Inspect your app’s AI activity

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 Inspect your app’s AI activity working in a real project rather than a sandbox.

   Set up Inspect your app’s AI activity in this project — monitor your AI usage with detailed activity reports. 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

   Track how much an in-app AI feature is costing per month

   The record lists this as one of the jobs Inspect your app’s AI activity is meant for, so it is a fair first test of whether it fits your app.

   In this project, use Inspect your app’s AI activity for track how much an in-app AI feature is costing per month. 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

   Inspect your app’s AI activity 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 Inspect your app’s AI activity before I publish. Check track AI feature costs and monitor the performance of AI calls, 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

   Spot a slow AI request by reviewing individual call status

   A second job the record lists for Inspect your app’s AI activity, useful once the first path works.

   Extend this project so Inspect your app’s AI activity also covers spot a slow AI request by reviewing individual call status. 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 Inspect your app’s AI activity?

  Inspect your app’s AI activity is Lovable's AI Models feature: Monitor your AI usage with detailed activity reports. Every project now features an AI activity dashboard that displays costs and performance metrics of built-in AI features, allowing users to track spending and identify performance issues, ensuring better management of AI resources.

• Is Inspect your app’s AI activity GA or in beta?

  Inspect your app’s AI activity is generally available (GA) on Lovable.

• What Lovable plan includes Inspect your app’s AI activity?

  Inspect your app’s AI activity is available on all Lovable plans.

• When did Inspect your app’s AI activity launch?

  Inspect your app’s AI activity launched on Jun 18, 2026.

• Add voice to your app with text-to-speech and speech-to-textSame category, also GA · Jun 2026
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• Better standard image generation while buildingSame category, also GA · Jun 2026