AI app guides
Emergent fork or rollback: choose by the state you want to preserve
Decide whether to undo a mistake or explore a separate direction, and inspect the data implications first.
Zocri · 2 min read · Sources checked
Describe what went wrong
Emergent distinguishes a fork, which creates an independent project, from a rollback, which returns the current project to an earlier state. If a recent edit broke a working page and you want the previous behavior back, undoing that edit may be the relevant question. If the current app works and you want to explore a different workflow, preserving both directions is more useful.
Write down the state you care about: code, customer records, uploaded files, configuration and the public address. These are separate concerns. A feature that copies an app or restores code does not by itself answer what happens to every other part of the operating system.
Protect the working reference
Before experimenting, record the current version and a short journey that proves it works. Include a representative record you can recognize later. Use a safe copy of data for experiments where possible, and decide who can access it before sharing the experimental project.
Give the experiment a purpose and a descriptive name, such as a new repair approval flow. Keep a list of changes you are trying. Without that record, a fork can accumulate unrelated work until it becomes unclear which version should become the business's next release.
Inspect the publishing decision
When an experiment is ready, read the options presented for that exact publishing flow. Check whether it will replace an existing live app, create a separate live app or require a choice about stored data. Do not infer that choice from the word fork alone.
Verify the necessary connections and settings without copying secrets into conversation. Confirm that existing records remain readable where intended, and test new records independently. If the operation's data consequences are unclear, resolve that uncertainty with the current documentation or support before changing the live application.
Return with an explicit outcome
An experiment should end with a decision: keep the original, adopt the new version or preserve a specific learning for later. Record why. Remove unnecessary running experiments through the proper controls after checking that nothing valuable depends on them and that the owner agrees.
For a rollback, repeat the original working journey after the operation and inspect affected records. For a successful fork, make the same check on the intended published address. Recovery is complete when the desired state has been observed, not merely when an operation reports that it finished.