How we use Ai in Our Jewellery Business

Artificial Intelligence (Ai) has changed how small businesses operate, but in our case, it has not replaced anything. It has simply allowed us to do more, faster, and sometimes better. At Titan Jewellery, we still write every word ourselves, photograph our own products, and develop our own tools. Ai helps, but it never leads.

This blog explains how we use Ai in very practical ways, not to cheat the process but to make more of our time. From writing blog posts and coding tools to editing photos and answering technical questions, Ai has become part of our toolkit. Used well it adds value; used lazily it offers little.

Why Prompt Writing Is the Real Skill

If you want to use Ai well, you must write a good prompt. This is not just about being specific. It is about knowing exactly what you want, what to avoid, and how to test the result. The UK government has published a useful article on Ai prompt quality that offers practical advice on crafting effective queries.

We often spend hours writing a single prompt. Then we refine it and adjust it slightly every time we use it. Writing prompts teaches you about your own work. It forces you to clarify tone, structure, audience, and goal. That awareness improves everything else you create, whether or not you end up using the Ai output.

Ai is not an easy way out. It is a demanding partner. But if you are willing to invest the time it can help you go further than you thought possible.

Why We Use Ai But Still Do It Ourselves

Everything we create starts with us. Whether it is a product description, a blog post, or a photo of a ring, the core is always done in-house. That will never change.

Ai helps us move faster, especially when we hit a block or need a second pair of eyes. For example, if we are stuck rewording a paragraph or fixing a bit of code, Ai can help us get unstuck. But it is not about handing over control; it is about removing friction from the jobs we already do.

We have seen others lean on Ai to generate entire blog posts, product pages, or marketing strategies. That kind of output often sounds generic and disconnected and it may be factually wrong. We avoid that by writing everything ourselves first. The time we invest upfront means we can use Ai more effectively later. If the input is strong the output improves. It is still our voice, our experience, and our ideas. We just use Ai to tidy them up.

Writing Our Content Not Letting Ai Write It

We do not ask Ai to write blogs for us. That would defeat the purpose of having real expertise and a voice our customer’s trust. We know our products better than any system can. Our posts reflect decades of experience, not just surface-level research.

When we finish writing a blog, we might use Ai to help check for repetition or long sentences. Sometimes it suggests clearer phrasing or shorter wording. That part is helpful, but it only works because the base content already has structure, tone, and meaning.

For example, if a paragraph includes two sentences that say roughly the same thing Ai can point it out. If a section feels clunky it can suggest a smoother order. But we choose which suggestions to use. Some we ignore, others we rework ourselves. This human-first process ensures the blog remains personal, informative, and accurate. It does not sound copied nor drift off topic and it does not say anything we would not stand by.

Even though we use Ai to help shape and refine our content, we always check the final result carefully. Each blog post is tested using online similarity tools to ensure we have not accidentally copied or matched anything too closely from elsewhere on the web. We also run the content through both Grammarly and QuillBot. This is not just for grammar or spelling but to make sure it still reads like something written by a real person.

That matters because it is. The ideas, experience, and voice are all ours. Ai just helps clean things up. The finished blog is still our own work, just better presented.

Using Ai to Refine Our Website Code

We write much of our own website code. This includes our product pages, layout tweaks, and interactive tools. In the past we relied on outside help for certain features. That often meant waiting days or even weeks to fix something small.

Ai now gives us the ability to solve many of these issues ourselves but only if we break the job into small manageable parts. At first, we tried feeding entire blocks of code into Ai. The results were often confused or broken. But when we started focusing on one section at a time, one function, one display issue, we found it much more useful.

For example, one day we realised we were spending 5 minutes each time we needed to write a new HTML anchor tag manually. That led us to build a quick HTML link builder tool. Type the anchor text, paste the URL, choose your options, and click generate. Within seconds the full tag is produced, ready to paste into a blog post. We created that tool using ChatGPT o4-mini in just a few hours. Now it saves us significant time every day. The tool is available on our website or can be embedded on your own.

This sits alongside our suite of Ai-written tools that we use internally and make available to clients and other businesses. These include our fingerprint cleaner, Morse code converter, engraving preview tool, and UTF symbol generator. Ai helps debug and refine the code, but the ideas and design remain ours.

Editing Photos In-House One Step at a Time

Product photography has always been one of our more difficult tasks. For large collections we still rely on professionals. A full shoot with 100 images needs skill, equipment, and consistency.

But what about just two or three new photos? If we have engraved a ring with a rare font or a custom message, we often want to feature it right away in a blog post or gallery. That is where Ai helps.

We use Ai alongside Photoshop to make those smaller edits in-house. The process is slow, but it is improving. For instance, if a photo looks too dark, we might ask Ai what adjustment to make in Photoshop. Then we apply that step, check the result, and feed it back in.

The back-and-forth helps us learn more about photo editing while getting usable images for today’s post. Ai becomes part of the workflow, helping us reach a result we would otherwise struggle to achieve without waiting days for an outside editor. This gradual improvement means we are building our skills while staying responsive.

Thumb ring image generated by Ai featuring our 2mm titanium ring

Creating Realistic Ring Visuals and Previews

Alongside real photos we also use Ai to create mock-ups and visual examples of our rings. These are not stock images or simulations. They are designed to match our actual products as closely as possible.

One example is a titanium thumb ring on a lady’s hand. We generate this using an image prompt based on the real product photo. The result shows the ring in a natural setting, helping customers imagine how it will look in real life.

Another example is a ring shown next to a digital vernier. In one version the vernier reads our phone number. This detail makes the image unique to us. You would not find it on any other jewellery site.

We also use mock-ups to test new engraving styles. If a customer chooses a font we have never engraved before we can preview the effect. Rather than photograph the ring immediately we create a realistic version using Ai and confirm the idea is worth pursuing.

How to take a fingerprint

Building Tools That Help Customers and Other Jewellers

One of the most valuable ways we use Ai is in developing interactive tools for both customers and other businesses. These include:

• The fingerprint upload and cleaning tool which lets users adjust brightness and contrast for clearer engraving
• The Morse code date converter which turns a meaningful date into dots and dashes for engraving
• The UTF symbol generator tool which previews special characters and fonts in the correct ring layout
• A handwriting cleaner which prepares sketches for engraving

We build these tools ourselves using JavaScript and HTML. The ideas and interface design are ours. But when a line of code behaves unexpectedly or needs to work across different browsers, we use Ai to troubleshoot. We then test, refine, and sometimes rewrite the code manually based on what we learn.

Several of these tools are also shared with other websites. We allow other jewellers to embed and use them, helping the wider industry while improving our visibility.

Would We Trust Ai to Run Our Business

A common question is whether we would allow Ai to run parts of our business. At this stage, the answer is no. Although Ai has been a great tool for us and we literally use it every day, we still do not trust it enough to automate processes.

We would not feel comfortable letting AI respond to customer emails or handle order queries. Would a customer prefer an email reply from a programmed system or from the business owner who genuinely cares? For us that personal touch cannot be replaced.

We have all used those useless chatbots that offer nothing and just send you round in circles. They will improve over time, but right now they are one of the most frustrating ways to try and contact a business.

Managing Social Media with a Bit of Help

We are not great at social media. It often takes a back seat to customer orders, product photography, and engraving work. But Ai has helped us stay a little more consistent.

For example, if we need to post about a new design or engraving style Ai might help draft a caption or suggest an idea. We always change it before publishing but having a starting point speeds things up.

We also use Ai to help create the occasional promotional image. This might be a ring on a textured surface or a banner layout for a blog. These are always double-checked for accuracy, especially if the ring shown includes a design feature that must match our product exactly.

Right now, we are experimenting with video content for the first time. Our latest blog post has been turned into a narrated video using English voiceover and a mix of real and generated images. Without Ai we would never have had the tools or time to try.

Update: although it made a good attempt, an eight-minute video was too much to expect a solid result. The final version has been scrapped. We may try again with a short 30-second version in future.

Checking Ai Answers Because It Gets It Wrong

We use Ai for quick answers across all areas of the business. That might include font compatibility, ring size conversions, engraving settings, or CSS tweaks. The time saved is real, but the answers are not always accurate.

Ai often guesses. It can give an answer that sounds convincing but turns out to be wrong. Other times it contradicts itself. We have learned to double-check everything before trusting it.

One useful habit is asking the same question in two different ways. If the answers come back noticeably different, we know to be cautious. We also back up every suggestion with logic or testing before we act on it.

For example, our laser engraver is a precise tool that needs different settings for each type of metal. When working with a material we have not engraved before, we will ask Ai for a starting point. The settings it gives are not always perfect, but they usually get us close. From there, we fine tune the machine until the result is right, each time feeding our results back in for analysis. Ai helps get us started when we would otherwise be guessing.

Ai will even admit when it was wrong if challenged. That alone is a reminder not to take the first answer at face value. We treat it like a fast research assistant. It works quickly but lacks depth. With the right checks in place, it still helps us get useful results.

The Changing Shape of Website Traffic

As Ai tools become more common, we are seeing a shift in how people find information. We no longer use search engines as often ourselves. When we have a question, we go straight to Ai. That has changed our browsing habits.

We are not alone. Website traffic across many sectors is falling. People ask Ai to get a direct answer and never visit the original source. Even on search engines Ai summaries now appear at the top of results sometimes removing the need to click through.

That means fewer visits for blogs, fewer views for product pages, and fewer chances for a site to make a sale. Yet we are now also seeing orders arrive from people who found us through Ai tools. Customers might use Ai to help find the right material, ring size, or engraving idea, then land on our site as the best match.

It feels like a shift rather than a collapse. And it is likely that not too far from now, we will be using Ai more often as part of online shopping itself. Rather than clicking through endless results, Ai may act more like a personal shopper, suggesting the most suitable product, not just the one with the biggest advertising budget.