AI Makes Mistakes in Garden Design — Analyzing Typical Flaws

My experience working with artificial intelligence, especially in landscape design, has shown that despite its incredible power, it often makes mistakes. As the founder of formspace.design and a landscape designer with many years of experience, I want to share my insights into typical AI blunders and explain how to avoid them, using AI as a powerful assistant rather than a complete replacement for a specialist.

AI as a Tool, Not a Designer Replacement

I have always viewed AI as a catalyst for creativity and for accelerating routine tasks. It can generate dozens of visual concepts in seconds, which would take a human days, if not weeks, to create. But it's important to understand that artificial intelligence is just a tool. It does not possess life experience, common sense, or the capacity for empathy. AI doesn't understand what "cozy," "comfortable," or "practical" mean in the same way a human does. It operates on vast amounts of data, finding patterns within it and creating new images or texts based on those patterns. This is why, despite all its advancement, it cannot replace the deep understanding of context, functionality, and human needs that a true designer brings.

Typical AI Mistakes in Landscape Design

During my work with AI, I've identified several recurring errors that appear most frequently:

1. Disregard for Climate and Terrain

AI often ignores fundamental aspects like climatic zone, soil type, humidity levels, and site insolation. I regularly see neural networks suggesting palm trees or tropical plants for regions with harsh winters where they simply won't survive. Or they create projects with perfectly flat lawns on a site with a 10-15 degree elevation difference, completely disregarding the need for terracing or drainage systems. For example, if a 20-meter long plot has a 1-meter slope, this is critical for drainage and requires special solutions.

2. Scale and Proportion Issues

This is one of the most common and obvious mistakes. AI might depict giant trees on a plot of just 600 m², which would instantly overshadow the house and make the area gloomy. Or, conversely, it might suggest paths only 0.6 meters wide, making it impossible for two people to walk side-by-side. In my experience, the main garden path should be no less than 1.2-1.5 meters wide, and secondary paths 0.8-1 meter. AI can also create elements that are too large or too small relative to the overall site size, disrupting harmony and functionality.

3. Lack of Functional Zoning and Logic

AI often generates beautiful but completely impractical images. It might place a children's playground in a distant, shaded corner of a 2000 m² plot, where it would be inconvenient to supervise children. Or it might position a barbecue area right next to clotheslines or bedroom windows. AI projects often lack logical use of space: there are no convenient connections between zones, the principle of privacy is violated, and circulation paths on the site are not considered.

4. Ignoring Budget and Maintenance

AI doesn't know the cost of plants, materials, or labor. It might suggest rare, exotic plants whose maintenance would require enormous time and expense, or complex water features requiring costly equipment and regular upkeep. The result is a beautiful but completely unfeasible project that exceeds any reasonable budget.

5. Repetitiveness and Templated Designs

Unless given very detailed prompts, AI often produces similar, templated solutions. This deprives the garden of individuality, making it look like thousands of other neural network-generated projects. The lack of a unique "signature" is a serious drawback for creating a truly special landscape.

6. Misunderstanding Cultural Context and Style

AI can mix styles or suggest elements that are completely inconsistent with the house's architecture or local traditions. For example, a Japanese garden next to a Provence-style house looks, to put it mildly, strange. Or the use of materials that do not harmonize with the surrounding development. AI is not always able to grasp the subtle nuances that make a design cohesive and appropriate.

Why This Happens: An Inside Look

The reasons for these errors lie in the very nature of artificial intelligence. It does not possess "common sense" or personal experience. AI operates on the data it was trained on. If that data didn't contain enough examples where climatic zones or physical laws were considered, it won't be able to apply them correctly. Furthermore, AI is prone to "hallucinations" — it can invent details that look realistic but have no practical meaning or physical basis.

How I Avoid AI Mistakes in My Work

My approach to working with AI always involves critical evaluation and refinement. I:

1. Start with a clear technical specification: A maximally detailed prompt is already half the battle. I describe the site, its features, my preferences, and functional requirements in detail. I discuss this in more detail in the article Step-by-step: how I create a prompt for garden visualization from scratch.
2. Use AI for generating ideas, not finished projects: Its task is to give me starting points, which I will then develop and refine.
3. Critically evaluate each element: Does the proposed solution match the climate, budget, and functionality? For example, if AI suggests a coniferous corner, I check exactly which plants it used and if they are suitable for my conditions. My experience explaining complex concepts to a neural network is described in the article How I explain to the neural network what a coniferous garden corner is.
4. Supplement with manual work: After receiving a concept from AI, I always refine it manually, taking into account all the nuances that AI missed.

How I Plan with formspace.design, Correcting AI

It was precisely this understanding of AI's limitations that became one of the driving forces behind the creation of formspace.design. My goal in developing the platform was to give users a tool that allows them not just to generate beautiful images, but to control, refine, and transform AI-generated ideas into realistic and functional projects.

I start my work with formspace.design using Module 3.1 "Design by Photo." This allows me to quickly upload a photo of the site and get several initial visual concepts from AI. At this stage, I don't expect a perfect solution, but rather use it to see how AI interprets my site and what general ideas it can offer. Next, I transfer the most interesting ideas to Module 2.1 "AI Concept," where I can more thoroughly work out the zoning, specifying the main functional areas and their interconnections. AI helps me quickly place elements, but I always check their logic: how convenient will it be to reach the relaxation area, is there enough space for a playground, will the barbecue smoke bother neighbors? The most important stage for correcting AI errors is working in Module 1.x "Plan/Zones/Objects." Here, I can take the concept received from AI and transform it into a real, scaled plan. I set precise dimensions for paths – for example, the main alley must be at least 1.5 meters wide, and secondary ones 0.9 meters. I place objects, considering their actual sizes (e.g., a 3x4 meter gazebo, not an abstract spot), the site's slope (if the elevation difference over 10 meters is 0.5 meters, this must be considered when planning drainage and terracing), and insolation. This allows me to correct all those errors of scale, functionality, and applicability that AI often makes, turning a beautiful but abstract picture into a well-thought-out and implementable project.

FAQ

Is AI completely useless for landscape design?

No, it's very useful for generating ideas and visualizations. AI significantly speeds up the initial stage when you need to quickly sketch out several design options. But without human oversight and refinement, its results can be far from practical implementation and fail to account for many important nuances.

Can I trust AI to choose plants?

Partially. AI can suggest beautiful plant compositions, but it often ignores climatic zones, soil requirements, lighting, and maintenance. I always cross-reference AI-suggested plants with reference books and my own experience to ensure they are suitable for the specific site and regional conditions.

How do I check if an AI design is practical?

Assess the scale: do the sizes of paths and recreation areas match real needs and standards? Check the functionality: are zones logically placed (e.g., a recreation area near the house, a vegetable garden in the sun)? Are utilities, drainage, site topography, and circulation paths considered?

What data does AI need for good design?

The more details, the better. Provide photos of the site, its plan with dimensions, cardinal directions, information about the climate, style preferences, family composition, budget, and required functions. A clear and detailed prompt is key to an adequate and useful result from AI.

How much time does AI save?

AI can save hours or even days during the initial idea generation and visualization phase. Instead of manually drawing dozens of sketches, you get them in minutes. However, the time spent on critical evaluation, refinement, and practicality checks still remains and cannot be ignored.

Which styles does AI handle better/worse?

AI handles popular styles well-represented in its training data, such as modern, minimalism, Japanese, and classical. It performs worse with very specific or complex styles requiring a deep understanding of cultural context and traditions, as well as with the precise reproduction of rare details or unique regional aesthetics.

Do I still need a landscape designer if I have AI?

Yes, absolutely. AI is a tool, and a designer is an expert. A designer interprets client wishes, analyzes the site on location, corrects AI errors, considers budget, feasibility, maintenance specifics, and many nuances that AI is not yet capable of fully processing and integrating into a single harmonious project.

Artificial intelligence is a powerful assistant, but not a replacement for human experience and common sense. By using it wisely, critically evaluating the results, and complementing them with your expertise, you can create a truly unique, functional, and beautiful garden. formspace.design is designed precisely to help you in this process, combining the power of AI and your own design vision.