seo

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.

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.