Make the finish line inspectable
A prompt can communicate an idea without settling what the finished software must do. “Add team invitations” leaves important decisions open: who can invite someone, when an invitation expires, and what happens if the recipient already has an account. An agent can produce working code while making different choices from the people who requested it.
A specification brings those choices into the open. Describe the intended behavior, constraints, exceptions and evidence of completion. The implementation plan then explains how to deliver that behavior within the existing system. Keeping those purposes distinct makes it easier to change a technical approach without quietly changing the requirement.
Turn one request into a testable piece of work
Consider an invitation flow. The mission might be to help team administrators bring colleagues into a workspace. A spec could say that only an administrator can invite, an existing member cannot be invited again, and an expired invitation explains how to request another. These are example requirements, not claims about CrowdBuilder account behavior.
The plan identifies the affected screens, service boundaries and verification method. Tasks divide that plan into changes that can be reviewed independently. Before execution, ask whether “administrator” is already defined, whether expiry has an agreed duration, and what the recipient should see when a link fails. Those questions prevent an apparently precise plan from carrying unresolved product decisions into code.
GitHub’s Spec Kit provides an open-source example of this approach. Its agentic spec-driven workflow separates specification, clarification, planning and implementation work. That is a useful reference for trying the method within a repository; it does not establish that every project needs the same process.
Choose the structure that the change needs
The useful distinction is how much intent survives between a request, implementation and review. The following comparison describes working approaches rather than a benchmark of particular products.
Swipe or scroll to compare all columns.
| Question | Prompt-led work | Spec-driven work |
|---|---|---|
| Where is the expected behavior? | In the conversation and its follow-up answers. | In an explicit spec that can be reviewed alongside the change. |
| How are open decisions handled? | Often resolved as implementation progresses. | Clarified before planning where they affect scope or correctness. |
| What guides review? | The original request and the reviewer’s interpretation. | Agreed behavior, constraints and evidence of completion. |
| What does it cost? | Less preparation for a small, obvious change. | More preparation and a spec that must stay current. |
Carry the agreement through execution
CrowdBuilder’s spec-driven development workflow organizes work into mission, spec, plan and task layers. Readiness audits surface open decisions, constraints and edge cases before execution. Runs are versioned and revertible, with the ability to list, inspect, compare and roll them back. That combination is useful when the team needs shared structure across work, rather than a process maintained by one developer’s prompting habits.
A spec still needs an owner who can resolve ambiguity. Verification must exercise the implemented behavior; agreement on paper cannot prove correctness. When discovery changes the requirement, update the agreement and explain the change instead of treating an old spec as permanent truth.
Start with a feature whose edge cases matter. Keep its specification short enough to read during review, and connect each important requirement to a practical check. For a spelling correction, the request and a visual check may be sufficient. For a shared workflow, explicit decisions give both people and agents a more dependable basis for delivery.