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Evolving Your Software

Your workspace should keep changing as your needs change.

That might mean adding a new view, replacing a workflow, tightening approvals, connecting a new service, or exposing part of the workspace to a wider audience. The workspace should be able to grow without turning into a confusing rebuild every time.

The kinds of changes people usually make​

Most changes fall into a few familiar groups:

  • add a new view
  • change what the main view focuses on
  • connect a new service
  • replace or split an AI team member role
  • add a hook for a hand-off that has become too important to leave flexible
  • tighten approvals for sensitive actions
  • expose part of the workspace through a shared view

Sometimes one request touches several of those at once.

How to ask for a change​

When you ask Worka to change an existing workspace, make the change concrete.

Good examples:

  • “Add a customer-facing status view.”
  • “Split intake and review into two AI team members.”
  • “Keep the current main view, but add a second view for approvals.”
  • “Connect our shared Google Calendar and automatically add confirmed bookings.”

That helps Worka distinguish between:

  • a local change to one part of the workspace
  • a broader redesign of how the workspace works

What Worka should preserve​

When the workspace changes, Worka should try to preserve:

  • the parts that already work well
  • the connection history and approvals already in place
  • the visible reason for the change
  • the usability of the main workspace while the change is in progress

Changing a workspace should feel like extending a real system, not discarding it and starting from scratch.

What to review when a change is proposed​

Review change requests the same way you review the first plan, but with extra attention to impact.

Check:

  • what is being added
  • what existing behaviour will change
  • whether a new service or pack is required
  • whether the main view is still the right main view
  • whether approvals or hooks need to change as well

This is where Worka either proves it can evolve a workspace cleanly or shows that it only knows how to generate a first draft.

Small changes versus structural changes​

Not every change needs the same level of caution.

Small changes​

Examples:

  • adjust copy
  • improve one view
  • add one low-risk service connection
  • refine a hand-off rule

These should usually feel straightforward.

Structural changes​

Examples:

  • change the main view
  • replace the workflow structure
  • introduce browser control
  • expose the workspace externally
  • split one broad AI team member into several roles

These deserve a more careful review because they change how the workspace behaves, not just how it looks.

How to keep the workspace understandable as it grows​

The more the workspace evolves, the more important it becomes to keep the model clear.

After a change, you should still be able to explain:

  • what the workspace is for
  • which view people should open first
  • which AI team members do what
  • which services are connected
  • which actions still require approval

If a change makes those answers harder instead of clearer, it is probably the wrong change or the wrong time for it.