Generative AI has been called everything from game-changer to overhyped. But beyond the noise, it's already driving a real impact across many industries.
At its core, generative AI is designed to create. While traditional AI focuses on analysing data and making predictions, generative AI produces an original output. From writing emails and generating product descriptions to designing visuals, drafting code and summarising documents, this type of AI is not just automating tasks, it's transforming how work gets done.
Generative AI isn't just for tech companies or creative agencies. It's a flexible tool that can be adapted across your various teams and business, regardless of the industry. The key is to identify an area where content, communication or decision-making is slowing you down and use AI to reduce this friction.
One of the most common uses of generative AI is content generation. This could mean drafting a blog post, writing an email sequence, creating a product description, or generating engaging ad copy. Instead of your team starting from scratch, they can generate a solid first draft in seconds, saving time for strategy and refinement. Tools like ChatGPT and Claude are great for long-form writing and ideation, while Jasper AI and Copy.ai specialise in marketing content and short-form copy like ads and social posts.
To make this even more tangible, here's a simple example of how you might use ChatGPT to write a product description:
🧠 How to Use ChatGPT to Create a Product Description
Prompt Example (what you type into ChatGPT):
"Write a short, engaging product description for a lightweight, waterproof travel backpack designed for digital nomads. Keep it under 100 words and make it suitable for an online store."
ChatGPT Output (what you get):
Meet your new travel essential. This lightweight, waterproof backpack is built for digital nomads on the move. With a sleek design, padded laptop sleeve, and hidden anti-theft pocket, it keeps your gear safe and dry—from coffee shop sprints to weekend getaways. Stylish, functional, and made to move with you.
With generative AI, where a task would normally take 30-60 minutes of writing and editing, it is instead ready in seconds and can be iterated quickly for different audiences or formats.
In customer service, generative AI can power chatbots and virtual assistants that go beyond scripted responses. These tools can handle FAQs, troubleshoot issues, summarise support tickets, and even translate customer conversations in real time.
For example, with HubSpot’s Breeze, a generative AI-powered agent, businesses can automatically respond to customer inquiries with relevant, contextual answers pulled from your knowledge base, CRM data, and previous conversations.
🤖 How to Use HubSpot’s Breeze for Customer Support
Prompt Example (what a customer might ask in live chat):
"Can I upgrade my plan without losing any of my saved data?"
Breeze Output (what the AI agent replies):
Absolutely! Your saved data will transfer automatically when you upgrade. Want me to walk you through the steps or do it for you now?
Breeze also keeps conversations consistent with your brand tone, learns from previous interactions, and seamlessly hands off to human agents when needed. It's designed to save time, reduce response delays, and offer 24/7 support that actually feels human.
Generative AI is quickly becoming a creative accelerator for product and design teams. It;s not just about saving time, it's also about unlocking more ideas, reducing the gap between concept and prototype, and making the early stages of design more fluid and collaborative.
A great tool for this is Figma's AI plugin. Designers can input a simple prompt, and the plugin generates a usable layout, complete with placeholder content and UI components. It's ideal for early-stage ideation, design sprints and fast turn client work where speed and clarity matters.
🎨 How to Use Figma’s AI Plugin for UI Design
Prompt Example (what you type into the plugin):
"Create a mobile app homepage for a meal delivery service with a hero image, sign-up CTA, and featured meals section."
Figma AI Output (what you get):
The plugin instantly generates a clean mobile layout featuring a top hero banner with a food image, a bold “Get Started” button, and a scrollable section showcasing meal cards. The layout includes placeholder content and smart alignment.
This gives designers a starting point in seconds, helping teams move from concept to prototype faster, aiding during early sprints or brainstorm sessions.
Generative AI isn't just for customer-facing work. It can transform how your teams operate behind the scenes. Internal operations are full of repetitive, manual tasks that slow teams down.
With AI, companies can automate these tasks, improve access to information, and keep employees moving faster without waiting on IT tickets, HR responses, or hours of note taking.
Tools like Notion AI are making AI accessible across internal systems, connecting company knowledge and reducing friction in everyday workflows.
📋 How to Use Notion AI to Summarize a Meeting
Prompt Example (after pasting in meeting notes):
"Summarize this meeting and highlight next steps, action items, and team assignments."
Notion AI Output (what you get):
A clean, structured summary broken into bullet points with clear next steps, assigned owners, and deadlines. It can even rephrase for clarity, adjust tone for internal sharing, or turn raw notes into a polished project update.
Instead of a team member spending 30 minutes cleaning up notes, they get a polished summary in seconds.
You don't need to overhaul your entire business to start using generative AI. The smartest approach is to start small and focus on the high-impact areas, test these quickly and build from there.
Begin by identifying the parts of your business where AI can make the biggest difference fast. Look for repetitive, content-heavy, or bottlenecked processes and once you've found a use case, choose tools that actually fit with your business.
It is best to pick platforms that integrate with your existing systems, protect your data and allow for customisation. You will then be able to train the AI based on your data, your brand voice, your workflows and your own customers. AI that understands your business is what creates real value.
However, don't leave AI to do the work alone. Make sure there's a workflow in place where humans can review and approve content when needed, especially if this is in a regulated or customer-facing area.
Finally, measure if this is working. Track time saved, output quality, engagement or other KPIs relevant to your business. You can then use these insights to scale what works and ditch what doesn't.
That’s where Hey Rebels comes in. We’re a consulting agency that helps businesses go beyond experiments and implement generative AI in ways that work.
We’ll help you:
If you’re ready to make generative AI a real part of how your business works, we’re ready to help.
👉 Visit heyrebels.com to get started.