digital-marketing

How AI apps work

When you ask a question in an app, it might feel like you’re interacting with an expert who knows everything. In reality, there’s a structured process behind the scenes that organizes existing information into a useful response. Let’s break down how these apps work.

The journey begins when you type in your question. The app uses a Small Language Model to extract key terms from your query—essentially identifying the main ideas or keywords. These keywords are then used to perform a regular search engine query on platforms like Google or Bing. The search results are processed by the app, which evaluates summaries of the top 100 hits using another Small Language Model to rank the 10 most relevant pages.

Next, the app crawls the content of those 10 pages, pulling in the most relevant material. This content is combined with your original question to create a detailed context. Finally, this context is sent to a Large Language Model, which generates a polished response that feels complete and confident—almost as if the app itself “knew” the answer.

Though this process may seem intelligent, it’s simply an optimized way of finding, filtering, and presenting information. The system doesn’t actually “know” anything; instead, it mimics understanding by repackaging existing knowledge.

These apps provide a valuable service by streamlining searches. Instead of sifting through endless links yourself, they consolidate information into a single, user-friendly response. This can save time and help with tasks such as brainstorming ideas, summarizing research, or finding information quickly.

Still, there are limitations. The quality of the response depends entirely on the data available and how the app ranks relevance. It’s always worth verifying critical information, as the system may miss nuances or context that you’d notice when manually researching.

Ultimately, language model-powered apps are useful tools that make information easier to access and process. They don’t provide true intelligence, but they can be an efficient way to search, summarize, and communicate ideas. Use them for what they’re good at, and stay thoughtful when evaluating results.

The Future of Domain-Specific Apps: Who Will Shape the Landscape?

App developers are busy leveraging advanced tools, such as language models, to revolutionize the way they build domain-specific applications. These tools are helping improve coding, testing, documentation, security, and general software engineering processes, making app development faster, more efficient, and more reliable. Developers focus on creating scalable, secure, and technically robust applications that meet high standards and long-term needs. However, they often face challenges in deeply understanding the unique requirements and workflows of specific domains.

At the same time, domain experts are bypassing developers altogether to build their own applications. Equipped with deep knowledge of their fields and a clear understanding of what works and what they want, these professionals are creating solutions tuned specifically to their needs. They care about functionality and outcomes, not about how the underlying code is written. Thanks to the rise of user-friendly tools, such as no-code and low-code platforms, they can build apps quickly without relying on software development teams. While their solutions are practical and tailored, they can face limitations in areas like scalability, security, and technical refinement.

This divide between app developers and domain experts raises an important question. Who will take the lead in shaping domain-specific apps? Will app developers prevail with their technical precision and ability to scale solutions? Will domain experts win through their intimate knowledge of what matters in their industries? Or perhaps the future belongs to those who can do both—combining software engineering expertise with domain insight to bridge the gap.

The most promising path forward may lie in collaboration. When app developers and domain experts work together, they can create applications that combine technical robustness with tailored functionality. App developers can help build solid infrastructures, while domain experts provide the insights needed to create tools that truly solve practical problems. Another possibility is the emergence of hybrid creators—individuals skilled in both software development and domain-specific knowledge, capable of weaving together the strengths of both groups.

Rather than focusing on which group “wins,” the future of domain-specific apps is about leveraging the best of both worlds. Innovation will thrive when technical expertise and domain knowledge come together, ensuring apps can meet immediate needs while remaining scalable, secure, and impactful over time. The opportunities are immense, and success belongs to those willing to embrace collaboration or develop hybrid approaches that serve both technical and domain goals.

How to Design User-Friendly Apps by Testing in Challenging Conditions

When designing apps, it’s easy to assume users interact with them in ideal conditions: perfect lighting, full attention, and comfortable surroundings. But the reality is very different. People use apps while commuting, sitting outdoors, or in challenging environments—and some users may even have physical or visual impairments that affect their experience. Testing apps under these less-than-optimal conditions is a practical way to uncover flaws in usability and ensure your design works for everyone.

One way to identify problem areas is to simulate real-world challenges while trying to use your app. Try using it without glasses if you typically wear them or wear overly strong glasses to distort your vision. Place your face close to the screen and see how comfortable it feels to interact with your design under extreme proximity. These experiments can reveal whether your app supports users with varying visual needs and highlight areas where readability or functionality needs improvement.

Lighting conditions can also drastically impact usability. Lower the brightness on your screen to mimic usage in dim environments or test your app outdoors in direct sunlight, where glare makes viewing difficult. Another option is to enable a black-and-white or grayscale filter on your device and evaluate whether your app’s key elements remain functional and clear.

It’s important to consider how adaptable your app is to font and zoom changes. Shrink the text size or zoom out to test for readability when accessing compact displays or small screens. Then reverse this by enlarging the font or zooming in to check whether users with impaired vision can comfortably navigate your app.

Movement and accessibility challenges can offer additional insights. Try using the app with just one finger on each hand or only one hand altogether. This can mimic how your app might be used during multitasking scenarios, like holding onto a bag or steering on public transport. These tests also help highlight pain points for users with disabilities or limited mobility.

By running your app through these conditions, you’ll learn what works and what doesn’t, uncover pain points, and identify areas for improvement. Small adjustments—such as improving text legibility, tweaking button placement, or ensuring responsiveness to varying screen settings—can have a big impact on how user-friendly your app feels.

Testing under challenging conditions is more than just a design exercise; it’s an opportunity to build something adaptable, usable, and inclusive. Push your app to its limits during development and prioritize accessibility from the start. If it still works when you’re struggling to use it, then you’re on the right track to creating an app that will work for everyone.

A Practical Solution for Local Shopping and Service Searches

Finding specific products in local stores can often feel like an impossible task. Whether you’re looking for a niche item like black, 34 cm round chair cushions or something slightly out of the ordinary, there’s no straightforward way to figure out which store has exactly what you need nearby. Despite its dominance, search engines like Google have generally been poor at helping users discover local products and services—and they were never particularly good at it to begin with.

What’s missing is a dedicated service that makes searching for local products simple and efficient. Imagine a tool where every store could upload their inventory into an easily manageable catalog system, which they could keep updated with minimal effort. This would allow people to search for specific items and instantly see where they can find them locally, instead of wasting time going from store to store or trawling through irrelevant online results.

Such a service would be especially helpful for precise shopping needs that aren’t based purely on price or broad functionality. Sometimes you need something highly specific, like a particular size or design, and the usual tools simply don’t deliver these results. A focused local search tool could address this gap, empowering shoppers to save time while highlighting the unique offerings in their surrounding area.

It would also benefit local businesses tremendously. For smaller shops that might struggle to stand out against big retailers, this tool could be a game-changer. By connecting their product catalog directly to nearby customers searching for specific items, they could increase foot traffic and reach people who might otherwise have overlooked them.

In essence, the ability to connect people with local goods and services quickly and effortlessly would strengthen both shopping experiences and community ties. It’s time for a better way to search and shop locally—one that prioritizes both convenience and personal connection.

AI-Powered Blog Writing Agent

In today’s fast-paced digital world, consistently creating high-quality blog content is a challenge. Whether you’re a business, a marketer, or an individual looking to publish thought-provoking articles, writing takes time, effort, and creativity.

Our AI-powered blog writing agent is designed to automate, enhance, and optimize content creation—from ideation to publication—so you can focus on what truly matters: sharing valuable insights with your audience.

Key Features

Basic Capabilities

Our AI agent simplifies blog creation with intelligent automation:

  • Effortless Content Generation – Provide an idea, rough notes, an example post, a concept, or a vision, and the AI will generate a structured, well-written blog post. It can even include relevant images.
  • Flexible Writing Styles & Formats – Choose from different styles, including short teasers, long-form articles, press releases, visionary thought pieces, or technical breakdowns.
  • Smart Meta-Tagging – Automatically generates relevant tags, categories, and metadata to optimize searchability and SEO performance.
  • Seamless Publication – Offers full or semi-automated publishing, so you can review and approve or let the AI handle the entire workflow.

Advanced Capabilities

For those looking for more control, variation, and optimization, our AI offers powerful content evaluation and management tools:

  • Multi-Proposal Generation & Evaluation – Instead of producing just one draft, the AI creates multiple versions of a post and evaluates them, allowing you to select the best for publication.
  • Diverse Input Pipelines – Generate completely different blog posts around multiple topics and ideas, providing a variety of content options. This ensures you always have fresh and diverse articles to choose from, making it easier to maintain a dynamic publishing strategy.
  • Authoring Process Archive – Keep a detailed record of revisions and iterations for each post, enabling easy tracking of changes, content strategy insights, and future repurposing.
  • Smart Trash-Can Feature – Discarded posts aren’t lost—they go into a special archive where they can be analyzed for trends, revisited for future use, or evaluated for performance improvements over time.

Why Use This AI Agent?

With this AI-powered writing tool, content creators can:
✔ Save time and effort on writing and editing
✔ Generate multiple blog post options across different topics
✔ Improve content quality through AI-driven evaluation and selection
✔ Maintain full control over the publishing process

Whether you’re a business scaling content marketing, a tech writer streamlining production, or a visionary sharing new ideas, this AI agent enhances creativity, productivity, and content quality like never before.

Ready to Revolutionize Your Content Creation?

Try our AI-powered blog writing agent today and experience faster, smarter, and more effective content generation. 🚀