Workflows

Knowledge from past projects in Snaptrude AI

February 16, 2026
PT1M09S
Snaptrude AI

Video Description

Every firm has standards. Classroom sizes that worked. Department mixes that evolved. Efficiency targets refined over years.

The challenge isn't creating that knowledge. It's accessing it when a new project begins.

With Knowledge in Snaptrude, you can connect your cloud storage and bring past project data directly into your design workflow. AI scans previous programs, extracts patterns, and references source files transparently.

This means that you can generate new programs grounded in your firm's collective knowledge, instead of starting from generic templates.

Try now at snaptrude.com

What You'll Learn

  • Connect cloud storage so Snaptrude can read your team's past project data
  • Ask the AI to research standard classroom areas or department sizes from prior work
  • Get source-referenced answers so you know exactly which project data was used
  • Generate a new program grounded in your own firm's historical data

Transcript

Knowledge helps teams bring their collective experience into Snaprude. To get started, you can connect your cloud storage. This lets you bring past project data directly into Snaprude. Snaprude reads the files and makes them ready for use with the AI. Now, let's start a new project. I can ask the AI to research standard classroom areas and dimensions used in my past projects. Snaprude scans through previous programs and summarizes typical classroom types, sizes, and capacities. I can also research departments. Snaprude pulls this information directly from past projects and references the source files it used. We can now use this data to create a new program. Let's switch to program mode and ask Snaprude to generate a program using the researched information. Snaprude generates the program with departments, spaces, and areas already populated. This way, program creation is grounded in your own work, helping you design faster while staying consistent with what you've already built.

Uploaded on:
February 16, 2026
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