Compare Two Versions of a Prompt
See exactly what changed between v1 and v2 of a prompt — added, removed, and modified instructions, plus whether the revision reduced or introduced risk.
Support prompts carry policy. A worked revision showing how to evolve one without dropping the boundary that keeps replies inside policy.
A customer support prompt is operational policy wearing a prompt's clothes: the refund boundary, the escalation rule, the promise discipline. That makes revisions higher-stakes than they look — an edit that improves warmth while loosening the boundary is a net regression with a friendly face. This resource diffs a realistic support prompt revision and shows the safe pattern: tone and structure can move freely, policy lines must appear unchanged or strengthened in the diff, never in the removed list.
Diff the loaded revision
Version B reworks tone and adds structure. Run the diff and go straight to the removed list — it should be empty of policy lines.
Verify the boundaries
Both policy lines survive in the modified list, strengthened: verification got a timeline, escalation got a third trigger.
Check what tone edits added
'No generic empathy lines' is a constraint, not fluff — it shows as added control, not added ambiguity.
Apply the rule
For support prompts: policy lines may appear in added or modified, never in removed. One glance at the diff enforces it.
Run the diff and go straight to the removed list — the rule is that policy lines like "Refunds only after the duplicate charge is confirmed" and the chargeback/legal escalation trigger may appear in added or modified, never in removed. In Version B both survive strengthened. The prompt-version-diff shows the movement; confirming the policy intent held is your review, not a compliance guarantee.
This resource treats "no generic empathy lines" as added control, not added ambiguity — a constraint that shows up in the added list rather than fluff. It illustrates the safe pattern: tone and structure can move freely in a revision as long as the diff shows policy lines strengthened or intact. Whether the reworked wording actually stays inside policy is still a human judgment.
See exactly what changed between v1 and v2 of a prompt — added, removed, and modified instructions, plus whether the revision reduced or introduced risk.
A lightweight way to track how a prompt changes over time: keep the previous version, diff every revision, and read the risk deltas instead of guessing.
A worked marketing prompt revision — from adjective soup to offer-driven — with the diff showing exactly which changes carry the improvement.
A side-by-side way to decide between two ChatGPT prompt drafts — scored on clarity, specificity, output control, and risk instead of gut feeling.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Diff two versions of the same prompt — added, removed, and modified instructions, plus risk changes.