How I Correct AI When It "Doesn't Understand" a Landscape Task

Artificial intelligence has become a powerful tool in my work, but like any assistant, it requires training and adjustment. Often, AI generates beautiful but completely non-functional or unrealistic solutions for a plot. My task is not just to get a pretty picture, but to create a living, well-thought-out space. Therefore, I view AI as a very fast, but "naive" designer who needs constant guidance and correction.

Understanding AI's "Thinking"

Before correcting, it's important to understand how AI "thinks." It operates on vast amounts of data and patterns, but it lacks context, common sense, and an understanding of the physical laws of the real world. AI doesn't know that your 15-are plot has a 2-meter elevation change, or that the trees it suggests won't survive in the local climate. It doesn't consider that a narrow path 0.6 meters wide, which it proposes, will be inconvenient for a wheelbarrow or lawnmower. My task is to fill this gap by providing it with the most accurate initial data and rigorously filtering the results.

From Query Quality to Result Quality

The first and most important rule is the quality of my query, or prompt. The more precisely I describe the task, the less I have to correct later. I always start with basic data: plot size (e.g., 12 ares), orientation to cardinal directions, existing buildings, desired functional zones (BBQ area, playground, vegetable garden). For example, instead of "make it beautiful," I write: "Develop a landscape concept for a 12-are plot, oriented southwest. Include a recreation area with a 4x4 meter gazebo, a 5x5 meter children's playground, an orchard, and a decorative vegetable garden. Main materials: natural stone, wood, frost-resistant plants." The more specific, the better. I've noticed that when I don't specify important details, such as the presence of a drainage system, AI might "forget" about it, and then I have to spend time regenerating or manually refining.

Iterative Approach and the Role of Feedback

I never expect a perfect result on the first try. My process of working with AI is always iterative. I give a query, get a result, analyze it, and give the next query for adjustment. It's like a dialogue with a student: "Okay, but this gazebo needs to be moved 3 meters east, and replace the conifers with shade-tolerant deciduous trees." Sometimes I have to give several dozen such clarifications to get what I want. It's important to be patient and consistent. A typical mistake at this stage is trying to fix everything at once. It's better to focus on one or two elements at a time. For example, first, I achieve the correct placement of large objects, then I work on the path network, and only then do I move on to detailing the landscaping. This helps avoid chaos and maintain control over the process.

Typical "Misunderstandings" and How to Address Them

AI often makes mistakes in the following areas, and I know how to work with them:

• Scale and proportions: AI can place objects without adhering to realistic sizes. A 1-meter wide path it draws might be too narrow for a lawnmower or two people to walk side-by-side. I specify exact dimensions: "path width - 1.2 meters," "flower bed size - 3x1.5 meters."
• Functionality: It might suggest a pond right in the middle of an active recreation area or place a gazebo without convenient access. I explicitly state the connections between zones and access requirements. For example, "the BBQ area should be 5-7 meters from the house, with easy access from the kitchen."
• Plants and climate: AI might suggest exotic plants completely unsuitable for the region. I always include in the prompt: "Use only frost-resistant plants characteristic of the temperate zone." If it still suggests something unsuitable, I specify particular species: "Instead of palms, use 'Smaragd' thujas and 'Blue Star' junipers." I discussed realistic visualization in more detail in the article How to distinguish good AI visualization from beautiful but unrealistic.
• Terrain: AI rarely considers the terrain of a plot unless explicitly specified. It might draw perfectly flat lawns on a slope. In such cases, I add: "Account for a 10-degree slope on the northern side of the plot, suggest terracing."

My "Manual Refinement" Strategy

Despite all the capabilities of AI, the human eye and experience remain indispensable. I always do the final refinement manually. This might involve adjusting plant placement, adding small decorative elements, refining lighting details, or clarifying materials. AI is an excellent idea generator, but I am the conductor who brings them together into a single harmonious symphony. Sometimes, when AI stubbornly "doesn't understand" a detail, it's easier to just draw it myself and then show it to the AI as an example: "This is how I want this flower bed to look." This saves me time and nerves compared to endless attempts to explain something beyond its comprehension to the algorithm.

Balance Between AI Speed and Human Expertise

My business experience, where for many years I explained to programmers what I needed and received something else, taught me one important thing: the more precisely you formulate the task, the fewer reworkings there will be later. AI is a new level of such interaction. It allows me to generate dozens of options in minutes, which used to take days or even weeks. But without my expertise, without understanding the principles of landscape design, without knowledge of plants and materials, without considering client needs, these options would just be beautiful but useless pictures. I've learned to use its speed to focus on the creative part and strategic planning, rather than routine drawing. I discussed my journey and the process of creating modules in the article My process: from business pain to a working module with AI.

How to Plan in formspace.design

formspace.design was created precisely to minimize these AI "misunderstandings" and give you full control over the design process. I built it as a tool that helps structure initial data and then uses AI to generate ideas, rather than for blind trust. My goal is to make the plot planning process accessible and efficient for every owner, regardless of their experience.

I always start with module 1.0 "Plot Plan", where I upload or draw the exact outline of the plot, indicate existing buildings, and important points (e.g., house entrance, septic tank location). Then I move to 1.1 "Zoning", where I clearly mark functional zones: recreation area, children's area, parking. This is critically important because it gives AI structured information about the purpose of each part of the plot. Only after this do I move to 2.1 "AI Concept", where I generate the first ideas. If AI suggests a fountain in the middle of a playground, I know I can easily go back to 1.1 and clarify the zone boundaries, and then in 1.3 "Objects" place a specific play structure, rather than waiting for AI to "figure it out." This allows me to quickly guide AI in the right direction, using it as a powerful tool for inspiration, not as the final designer. Module 3.1 "Design by Photo" also becomes indispensable when you need to get a realistic visualization of a specific corner, already corrected by me, to show how my ideas will fit into the real landscape.

FAQ

Can AI be fully trusted in landscape design?

No, AI cannot be fully trusted yet. It is an excellent tool for generating ideas, analyzing data, and visualization, but it lacks human experience, creativity, and an understanding of the specifics of each particular plot and the needs of its owners. AI cannot account for microclimate nuances, soil composition, social aspects, or personal preferences, which are often crucial.

How to avoid common mistakes when working with AI?

To avoid common mistakes, always start with the most detailed and precise query (prompt). Specify dimensions, functional zones, style and material preferences, as well as important constraints (climate, terrain, budget). Use an iterative approach, gradually refining details, and always critically evaluate the results, comparing them with reality and your expectations. At each step, check the logic and functionality of the proposed solutions.

Is landscape designer experience needed to work with AI?

Having landscape designer experience significantly simplifies and improves working with AI. An experienced specialist better understands what data AI needs, how to formulate queries correctly, and how to interpret and correct the results obtained. However, even without professional experience, formspace.design allows plot owners to create well-thought-out projects, using AI as an assistant that can be taught and guided, thanks to its intuitive interface and step-by-step approach.

How long does it take to correct an AI project?

The time it takes to correct an AI project depends heavily on the complexity of the task and the quality of the initial query. On average, at the initial stage, when I am just forming the concept, correction can take from a few minutes to an hour per iteration. The more accurate the initial data and the better you guide the AI, the faster you will achieve the desired result. In formspace.design, the structured approach helps minimize this time.

Does AI always offer the same solutions for similar tasks?

No, modern AI models are capable of generating diverse solutions even for similar tasks if you vary your queries and use different styles or keywords. However, without targeted management, AI may lean towards the most common or "template" options. Therefore, it's important to experiment with prompts and use regeneration features to get more unique and creative ideas.

What to do if AI creates unrealistic elements in a project?

If AI creates unrealistic elements (e.g., plants that don't grow in your climate, or structures that defy physics), you need to explicitly point out these errors in the next query. For example, "Remove this tree; it won't survive at -20 degrees" or "Replace this hanging bridge with a regular path." In formspace.design, you can switch to manual correction in the "Objects" and "Plants" modules to replace or remove such elements using proven and realistic solutions.

How does formspace.design help in the AI correction process?

formspace.design provides a structured approach that helps manage AI. First, you define the exact plot boundaries, mark functional zones, and place main objects using modules 1.0 "Plot Plan," 1.1 "Zoning," and 1.3 "Objects." This creates a rigid framework within which AI (module 2.1 "AI Concept") generates ideas. Thus, you don't give AI complete freedom but guide it within the rules and limitations you've already defined, which significantly reduces the number of errors and the need for further correction.

Using AI in landscape design is not a replacement for human creativity and experience, but a powerful amplification of them. I invite you to try formspace.design to see how you can effectively combine the speed of artificial intelligence with a deep understanding of living space. This is the path to creating not just beautiful, but functional and realistic landscapes that will delight you for years to come. Register and start planning your ideal plot today.