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AI tools for AEC · 2 tools

AI research tools for AEC teams

Short answer

AI research tools answer questions from documents you upload or from the web, and show the sources behind each answer. AEC teams use them to research codes and standards, compare products and search project documents. Their value is the citation: always open the source before you rely on an answer.

What are research and knowledge tools for?

Research tools differ from general assistants in one important way: they show where each answer came from. NotebookLM works from documents you upload, such as specifications, reports and standards you hold; Perplexity searches the web and links its sources.

That makes them useful for questions where you need to verify the answer, which is most questions in AEC.

How do you choose and use one well?

Upload the source you trust

For codes and standards, upload the current edition you hold rather than relying on the web.

Open every citation

A citation can be out of date or say something different from the summary.

Ask narrow questions

“Which clause covers retention?” works better than “Summarise this contract”.

One collection per project

Keeping each job's documents separate keeps answers focused.

Watch out for

  • Out-of-date web sources
  • Standards shared beyond your licence
  • Summaries used instead of reading the clause

Research and knowledge: common questions

What is the difference between NotebookLM and ChatGPT?

NotebookLM answers from the documents you give it and cites them; ChatGPT is a general assistant that can also search the web or read files. For questions about your own documents, a source-grounded tool makes checking easier.

Can AI research tools read Indian codes and standards?

If you upload a copy you are licensed to use, a document-based tool can search it and cite clauses. Check every clause in the original, and make sure you have the current edition.

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