Chat Summary
1. Problem with Content Generation
Current CMS systems and AI generators often work independently for each text field, resulting in a lack of consistency. Users still have to come up with the structure and content of a page, making the creation process lengthy. In practice, AI in these systems is more of a marketing buzzword than actual support.
2. A New Approach to Content Generation
The proposed solution envisions AI managing the entire content of a website or brochure as a single, logical entity. The context of previous sections would be retained and used for subsequent pages, ensuring message consistency. This way, users receive real assistance in crafting well-thought-out and effective content.
3. Tool Structure
The interface could consist of two columns – one for a chat with the AI assistant and the other for the content editor. Sections added to a flyer or website would be structured like social media posts, with options for text, images, and later automatic styling. In the future, AI could also generate a visual layer based on the entered content.
4. User Benefits
The system would significantly reduce the time needed to create content, eliminating the need to manually arrange all elements from scratch. Users would be guided step by step – from the general vision to the structure and final fine-tuning of details. This approach could reduce the need for marketing agencies and make the process more accessible for small businesses.
5. Easier Implementation and Development
In the initial phase, a basic editor with an AI assistant could be introduced without advanced AI integration. In the next step, a more sophisticated AI model could be added, assisting not only with writing but also with adjusting the graphic style. Thanks to its modular design, the system could be gradually developed, minimizing initial costs.
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Here is the demo form last part of 2023, on how the two collumns design could look like, even on mobile devices.
https://youtube.com/shorts/ZrJbNRWL25I?si=8m6p47CG-gxv8XQe
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Yes, this approach significantly reduces costs and shortens implementation time. Instead of building a dedicated assistant from scratch, we use existing AI models (e.g., ChatGPT) and customize them through:
1. Configuration prompt → Sets the direction of the conversation, suggesting topics aligned with the format (business card, flyer, brochure, etc.).
2. Dynamic data from the database → ChatGPT retrieves context (e.g., company name, industry, website purpose) and guides the user step by step.
3. Chat-like interaction → Instead of complex forms, the user "talks" to the AI, making the process more natural and intuitive.
4. Automatic linking → No need to manually set up the structure – the assistant suggests links, such as "You can add a link to your product catalog here."
Thanks to this:
✔ We don’t need to develop our own AI model – saving time and money.
✔ No need to build a complex interface – a simple chat column next to the text editing field is enough.
✔ Easy adaptation to different industries – the prompt can be edited without changing the system’s code.
This is a practical and scalable solution while being budget-friendly. If further customization is needed, it can be done gradually.
Does this approach work for you?
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Yes, this is crucial – we have the structure, we know that it can be done, and how to manage it through the API. The details of the interaction with the assistant are a matter of UX and refining the specific flow of the conversation.
A good idea is to subtly introduce the assistant, for example, after a user has made an entry, it could gently suggest corrections, ask if the user wants to add something, or offer inspiration for the next informational block – but without being intrusive. We can also test different approaches to see what works best.
The important thing is that we have the flexibility and ability to tailor the interactions to the users' needs.