Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who struggle to articulate creative goals in domain-specific contexts like advertising. Through a formative study with six SBOs in the United Kingdom, we identify three key challenges: difficulties in expressing brand intuition through prompts, limited opportunities for fine-grained adjustment and refinement during and after content generation, and the frequent production of generic content that lacks brand specificity. In response, we present ACAI (AI Co-Creation for Advertising and Inspiration), a multimodal generative AI tool designed to support novice designers by moving beyond traditional prompt interfaces. ACAI features a structured input system composed of three panels: Branding, Audience and Goals, and the Inspiration Board. These inputs allow users to convey brand-relevant context and visual preferences. This work contributes to HCI research on generative systems by showing how structured interfaces can foreground user-defined context, improve alignment, and enhance co-creative control in novice creative workflows.

Language is the mark of humanity and cognizance, and conversation or dialogue is the most fundamental and a distinctive field of language. As we use more natural interfaces with technology, like language, our relationship is shifting to one where we increasingly humanize them. The simplest kinds of dialogue systems are chatbots, systems that can carry on extended conversations with the goal of mimicking the unstructured conversations or'chats' characteristic of informal human2human (H2H) interaction. Conversational AI expands the scope of today's chatbots from stiff preset replies to one that can take astute & pliant actions. Conversational AI learns to allow humans and computers to talk and work together in a more natural way.

Tailor Brands is an automated branding platform that helps small businesses create a brand identity. When asked what advice he'd give to world leaders, Elon Musk replied, "Implement a protocol to control the development of Artificial Intelligence." If left unchecked, he reasoned that machine learning technology would outgrow its developer and see it (us) as no longer an essential part of the process. And as few technologies are more progressive or disruptive in their advancement, he might have a point! But before ML pulls a terminator on us, it's shaking up the corporate landscape, unlocking once closed markets, leveling playing fields by providing innovative solutions to long-standing problems, and making it easier for the little guys to compete with the corporate goliaths.

ZeBrand announces the launch of its web-based platform, zebranding.com, The company solves a crucial pain point for businesses by offering a new way for startups to generate complete branding toolkits, onboarding packages, and commercial visuals, in record time, and supports business owners and startup founders who have a limited budget to hire a branding agency which could easily cost between $5,000 and $200,000. ZeBrand gives, both, startups and established companies on more modest budgets a way to bypass expensive branding agencies and brand designers in mere minutes, through their refined A.I. algorithm. "Most companies are aware of the importance of good branding, however, many lack the necessary resources to execute complete brand identity, which is then reflected in their growth," says Ryo Kikuchi, Chief Executive Officer at ZeBrand. "We would like to make whole brand development and identity easy and available for everyone, regardless of their background or budget."

When you think of artificial intelligence (AI) and automation, your mind probably goes to science fiction movies like Terminator and Star Wars. But, whether you realize it or not, AI and automation technologies are already here and are deeply integrated into many different industries. For example, security companies use AI-powered facial recognition to recognize threats, delivery firms use machine learning to optimize their routes, and data scientists use AI to understand their data. We're also starting to see commercially available AI-powered tools enter the marketing industry. And for marketers who are willing to adopt the new technology stand to fly ahead of their competition.

Access to case studies expires six months after purchase date. Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills required. As it sets out to raise its Series B, the founders make some critical changes to their business model, moving to a subscription model and adding additional products and services to automate other parts of the branding and marketing process. Can algorithms, machine learning, and artificial intelligence help Tailor Brands outperform graphic designers and branding agencies in developing brand identities? And, can Tailor Brands differentiate itself from the many other logo generators popping up in the market?

Imagine it's the early 1990s and you've heard about a new platform called "the internet." You realize its potential for customer communication, so you want to build a web presence. You want to create a site that reflects your brand standards and communicates with customers in your brand's voice. That's exactly what some brands are doing today with AI assistants. Sales of voice-driven AI assistants like Amazon's Echo and Google Home are booming, and it's increasingly common for consumers to ask Alexa or Google about products or services they're interested in instead of entering keywords into a search engine.

Developer Jack Qiao has been working with AI a fair bit lately to aid his design projects. He previously built a tool to help pair fonts, and he's now launched Brandmark, which uses artificial intelligence to create a unique brand identity for your business. We're not the sort to take people at their word, so we had Brandmark try redesigning TNW's logo to see if it was really all that. It works by identifying an icon, font pair and color scheme based on keywords you enter to define what your brand is about. I showed this to our head of design, Alexander Griffioen.

But look five years down the road to 2022, and "branding" the way we understand it today may hardly exist at all. According to experts, the future is rife with personalized logos, brands built by artificial intelligence, and even brands literally living inside our bodies. Jez Frampton, global CEO of the branding agency Interbrand, describes it as the "Age of You." To eliminate friction between brands and consumers. Of course, this could be construed as a tremendous invasion of privacy--a dystopian vision in which the separation between who we are and what we buy dissolves into the ether.