01

An intermediate output becomes a new input

If you convert Word to PDF and then compress it, the PDF created by the first step becomes the second step's input. It should therefore pass type and structural validation as if it were a new file.

02

Compatibility prevents impossible chains

Not every output belongs in every tool. Knowing the output type lets the system build a chain that can actually execute instead of presenting a clever-looking list of unrelated actions.

03

Temporary workspaces reduce leftovers

Each step needs temporary working files. Cleaning the previous workspace after the next step safely receives the artifact reduces how long files remain and makes processing boundaries easier to reason about.

04

AI can suggest; the server still verifies

Even when AI proposes a sensible path, real execution should validate tools, limits, and compatibility again on the server. A recommendation is never permission to bypass security rules.

05

Make failures visible and retryable

A trustworthy workflow should not hide which stage failed. The user should be able to distinguish validation failure from conversion failure or rejected output, and retry without being told that earlier steps succeeded when that was never verified. Clear failure boundaries also make support and debugging easier because the system can explain what was attempted without exposing private file contents or silently skipping a broken step.

06

Automation should not remove the final quality check

A chain can be technically valid and still produce an output that deserves visual or functional review. Open the final artifact, compare page count, size, searchability, or image quality according to the task, and retain the source when the result matters. Automation reduces repetitive work; it does not replace the human check needed to confirm that the final document still serves its intended purpose.