Cross-App Workflows
One prompt, multiple apps. The agent reads a spreadsheet, runs a script, pastes results into a presentation, and logs the outcome — all in a single workflow.
Impact
What changes
Without Lapu AI
A founder spends 45 minutes each Monday pulling numbers from three different apps, running a report script, formatting the output, and pasting it into a presentation for the team standup.
With Lapu AI
Lapu AI does the entire workflow from a single prompt — reads the data, runs the script, generates the chart, and places it in the presentation. The founder reviews and approves each sensitive step.
The challenge
Real work rarely lives in a single application. You pull data from a spreadsheet, run a script in the terminal, paste results into an email, update a project tracker, and log the outcome somewhere else. Each context switch costs time and introduces errors. No single tool connects all these steps.
How Lapu AI solves this
Lapu AI chains its 15+ tools into multi-step workflows. A single prompt can trigger File Read to pull data, Shell to run a transformation, Desktop Automation to paste results into another app, and File Edit to log the outcome. The agent reasons through the full sequence, picks the right tool at each step, and handles transitions between file system, terminal, and desktop apps. You approve sensitive actions along the way.
Every tool invocation is logged in the audit trail. Sensitive actions require per-step approval.
Workflow
How it works
Describe the end-to-end task
Tell the agent what you need from start to finish — for example, 'Pull the latest metrics from the CSV, generate a chart with Python, and paste it into the Keynote presentation on slide 3.'
The agent plans the tool chain
The agent breaks your request into steps and selects tools: File Read for the CSV, Sandbox Execute for the Python chart, Desktop Automation to open Keynote and navigate to slide 3, and Desktop Automation again to paste the chart.
Execute step by step with approvals
The agent executes each step in sequence. Low-risk actions (file reads) can be auto-approved. High-risk actions (desktop clicks, file writes) require your confirmation. The agent adapts if something fails.
Try it yourself
What you would type
Copy any of these into Lapu AI to get started immediately.
>Read the client list from clients.csv, generate a personalized email draft for each using the template in template.txt, and save them as separate files in the outbox/ folder.
>Pull the latest sales data from the spreadsheet, run the monthly report Python script, and paste the summary chart into the Keynote presentation.
>Search the codebase for all TODO comments, compile them into a markdown file, and create a Linear ticket for each one using the Linear app.
Ready to try this workflow?
Download Lapu AI and run it on your own machine. Free to start.
Download for freeFAQ
Common questions
How many tools can a single workflow use?
There is no hard limit. The agent can chain any combination of its 15+ tools in a single workflow — File Read, Shell, Grep, Glob, Desktop Automation, Sandbox Execute, Skills, and more. The agent loop continues until the task is complete or it needs your input.
Can I save a workflow and reuse it?
Yes. Lapu AI supports reusable workflows that can be saved and scheduled to run automatically. Turn any conversation into a repeatable automation.
What happens if a step fails?
The agent's reasoning loop includes error handling. If a step fails — a file is missing, a command returns an error, a UI element is not found — the agent pauses, reports the issue, and either adapts its approach or asks for your input.
Explore more
Related use cases
Desktop Automation
Stop copy-pasting between apps. The agent sees your screen, clicks buttons, fills forms, and moves data between applications — so you do not have to.
See how it worksDataData Processing
Describe the transformation you need in plain English. The agent writes and runs the Python script, shell pipeline, or Node job — you just approve and get clean output.
See how it works