How to hand work between AI agents without losing the result

A team of agents can split research, writing and implementation. It can also produce three separate reports that nobody combines into the requested result. The fix starts before the handoff: give each piece a clear owner, input, expected output and a way to check it.

Define the result before splitting the work

Take a launch page as an example. The goal is not “three agents discussed a launch page.” It might be “a page exists at the agreed address, the copy matches the product, and the links work.” Separate tasks only where the work is genuinely independent: research can check source material while design develops a layout. The person or agent coordinating still needs to assemble the result and check it end to end.

For each handoff, include the project, relevant files or sources, constraints, deliverable and what counts as done. Ask for evidence: the address tested, a file path, a test result or the exact limitation. Distinguish a draft, a committed change and a deployed page. They are not interchangeable.

Avoid duplicate starts

Before assigning a new task, check whether the same work is already in progress. Decide whether assignment itself starts work in your system; if it does, starting a separate delegation for the same job can create duplicate effort. If two people need to work in parallel, define separate outcomes and where their changes should go.

Check the handoff in APX

APX’s task guide describes a shared board, task conversations and assignment that starts a work session, with exceptions such as proposals or scheduled work. It says agents are instructed to check for existing work, but that this is not automatic semantic duplicate detection. Use the task’s status and conversation to follow progress; check the actual artifact or public result before treating the work as complete.

The APX vs Paperclip comparison outlines their documented approaches and links to primary sources. Try the same handoff in any tool you consider, and check what stays visible after an interruption. APX publishes this article and has an interest in the comparison; it is not a benchmark.