Generate Files and Data Analysis

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 Generate Files and Data Analysis working in a real project rather than a sandbox.

   Set up Generate Files and Data Analysis in this project — run Python/Node in chat to analyze data and produce downloadable files. 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

   Ad-hoc data analysis on uploaded CSVs

   The record lists this as one of the jobs Generate Files and Data Analysis is meant for, so it is a fair first test of whether it fits your app.

   In this project, use Generate Files and Data Analysis for ad-hoc data analysis on uploaded CSVs. 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

   Generate Files and Data Analysis 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 Generate Files and Data Analysis before I publish. Check python and Node code execution and output PDF, DOCX, PPTX, XLSX, images, MP4, MP3, 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

   Generating one-off reports as PDF

   A second job the record lists for Generate Files and Data Analysis, useful once the first path works.

   Extend this project so Generate Files and Data Analysis also covers generating one-off reports as PDF. 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 Generate Files and Data Analysis?

  Generate Files and Data Analysis is Lovable's Workflow feature: Run Python/Node in chat to analyze data and produce downloadable files. Generate Files runs scripts in an isolated Linux environment with pandas, matplotlib, and psql preinstalled, returning downloadable outputs (PDF, DOCX, PPTX, XLSX, CSV, MP4, MP3, etc.) without modifying the project's source code.

• Is Generate Files and Data Analysis GA or in beta?

  Generate Files and Data Analysis is generally available (GA) on Lovable.

• What Lovable plan includes Generate Files and Data Analysis?

  Generate Files and Data Analysis is available on all Lovable plans.

• When did Generate Files and Data Analysis launch?

  Generate Files and Data Analysis launched on Apr 2, 2026.

• Command Palette (⌘K)Same category, also GA · Apr 2026
• Beyond Apps (Data, Docs, Media)Same category, also GA · Mar 2026
• Lovable Desktop for WindowsSame category, also GA · Apr 2026