curiosity

Whitepaper · Platform choice

The vendor lock-in you always wish you had

Every AI platform locks you into something. That is a trade-off, and you can choose it. This paper sets out what you trade, how Curiosity handles each part, and how to test any vendor’s exit before you sign. Written for the people who choose.

For CIOs and enterprise architects Chapters 6, and a glossary Pages 24 Date October 2026

What it covers

Lock-in is a trade-off. Choose it on purpose.

Any useful system collects your work: joined records, rules for who sees what, tools people rely on. Whichever platform you pick, you accept a trade-off. With Curiosity, what builds up lives in your own context, on your own servers, in files you can read.

  1. Layer 01

    Model

    Prompts, tuning, habits

  2. Layer 02

    Data

    Records and their links

  3. Layer 03

    Permissions

    Who may see what

  4. Layer 04

    Logic

    Schemas, tools, agents

  5. Layer 05

    Runtime

    Servers, keys, operations

Chapters

Six chapters, from the problem to the exit

01 · Page 03All five layers

Every platform locks you in

The problem for any platform: waiting and building it yourself are lock-in too.

02 · Page 07Model

Curiosity lets you swap the AI model

How Curiosity does it: the model is a setting, not a contract.

03 · Page 09Data · Permissions

Curiosity lets you take your data out

How Curiosity does it: readable export first, then nothing migrated in.

04 · Page 13Logic · Runtime

Curiosity keeps what you build in your git

How Curiosity does it: schemas, endpoints and agents as files you hold.

05 · Page 15All five layers

What you are still locked into with Curiosity

How Curiosity does it: the cost of leaving is the value you built.

06 · Page 17All five layers

Six questions to ask any vendor

The questions apply to any vendor, and we answer them for Curiosity.

The full paper

Stay because it works. Not because you cannot leave.

Download the PDF

Your data. Your infrastructure.

Connected knowledge for AI systems