curiosity

Resources · Library

Whitepapers

Deep dives into emerging technologies, AI systems, infrastructure and real-world applications.

No.PaperWhat it coversTopic
01

Building AI Factories That Deliver

Why writing software got cheap and owning it did not, and what a line that ships internal tools to production needs: a foundation, a floor and an approval.

AI factories
02

The App Is the Easy Part. The Foundation Is Not.

Documented incidents where apps built from scratch or generated from a prompt leaked data, overreached, stopped scaling, went unmaintained or were reached through their dependencies.

Foundations
03

Build It from Open Source? Count the Seams First.

What Curiosity Studio ships out of the box, what an assembled open source stack leaves your team to build, and why that matters for apps you describe and ship.

Build or buy
04

What a Search Score Means

What the number next to a search result is, how it is made, and why it is not a percentage.

Search scores
05

How Curiosity Processes Your Data

The steps data goes through in a Curiosity Studio system, from the connector that loads it to the interface your users see.

Data processing
06

What You Need Before You Start

The hardware, network, data, language model, people and permissions a Curiosity Studio project requires, and what a pilot can skip.

Setup requirements
07

An AI Admin You Can Approve

How Sudo, the admin assistant in Curiosity Studio, changes a production configuration without holding the authority to do harm.

Change control
08

The Vendor Lock-In You Always Wish You Had

Every AI platform locks you into something. That is a trade-off. Five layers where your work builds up, how Curiosity handles each, and how to test a vendor’s exit.

Platform choice
09

Inside Sudo: A Sandbox, a Diff, a Person

The sandbox, its limits and the approval mechanics behind Sudo, for platform admins and security architects.

Sandbox and approval
10

Working with Sudo

What to ask Sudo, how a request becomes one diff, how to review it, and how to teach the assistant.

Admin assistant
11

Modern Enterprise Search

The six layers of search, keyword, fuzzy, vector, hybrid, graph and agents: how each works, and where each belongs.

Search architecture

Your data. Your infrastructure.

Connected knowledge for AI systems