Data Training Opt-Out

Example workflows

Starting points built from this record, not transcripts of a run. Each prompt is written the way it should be sent, as one paragraph, and each is worth editing before you send it.

1. 01

   Stand it up from scratch

   You have read the record and want Data Training Opt-Out working in a real project rather than a sandbox.

   Set up Data Training Opt-Out in this project — self-serve opt-out from AI model training for workspace data. Walk it end to end, tell me exactly what you changed, and flag anything I have to switch on myself before it works.

   Expected outcome

   A working setup, a plain list of what changed, and a short list of anything left for you to switch on. Check that list before assuming it is done.

2. 02

   Compliance with internal data policies

   The record lists this as one of the jobs Data Training Opt-Out is meant for, so it is a fair first test of whether it fits your app.

   In this project, use Data Training Opt-Out for compliance with internal data policies. Build the smallest version that a real user could complete end to end, keep the change scoped to that path, and tell me how to test it myself.

   Expected outcome

   One complete path a user can walk, the files and settings that changed, and the steps to test it. Walk it yourself before you ship it.

3. 03

   Review it before you publish

   Data Training Opt-Out is wired in and you are about to put it in front of people. This is the pass that catches the half-configured version.

   Review how this project uses Data Training Opt-Out before I publish. Check self-serve workspace opt-out (Business/Enterprise) and support-driven opt-out (Free/Pro), list anything that is missing, misconfigured, or only half wired, fix what is safe to fix, and tell me what you left alone and why.

   Expected outcome

   A findings list split into what was fixed and what was left, with a reason for each. Anything left alone is yours to decide on.

4. 04

   Protecting proprietary code

   A second job the record lists for Data Training Opt-Out, useful once the first path works.

   Extend this project so Data Training Opt-Out also covers protecting proprietary code. Reuse what is already wired rather than adding a parallel setup, and tell me what you reused and what is new.

   Expected outcome

   A second path built on the same setup, plus a note on what was shared and what was added.

Frequently asked

• What is Data Training Opt-Out?

  Data Training Opt-Out is Lovable's Security feature: Self-serve opt-out from AI model training for workspace data. Workspace admins on Business and Enterprise plans can self-serve disable use of workspace data for model training.

• Is Data Training Opt-Out GA or in beta?

  Data Training Opt-Out is generally available (GA) on Lovable.

• What Lovable plan includes Data Training Opt-Out?

  Data Training Opt-Out is available on Lovable's Business and Enterprise plans plan.

• When did Data Training Opt-Out launch?

  Data Training Opt-Out launched on Sep 1, 2025.

• Real-Time Security ProtectionSame category, also GA · Aug 2025
• Sharing ControlsSame category, also GA · Aug 2025
• Workspace SSO (OIDC + SAML 2.0)Same category, also GA · Aug 2025