The AI alliance for brands

The use of artificial intelligence to build authentic and sustainable brands is here to stay. We're certain because we've been preaching by example for months, using different tools that allow us to activate our brand and empower our more-than-partners.

In this post we want to share with you what we've learned, always from our cross-cutting vision—which brings together strategy, identity, product, and technology—while exploring paths that have taken us far. Though we know, with complete certainty, that this is the beginning of a journey with which to contribute increasingly to the longevity of businesses.

The more strategy, the better the results

Strategic work is a must at Soluble. Because it defines the essence of an organization and helps it connect with the future from authenticity and congruence. That's why any activation work stems from these brand tools that encapsulate reality and help you squeeze AI across different fronts

• Greater ease when it comes to defining prompts. Understanding the territory we're operating in, what our brand pillars are, and even the words with the most semantic weight, makes it easier to create these instructions for artificial intelligence tools.
• Having a brand with well-established roots helps you discern what's aligned with the brand and what isn't. This increases agility, reduces uncertainty, and helps you achieve more effective results—research, visuals, and beyond.

After our intense work learning and applying artificial intelligence, we're clearer than ever: AI without brand vision only produces stock imagery and undifferentiated content. Knowing what we're after is essential so that generated materials contribute to brand building and, by extension, to meeting business objectives. That doesn't prevent a bot from being useful when it comes to exploring and understanding a company's reality.

Elementary, my dear Solubot

To strengthen the initial phase of client relationships, we use AI as a research tool. Its applications are valuable across many fronts: scraping websites, analyzing extensive databases and documents, extracting the most important information from our competitive analyses, finding information sources that are deeply hidden…

It's a genuine second brain we rely on to accelerate our work, validate hypotheses, and deliver even more complete conclusions. And that gives us extra time that we redirect toward what matters most: reflection. Understanding perfectly, then encapsulating the essence into theoretical yet actionable tools. Measure twice, cut once.

Written content and AI: multiplying agility

After immersion and strategy definition, a world of possibilities opens up for integrating artificial intelligence into brand activation. The first is content creation. Because, again, it allows us to optimize resources on projects that demand agility. For example, when you need large volumes of content, or extensive pieces aimed at SEO positioning.

Human-machine collaboration remains the key here: the bots we create and train provide a foundation to refine—whether by expanding, condensing, or fact-checking the information. Greater speed without sacrificing quality, but also contextualized excellence: we work according to scope, maximizing the value we extract from available resources.

In our case, we train artificial intelligence to use the brand's verbal identity, to stay true to its voice so that texts are saturated with its voice (tone, distinctive elements…) and its style—from emoji usage to avoiding specific words—. An intensive effort that pursues contextualized excellence.

We frequently apply this philosophy to activating our own brand through social media, generating content ideas, refining and condensing copy… All the tasks where we can gain real value from automating.

Artificial intelligence in visual assets

To close the loop and support the written content, we're working on creating images and visual pieces with Midjourney. In this kind of highly creative work, where value is somewhat intangible, the expert hand of the professional takes on special importance. Because, until now, people in design roles have illustrated their ideas through software use, and in the current context these roles can shift—to the point where AI defines the outcome entirely.

That's why, we insist, it's essential to have a clear grasp of the needs of the brands we work with. By staying true to this framework, we reduce deviation from territory or positioning. In other words: there's significant optimization work before we stamp it with our quality seal.

Continuous training

Iterate and refine, iterate and refine. Training an AI is intense work: feeding reference documents, examples, prompts that gradually sharpen the results… And also feeding back the outputs with the images it has created itself, so the fruits of its labor become increasingly aligned with the brand. Selecting the pieces that best project the brand's universe—and discarding those that take us away from it—is essential work.

Empowering teams: style guides for prompts

With great power comes great responsibility. Moving through this path of learning and experimentation helps us empower the teams we work alongside every day, so they can achieve better results more efficiently.

How? By defining prompt style guides that anyone can use—even without deep technical knowledge—to understand which words to use, the types of shots being sought, the references to keep in mind, and even the technical specifics needed to get the most out of AI.

Just as we've embraced shifts in essential tools like Figma, our holistic vision has led us to embrace artificial intelligence as another tool to gain impact and effectiveness. An alliance to keep making good companies look as good as they really are.