In this section I review one AI-powered application and demonstrate how it can be used to create new value. I include concrete examples and lessons learned from actual work with customers, and only recommend tools that I have used extensively myself and with customers.
GloryHack and the workflow-amplified approach
I built GloryHack (using Base44 as a vibe coding tool) to solve a specific problem: small businesses need professional marketing materials but can't afford agency prices or the weeks it takes to create effective campaigns.
The tempting approach would be: "Just tell our AI what you want, and it'll create everything for you!"
That doesn't work. AI doesn't know your business. It doesn't know which creative direction fits your brand. It can't tell if the copy sounds like something you'd actually say.
Instead, GloryHack uses what I call a workflow-amplified-by-AI approach. Break the creative process into clear steps. Let AI amplify human work at each step. Keep humans in the loop at exactly the points where business judgment matters.
Here's how it works.
Creating a marketing campaign used to take weeks and cost thousands. GloryHack does it in a few minutes through a structured collaboration between human expertise and AI capabilities.
Step 1: The business brief interview
The AI asks questions like a smart creative director would. What's your business? Who are your customers? What makes you different? What do you want people to do?
You answer naturally, like you're explaining your business to a human creative account manager. The AI structures the conversation to extract what it needs for creative strategy.
Human role: Provide context only you know
AI role: Ask smart questions and organize information
This works because you're not trying to prompt engineer. You're just answering questions about your own business.
Step 2: Choose a creative direction
Based on your interview, the AI generates three campaign concepts. Each one uses a different creative template.
You might see "Extreme effort" (showing people going to ridiculous lengths to get your product), "Absurd alternatives" (contrasting your solution with silly substitutes), or "Extreme consequences" (amplifying the before-and-after difference).
These aren't random. They're based on analysis of thousands of award-winning campaigns. The templates are scientifically proven to grab attention and drive action.
Human role: Pick the concept that feels authentic to your brand
AI role: Generate options using proven frameworks
The key insight here is that GloryHack doesn't rely on AI to "be creative." It encodes decades of advertising wisdom into templates, then lets AI adapt those templates to your specific business. AI is great at adaptation. It's less reliable at creative strategy from scratch.
Step 3: Review your marketing copy
Now the AI writes platform-specific copy. Instagram captions with hashtags and CTAs. Facebook posts with longer-form storytelling. Print materials with punchy headlines.
All three versions follow the creative template you chose. But each one is optimized for its channel. You review the copy. Does it sound like you? Is it accurate? Would you actually say this?
Human role: Validate accuracy and brand voice
AI role: Generate channel-optimized copy
This is a perfect example of AI amplification. Writing three versions of marketing copy tailored to different platforms is tedious work. AI handles that mechanical process. You just make sure it sounds right.
Step 4: Select a visual style
Pick from six artistic directions: realistic photography, cartoon illustrations, black and white, sepia, retro, or clean default.
This is a pure aesthetic choice. A law firm might choose black and white for sophistication. A kids' tutoring service might pick cartoon for approachability.
Human role: Make aesthetic decision
AI role: Offer clear options
The AI doesn't try to guess your brand personality. It just gives you clear choices.
Step 5: Generate visuals
Next, the AI generates your complete campaign package. Custom images for each platform. Properly formatted layouts. Brand-consistent visual elements. Everything ready to download and deploy. The API call to the right image generation model is set into the application - you don't need to prompt anything. It takes into consideration the campaign concept you selected, the marketing channel, the copy, and the esthetic choice you made.
Human role: Review and start using
AI role: Execute all technical work
The AI handles image generation, formatting, multi-channel optimization, and packaging. You get Instagram posts, Facebook ads, LinkedIn content, print materials, and email copy, all based on the same creative concept with consistent visuals.
Compare this to the alternatives.
Fully manual: You'd spend weeks researching creative strategies, writing copy, hiring a designer, creating visuals, and formatting everything for each platform. Cost: thousands of dollars. Time: weeks.
Fully autonomous AI: Tell a chatbot "make me a marketing campaign" and hope for the best. Problem: The AI doesn't know your business context, can't guide creative direction, and might produce something that misses the mark entirely.
Structured workflow with AI amplification: Five clear steps. Human provides context and makes strategic decisions. AI handles the mechanical work and execution.
You get 100x improvement on time and 10-100x improvement on cost, while maintaining quality because you're guiding the process at critical points.
GloryHack illustrates a principle that applies beyond marketing tools. When you're building AI applications, you need to decide what AI should handle and what humans should control.
Here's the pattern I took when designing GloryHack:
Let AI handle:
Structuring conversations (the interview questions)
Generating options based on proven frameworks (three concepts)
Mechanical adaptation work with carefully crafted prompts (writing copy for three channels)
Technical execution (image generation, formatting, channel optimization)
Keep humans in control of:
Providing business context AI can't know
Making strategic creative decisions (which concept fits our brand?)
Validating accuracy (does this copy sound like us?)
Aesthetic choices (which visual style matches our audience?)
Notice what this is not. It's not "human reviews everything" (that would eliminate the efficiency gain). And it's not "AI does everything" (that would eliminate quality control).
It's strategic human input at exactly the points where business judgment matters.
When you design that collaboration thoughtfully - what belongs in each step, where humans should decide, what AI should handle - you get tools that deliver real business value while keeping quality high.
Not because AI does everything autonomously. Because AI amplifies human work at exactly the right points in a well-designed Level 4 workflow.
That's the pattern to follow: Structure the workflow. Amplify with AI. Keep humans in the loop where judgment matters.
This is how you build AI that actually works.
Watch the Glory Hack demo below, and head over to try it out yourself.