Media Concept
Neuro-Coffee is a B2B media and community hub for owners of small and micro-businesses (coffee shops, beauty salons, flower shops, auto services).
— Core Concept: Practical AI solutions free of IT jargon, presented in a «copy-paste» format.— Key Features: Absence of technical slang (API, deployment, prompting), mandatory savings metric in rubles for every post, and a focus on offline applications.— Platforms: Telegram channel (editorial), Telegram chat (community practice), Shorts/Reels/Clips (traffic).
Data sources for media
For uninterrupted operation, the media utilizes three data streams that originate both from outside and within the project scope:
- User Experience (User-Generated Content from Telegram Chat): Real-life case studies from entrepreneurs and marketers («How I saved 5,000 rubles on a copywriter»), successful prompt combinations, questions regarding current business challenges, and screenshots of generation results.
— External AI Trends and Releases: News and updates on neural networks (ChatGPT, Midjourney, Shedevrum, etc.) that are filtered and refined from technical noise by editors.
- Editorial Pattern and Template Database: An accumulated library of proven prompts, categorized by niche (beauty, food service, auto repair, retail) and standard tasks (negative feedback management, menu creation, content planning).
Data schema separating human and machine processing
All incoming data passes through a hybrid processing pipeline, dividing into humanistic (creative, expert) and computational (automated) levels.
Guidelines for Automated Services in the Scheme
To ensure that automation algorithms and scripts do not detract from the media’s positioning (where simplicity and the absence of jargon are paramount), strict technical and semantic regulations have been implemented:
- Lexicon Filter (Anti-Jargon Rule): Automatic text processing pipelines are configured with a stop-list. Terms like API, token, prompt engineering, deploy, parsing, template, and workflow are prohibited in generative instructions. They are replaced with: instruction, button, template, query, setup.
- Mandatory financial metrics block: No content block enters automatic layout without a calculated numerical field, economy_rub (savings in rubles). If the script cannot match the task to a financial equivalent (e.g., a straight news piece), the material is sent to the editor for manual refinement.
- Niche Tagging Protocol: Machine classifiers are required to apply strict category tags (beauty, food service, automotive, service) to enable entrepreneurs to quickly find the relevant templates in the database.
LLM Hallucination Control: When generating response templates or prompts for small businesses, it is prohibited to invent technical specifications that are unavailable in the basic versions of popular neural networks (ChatGPT, Shedevrum, Midjourney). Instructions must be executable in 2–3 clicks from a phone or a standard browser.
