How to automate work across desktop apps
Start with the source, name the destination, and review the result
To automate a cross-app task with an AI agent, identify the source information, specify the destination artifact, and define the checks that make the transfer correct. Denker is an interface for AI agents that lets you point, draw, talk, or type from the source app and review the returned result. Then choose connected tools, browser interaction, or screen control according to the apps involved. The AI agent interface should help you show the relevant context and inspect the result; clicking through several apps is not enough to prove the work is complete.
Describe the transfer in one concrete sentence
A useful handoff names the work: take these receipts from Mail and create rows in this expense sheet, with merchant, date, currency, amount, and a link back to the source. This is more precise than asking an agent to organize expenses. It defines the input, destination, and meaning of a successful result before the agent starts.
Include the exceptions that matter. Ask it to flag unreadable amounts, leave uncertain fields empty for review, and avoid inserting a receipt that already has a row. If the source has several currencies, keep them separate instead of adding unlike amounts into one total.
Use the interface to show the relevant context
With Denker, begin where the work already is. Point at the email, draw around the relevant selection, or talk while the source is visible. Name the destination sheet or document as well. A selection provides a starting reference; it does not automatically grant access to every other item in the account.
For a multi-step handoff, confirm the scope in plain words before execution: which items are included, which destination will change, and what should remain a draft. Keep unrelated windows and sensitive material outside the context you intend to share.
Choose a transfer method for each step
A connected tool can read or write structured information when the app exposes a suitable integration. Browser interaction can work with a web page. Desktop control can operate a visible interface when other methods do not cover the task. These methods can coexist in one workflow; they are different execution paths, not different levels of product quality.
Before letting the agent continue, check the account, permissions, destination, and supported action. A successful sign-in does not prove that an integration can write the requested field. When the tool cannot complete a step, ask for the specific limitation and choose another route rather than assuming a silent fallback succeeded.
Make the review point part of the task
For the receipt example, review a small first batch. Compare the original receipt with its row: merchant, date, currency, amount, and any source reference. Confirm that the agent used the intended sheet and did not overwrite headings or unrelated rows. Only continue to the next batch after the destination is right.
Email follow-through needs a different review. Ask for a reply draft based on selected messages, check its facts and recipients, and send it yourself. Denker's public guidance keeps email and message sending with the user. Writing a draft and sending a message are separate outcomes.
Recover from an interruption without duplicating work
If a window changes, an app signs out, or a write has an uncertain result, inspect the destination before retrying. A timeout does not tell you whether the earlier action completed. Compare what is present with the original task and continue from the confirmed state.
Ask for a short account of completed items, skipped items, and unresolved steps. Keep source identifiers where available so repeated runs can recognize work that already exists. Recovery belongs in the workflow definition, particularly for transfers that create rows, tasks, or documents.
Treat demos as examples and your destination as evidence
Denker's homepage illustrates invoices moving from Mail into Excel, dictation with marked Sheets context pasted into a Gmail reply, and meeting notes becoming tasks with a dashboard ready for review. Those scenes use invented sample data. They explain the interaction model but do not establish that an arbitrary account or app combination will work without setup or correction.
For your first real workflow, record the source, handoff, permissions, corrections, and final artifact. Judge the result by what is actually in the destination. Once that small task is repeatable, expand the scope gradually or move stable steps into a reusable automation.
Frequently asked questions
What is cross-app AI automation?
It is a task whose information or work moves between apps, such as turning emails into a reply draft or receipts into spreadsheet rows. Define the source, destination, and review checks before execution.
Does every cross-app task require screen control?
No. Connected tools can handle supported structured actions, while browser or desktop interaction can cover visible interfaces. Choose the method for each step.
How can I prevent duplicate rows or tasks?
Specify how existing items should be identified, review a small batch, and inspect the destination after an uncertain write before retrying. Do not treat an interrupted run as proof that nothing happened.
Does Denker send the reply after drafting it?
Denker's public guidance leaves messages and emails as drafts for the user to review and send. Include that review point in the task.