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Introduction
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※ This section is currently under development.

On this site, we emphasize the idea that the success or failure of rooftop greening is determined not after construction, but largely before decisions are made.

The AI Analysis section is not intended to delegate judgment to AI.
Rather, it is positioned as a supplementary perspective to help reconsider what needs to be clarified, and to what extent, so that people can make informed decisions themselves.

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Position of This Page
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In rooftop greening planning, information such as:

• product names
• number of installations
• advertising claims
• reference projects

often takes precedence, and the underlying assumptions and ways of thinking that lead to a decision may move forward without being sufficiently organized.

This page is intended to address that situation by helping to clarify:

• what is actually being treated as a basis for judgment, and
• what assumptions or considerations are being left unexplained or implicitly skipped.

Its purpose is to realign thinking and provide a clear reference point for examining how decisions are being formed.

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How This Site Approaches the Use of AI
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On this site,
AI is not treated as the decision-maker.

AI is not a tool for:

• determining the superiority of products or systems, nor
• presenting a single correct or optimal answer.

Instead, we see potential value in using AI as a supportive perspective for human judgment in situations such as:

• organizing the structure of complex information,
• identifying missing or overlooked viewpoints, and
• bringing implicit, unspoken assumptions into clearer focus.

What matters most is not what AI is asked to decide,
but whether people have properly organized and clarified the assumptions they provide to AI in the first place.

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Clarifying the Structure Behind Decisions
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In many cases where rooftop greening is later judged a “failure,”
the cause is not limited to poor workmanship or inadequate maintenance.

More often, the issue originates earlier—
at the pre-decision stage, where:

• which conditions were assumed as given, and
• what explanations were received and what was believed to be understood

were never clearly defined.

In other words, the decision structure itself remained ambiguous as the process moved forward.

This site places emphasis on first breaking down and examining
the structure underlying those decisions,
before attempting to evaluate any specific product or greening method.

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How to Engage with Track Records and Promotional Claims
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Track records, case studies, and promotional claims can be useful reference points when moving a project forward.

At the same time,
the mere facts that:

• a solution has many installations, or
• certain projects are showcased as examples

do not, by themselves, guarantee suitability for a specific rooftop environment or long-term viability.

This page does not seek to dismiss track records or marketing expressions.
Rather, it emphasizes the importance of understanding under what assumptions and conditions those results were achieved, and reading such information with that context clearly in mind.

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Areas Where Human Judgment Is Essential
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In evaluating rooftop greening projects, there are many factors involved, including:

• Building conditions
• Environmental characteristics of the rooftop
• Assumptions about maintenance and future renewal
• The intentions of the client and the operating organization

These are elements that cannot be fully captured or resolved through numerical data or specifications alone.

They are not areas that AI can automatically fill in.
They require humans to articulate, share, and consciously judge them.

This site places importance on first clarifying which areas of judgment must remain human responsibilities, and then considering, on that basis, where and how AI can appropriately contribute.

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A supporting reference for pausing before making a decision
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Before moving on to AI-based organization or analysis,
it is important to pause and confirm whether the underlying assumptions have been properly整理ed.

On this site, we provide the “10 Checks Before Decision-Making” as a supporting reference specifically for this purpose—helping users organize their thinking before making judgments.

If you would like to review and clarify your assumptions once more,
please refer to the following material:

10 Checks Before Decision-Making (Simple Version) ▶

Note:
This checklist is not intended to evaluate the suitability, superiority, or inferiority of any product or system.
Its purpose is solely to confirm whether the assumptions being used for decision-making have been clearly identified and organized.

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In Closing
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This page is not intended to promote the use of AI as an end in itself.

When considering rooftop greening, its purpose is to serve as a supportive viewpoint—
one that helps you avoid losing sight of:

• What you are actually judging, and
• On what assumptions that judgment is being made.

If this page functions as a small aid in keeping those fundamentals clearly in view,
we would consider it to have achieved its role.