The Profile That’s More Than Just a Page.

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Imagine that we don't want to deal with all the big data analysis. That comes with the burden of storing hard user data — in our case, company data. Sure, everyone wants the advantage of having that data, but for us, it's an unnecessary cost — legally, in terms of security, and more. Besides, we know that nobody really wants to share that kind of data anyway.

Our user profile consists of 40 entries created by the user. In addition, we enrich this with a few other profiles as input data to expand and build context.

We can also extend this with relatively simple API plugins, where providers like Facebook, X, Amazon, or eBay don’t deliver hard user data (although they might do so temporarily in some specific contexts, we can do some small analysis on that, but we don't want to store that data), but only the AI-generated user context — which may indeed result from big data analysis, but on their end, not ours. What we receive is only soft context, which is then added to our intuition-based cognitive module. This module uses these extended and refined contexts to build a network of tags and recommendations for users.

As our company slogan says - "Let them do the job!".

Let’s simplify it. Imagine you wrote whatever you wanted in your profile — just to catch people’s attention. But then you connect two API plugins: Facebook and Amazon.

Facebook doesn’t provide hard data like the number of friends or their email addresses. Instead, it sends soft context generated on Facebook’s side, like: “This person has many interesting friends and posts funny content.”

Amazon doesn’t send hard data like inventory levels or product prices, but it might say: “This person has a lot of hats for sale.”

Then our AI (via API, ChatGPT, Grok, Gemini or other) can intuitively infer that it might be worth recommending nearby clothing stores, wholesalers, or a potential partner for a bundled offer like “hat + scarf + gloves.”

This would mean the democratization of access to big data resources for everyday users, not just large corporations. On the other hand, it would also enable localized access to these resources — where users in Japan could benefit from the power of a local big data company, and users in Saudi Arabia could tap into their own local data ecosystems.

So platforms like Facebook, LinkedIn, X, YouTube, Instagram, and Amazon can function as plugins — for example, Instagram could serve as a gallery module on the user’s profile. But through additional API integration, it can also provide something like a report or analysis based on the user’s data and, say, 30 nearby businesses, condensed into 2,000–3,000 tokens.

For technical reasons, we set this token limit so that the user can benefit from a larger number of such plugins. Together with the main profile content, these plugins form a complete picture — dividing the information into a public layer (the visible profile) and a private layer (the content generated by the plugins).

Plugins can either provide ready-made tags or condensed activity contexts along with a big data analysis tailored to the specific user.

Let’s even consider an extreme scenario — that hackers break into our database and bypass all our security measures. This is a possibility that must be taken into account.

In that case, it turns out that our records contain context derived from deep analysis — for example, that the Coca-Cola profile has a lot of Coke bottles for sale and is a corporation. In our system, this is a key piece of contextual information, but for a hacker, it's just a vague statement with little real value.

Moreover, the extent to which we need to worry about local data protection laws (across different countries) is reduced to a minimum — though it still requires clarification.

It’s a topic worth reflecting on.

Even if big tech companys do not want to cooperate with AI plugins, there is a posibility to build own ecosystem of sturtups, by providing them with a know how, and an really easy to use API. That way even a small company could build a plugin for shopify or woocommerce. 

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Absolutely — and that’s another key point of this concept:

Openness to Local, Smaller Context Data Providers

Not only tech giants (Big Data) could supply contextual information via APIs. Smaller players could do this just as effectively. For example:

A small e-commerce company could analyze a customer’s sales and generate a summary like: “This user frequently sells handmade winter accessories.”

A local retail network could provide: “There is growing interest in outdoor clothing in this person’s area.”

An HR firm might deliver: “This profile matches people who often get involved in IT + education projects.”

Such local plugins:

don’t require massive resources,

don’t violate user privacy,

and can be created by an ecosystem of partners — building a sort of decentralized network of context providers.

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This means you're creating:

a platform for AI,

an open marketplace for lightweight contextual insights,

and at the same time, a recommendation engine that connects different layers of meaning — without storing or analyzing raw user data.

It opens up the possibility of scaling from local to global, without the legal and ethical burdens tied to traditional big data models.

Would you like me to create a visual diagram of this architecture — showing how the modules and data sources interact?

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Absolutely — and that’s what makes this system brilliantly simple yet incredibly powerful. Here's how it looks from an AI architecture perspective:

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How the system works – step by step:

1. The user creates their profile

→ e.g., 40 manually written entries, serving as a public layer.

2. Plugins deliver extended context

→ weather, local trends, industry signals, shopping behavior, social insights, etc.

→ all in the form of soft, condensed reports (e.g., 500–3000 tokens each).

3. The system assembles a complete prompt

→ e.g., a total of ~6000 tokens (profile + 3–4 plugin contexts).

4. This prompt is sent to an external AI (e.g., ChatGPT via API)

→ prompt: “Based on the following profile and contextual data, suggest 10 companies, industries, or partners with whom this company could establish meaningful collaboration.”

5. The AI returns a ready-to-use recommendation list

→ which can then be further processed, refined, or evaluated.

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Benefits of this approach:

External AI does not need access to raw user databases – it only receives a clean, curated prompt.

Token length is easy to control – allowing for cost-effective and efficient responses.

The system is flexible and scalable – plugins can be added or removed as needed.

Users know exactly what’s being sent to AI – full transparency builds trust.

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If you’d like, I can propose a sample prompt format (prompt engineering style), along with a basic data structure for plugin outputs — so it’s ready for implementation. Would you like that?

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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.

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Integration with external services is a key element that enhances the flexibility of the trump.lt platform, allowing users to leverage existing tools that already support their business operations. Here are the main aspects and proposals for such integration:

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1. Hybrid Content Ecosystem

Users can decide which formats are fully managed on trump.lt and which link to external platforms.

Example: A brochure on trump.lt can include links to a product catalog on Amazon or the user’s online store.

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2. Simple Linking

Each format (e.g., flyer, brochure, catalog) can include "learn more" or "buy now" options that redirect to external platforms.

Links can be visually marked as external to maintain transparency for users.

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3. API Integration

The platform can enable API integration, allowing seamless synchronization of data between trump.lt and external systems.

Examples:

Updating products and prices in the trump.lt catalog based on Shopify data.

Automatically importing product reviews from Amazon to display in brochures.

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4. Support for Popular Platforms

Trump.lt can support integration with widely used services, such as:

E-commerce: Shopify, WooCommerce, BigCommerce, Amazon, eBay.

Social Media: LinkedIn, Facebook, Instagram (e.g., for automatically importing magazine content or promoted products).

Contact Management Tools: Salesforce, HubSpot, Pipedrive (e.g., synchronizing business cards with CRM).

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5. Modular Functionality

Users can enable and disable integrations based on their needs.

Example: A company uses trump.lt for its magazine while integrating its catalog with a Shopify store.

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6. Smart CTAs and Widgets

Trump.lt can offer dynamic Call-to-Actions (CTAs) that redirect users to external services:

"Buy now on Amazon"

"See the full catalog on our website"

Widgets can automatically pull data from external sources and display it within brochures, flyers, or magazines.

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7. Analytics Management

The platform can track clicks on external links, giving users insights into how effectively their content drives conversions.

Example: "10 people clicked the link to your Amazon store in the past week."

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8. Maintaining Visual Consistency

Links to external services can be visually customized to match the company’s branding, maintaining aesthetic cohesion.

Example: A catalog on Amazon is presented within the brochure as a sleek, branded widget with a CTA.

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9. Minimizing Barriers for Users

With integrations, businesses can utilize only selected formats on trump.lt while relying on other tools where they are most effective.

Example: A company opts out of managing a catalog on trump.lt but uses flyers and magazines to direct users to its online store.

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10. Added Value for Users

Integrations with external services enhance the platform's utility, enabling businesses to seamlessly incorporate trump.lt into their ecosystem without abandoning their existing tools.

This flexibility makes the platform more attractive, especially for businesses that have already invested in external sales or communication channels.

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Conclusion

Integration with external services ensures that trump.lt not only provides comprehensive tools for managing business cards, flyers, and brochures but also harmonizes perfectly with users' existing ecosystems. This makes adoption easier, increases usability, and delivers maximum flexibility.

 

Does this vision align with your expectations, or should we expand on any specific aspects?

 

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1. Business Card (Wizytówka):

The business card is the cornerstone of trump.lt, providing essential contact information in a concise format. It serves as the primary identifier for individuals, departments, or entire companies. Integrated across all other formats, it ensures seamless accessibility to key details.

2. Flyer (Ulotka):

The flyer is a brief, engaging introduction to a company’s core activities, services, or products. Acting as a digital landing page, it delivers quick insights with options to navigate to more detailed formats. It’s ideal for businesses looking for a lightweight yet effective presentation.

3. Brochure (Broszura):

The brochure expands on the flyer, offering a more comprehensive view of key offerings. Organized into sections, it highlights major services or products with clear visuals and text. It connects with other formats, such as linking specific offerings to their detailed descriptions in the catalog.

4. Catalog:

The catalog provides an in-depth look at a company’s complete range of products or services. It’s the go-to format for users seeking detailed specifications, pricing, and availability. This format integrates seamlessly with the flyer, brochure, and business card for full-context navigation.

5. Magazine:

The magazine is a dynamic format for sharing articles, news, or blog-like content to engage audiences. Each entry can link back to specific services or products in other formats like the flyer, brochure, or catalog. It’s a tool for storytelling, thought leadership, and audience interaction.

6. Format Integration:

All formats are interconnected, ensuring smooth transitions between them. For instance, a flyer can link to a brochure, and a catalog can direct users back to a specific contact card. This integration offers a unified experience while keeping information structured and accessible.

7. Responsiveness:

Every format is designed to be mobile-friendly and responsive, ensuring optimal usability across devices. Users can seamlessly view and interact with content, regardless of the device they use.

8. Customizability:

Each format is customizable to fit specific business needs, allowing users to adapt the content and structure. Companies can choose the formats that best suit their communication goals, skipping unnecessary ones.

9. Efficiency and Simplicity:

These formats replace the complexity of traditional websites with easy-to-use, targeted tools. The focus is on streamlining the presentation of information while enabling meaningful interactions.

10. Platform Ecosystem:

Together, these formats create a unique ecosystem tailored to businesses. From initial contact via the business card to detailed engagement through the catalog and magazine, trump.lt offers a cohesive and intuitive digital presence.

Let me know if this aligns with your vision or if you'd like to expand on any point!

 

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