated, the entry will not proceed.