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Make AI assistant Alvari your colleague

Alvari acts as a tireless assistant for construction professionals, providing access to up-to-date and reliable information sources.


Alvari is now also available in the RYL service!

Tekoälyassistentti Alvari

The AI assistant Alvari now helps you in the RT, LVI, and KH card databases, the RYL service, and the Infra package. Alvari directs searches only to reliable consensus-based information, distinguishing it from Google and other AI-based search engines.

You can ask Alvari questions. Alvari will respond and also provide links to instruction cards, allowing you to explore the topic in greater depth. The AI assistant speeds up information retrieval and makes your work more efficient.

Kuvakaappaus Rakennustiedon Alvari-tekoälystä


Alvari helps you in these services

RT Card File logo

RT Card File

Guidelines, regulations, and best practices for the construction industry in one place.

From171,50/mo

2 058€/year

HVAC Card File logo

HVAC Card File

Guidelines for building services engineering: design, implementation, and maintenance.

From114/mo

1 368€/year

KH Card File logo

KH Card File

Reliable information for property management and maintenance.

From114/mo

1 368€/year

Ratu logo

Ratu

A service for construction production planning, work methods, and site management.

From114/mo

1 368€/year

InfraRYL logo

InfraRYL

Common ground rules for projects

From73/mo

876€/year

KiinteistöRYL logo

KiinteistöRYL

A service defining requirements and quality standards for property maintenance and management.

From72/mo

864€/year

MaaRYL logo

MaaRYL

General quality requirements for civil engineering for construction sites and design.

From38/mo

456€/year

TalotekniikkaRYL logo

TalotekniikkaRYL

General quality requirements for building services engineering to support projects.

From66/mo

792€/year

KorjausRYL logo

KorjausRYL

Quality requirements for renovation design and construction work.

From64/mo

768€/year

Infra Quick Reference Package logo

Infra Quick Reference Package

Key guidelines and requirements for the infrastructure sector in a compact package.

From101/mo

1 212€/year

RunkoRYL logo

RunkoRYL

A service defining quality requirements for structural frame construction.

From73/mo

876€/year

SisäRYL logo

SisäRYL

Quality requirements for interior construction work

From73/mo

876€/year

How to use Alvari and other AI-based search tools effectively


AI-based search tools are changing the way we find information. With Alvari and other AI-based searches, you can have a conversation and search using question form. Read our guide to learn what kinds of questions, or prompts, produce the best answers from Alvari and other AI-based search tools such as ChatGPT.

How to ask Alvari – checklist:

  1. Formulate your query as a clear question, not as keywords.
    The more precise and detailed your question is, the more accurate your answer will be.
  2. Be specific
    Clear and detailed questions usually produce the best and most accurate answers. For example, the question “How does roof ventilation work?” is more general than “What is the recommended spacing between roof ventilation openings in the underlayment of a pitched roof?”
  3. Use technical terms
    Using technical terminology helps ChatGPT better understand what you are looking for. For example, asking “How large should the ventilation gap be in a bitumen roof to prevent moisture accumulation?” is more likely to yield a better answer than “How do you ventilate a roof?”
  4. Define the context
    Context and background information help ChatGPT provide more precise answers. For example: “I want to avoid condensation in the attic during winter. How can I improve ventilation in a 1970s apartment building with a tile roof?”
  5. Stay on topic and be concise
    Complex questions covering multiple topics may result in unclear answers. Keep your question simple and focus on one topic at a time.

Also note that AI assistant responses may vary, its references are not always the most relevant, and incorrect answers are possible. As with all information retrieval, verifying the accuracy of information is the responsibility of the user.