Understanding the AI Tool Stack: Where ChatGPT, Claude, and AI Builders Actually Fit

Understanding the AI Tool Stack

Artificial intelligence tools are appearing everywhere.

You’ve probably heard about tools like ChatGPT, Claude, and newer platforms like Lovable.

For small businesses, the challenge isn’t access to AI.

The challenge is understanding how these tools actually fit together.

Most people think of AI as a single product. In reality, AI operates more like a technology stack with several layers, each performing a different role.

Once you understand these layers, it becomes much easier to decide which tools your business should actually use.

The Five Layers of the Modern AI Stack

Think of AI like a building with multiple floors. Each floor provides a different capability.

1. Foundation Models — The AI Brain

At the bottom of the stack are the foundation models.

These are the large AI systems trained on vast datasets that power everything else.

Examples include:

  • ChatGPT

  • Claude

  • Gemini

These systems are incredibly capable, but they are also general-purpose.

They don’t automatically know:

  • your business

  • your customers

  • your processes

  • your marketing strategy

That knowledge needs to be added through other layers.

2. Agent Tools — AI That Can Execute Tasks

The next layer introduces AI agents.

Instead of just answering questions, these systems can interact with software and perform actions.

One example is Claude Code, which allows AI to work directly inside a software project.

Agent tools can:

  • edit code

  • run commands

  • analyse software systems

  • fix bugs

These tools are mostly used by developers, but they are becoming the engine behind many AI products.

3. AI Builders — Tools That Create Applications

This layer is where things get interesting for small businesses.

AI builders allow you to create useful digital tools without writing code.

Platforms like Lovable make it possible to generate:

  • quizzes

  • calculators

  • scoring tools

  • lead generation tools

  • simple applications

For example, a small business might create:

  • a renovate vs relocate calculator

  • a roof safety risk assessment

  • a screening cost calculator

These tools turn passive website visitors into engaged prospects.

4. Custom GPTs — Your Business Intelligence Layer

Above the technical layers sits something even more valuable.

Your knowledge.

Custom GPTs allow businesses to embed their:

  • marketing frameworks

  • brand voice

  • service models

  • internal processes

  • client knowledge

into AI systems.

Instead of asking generic questions like:

“How should I market my service?”

A custom GPT already understands:

  • your industry

  • your positioning

  • your offers

  • your audience

This means the AI can deliver far more useful and relevant answers.

For many businesses, this layer becomes the operating system for marketing and strategy.

5. Business Tools — The Real Outcome

At the top of the stack are the tools that customers actually interact with.

These might include:

  • lead generation quizzes

  • pricing calculators

  • diagnostic tools

  • AI advisors

These tools sit on your website and provide value while capturing leads.

For example:

A visitor might complete a short diagnostic tool that tells them:

“Based on your answers, your facility roof safety risk is high.”

That result naturally leads to a sales conversation.

Why This Matters for Small Businesses

Many businesses are experimenting with AI by asking it to write:

  • blog posts

  • social media captions

  • email drafts

That’s useful, but it only scratches the surface.

The real opportunity comes from combining multiple layers of the AI stack.

For example:

  1. AI models provide intelligence

  2. Custom GPTs apply business knowledge

  3. AI builders create tools

  4. Lead tools capture prospects

The result is a powerful marketing system, not just a chatbot.

The Future of AI for Small Business

The businesses that benefit most from AI won’t simply use it to generate content.

They’ll use it to build smarter customer experiences.

Instead of static websites, businesses will offer tools that help visitors:

  • diagnose problems

  • compare options

  • calculate costs

  • prioritise decisions

These tools provide value first — and naturally generate leads.

Final Thought

Artificial intelligence is evolving quickly, but the core principle is simple:

AI works best when you combine tools, not rely on just one.

Understanding the AI stack helps small businesses move from experimenting with AI to building real systems that generate results.

Dan MacInnis

Dan is a marketer and a creative soul. She has over 25 years of experience helping small businesses with their marketing and started Happy Beads in 2021 as a creative outlet during the pandemic.

https://www.macinnismarketing.com.au
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