Program for generating daily posts

"Program description for generating daily posts

Program goal:

To create personalized, informative posts for social media that combine relevant data about the target audience, news in the niche, expert knowledge, and audience queries. Posts are automatically generated daily and supplemented with thematic images.

Key components:

1. Customer avatar (audience portrait)

 - The system analyzes data about the target audience: their goals (studying the subconscious), fears (for example, "I can't control my emotions"), queries (practices for self-control).

 - Based on this, the style, tone, and focus of the posts are formed (motivation, explanation of theories, solving specific problems).

2. News module

 - Automatically collects current events, research, and trends in the fields of psychology, neuroscience, and working with the subconscious (for example, through RSS feeds, APIs of thematic sites).

 - Examples: new research on sleep and memory, meditation conference.

3. Expert knowledge base

 - Transcribed lectures, articles, and materials from the expert are transformed into a structured database.

 - AI highlights key ideas, quotes, and concepts for use in posts (for example, "how the subconscious influences decision-making").

4. Audience pain points

 - Frequent questions, comments, and topics raised by clients are analyzed (for example, "How to get rid of anxiety?", "Why do the same mistakes keep happening?").

 – This data adds practical value to the posts by addressing real queries.

How it works:

- Daily, the system combines data from all four sources:

 - Example: News about the connection between meditation and creativity (source 2) + expert quote about relaxation techniques (source 3) + answer to the question "How to stop ruminating on negative thoughts?" (source 4) + presentation in a motivational tone for an audience seeking self-control (source 1).

- The text of the post is generated, after which an image is added (for example, through a neural network like DALL-E based on keywords from the text).

- The finished post is published automatically or sent for moderation.

Technologies:

- NLP for analyzing expert texts and audience questions.

- Integration with news APIs and parsers.

- Generative AI (GPT for text, Stable Diffusion/DALL-E for images).

- Platform for automating publications (for example, Buffer, Hootsuite, or your choice).

Result:

Daily posts that:

– Solve specific audience problems.

- Combine expertise and relevant data.

- Appear personalized and engage subscribers.

For the developer: it is necessary to create modules for collecting/processing data from 4 sources, an algorithm for their combination, as well as integration with text/image generators and social networks."