Q2 complaint rate fell from 3.2% to 2.4%. Owner: Mina Lee. Follow-up deadline: July 31. Budget cap: $80,000. The raw customer list must not be shared externally.
FINISHED EXAMPLE / RESULT FIRST
The AI improved this report—and made four kinds of edits you should not ship blind.
Numbers, dates, locked facts, and negation are pulled out first. Ordinary wording can move forward; high-signal changes stay yours to decide.
Q2 complaint rate fell from 3.2% to 2.1%, showing stronger progress. Owner: The team. Follow-up deadline: July 30. Budget: $80,000. The raw customer list may be shared externally.
USE YOUR MATERIAL
Paste the before and after. Get an item-by-item review immediately.
No signup, upload, model choice, or plugin. Start with redacted plain text; rich formatting and real-world verification are outside this prototype.
Current result
Your item-by-item review
High-signal edits keep the original by default. You can explicitly accept any edit.
4
1
- A structured value changed · percentage
∅
, showing stronger progress
Mina
The
- A locked fact changed or disappeared · Mina Lee
Lee
team
- A locked fact changed or disappeared · Mina Lee
31
30
- A structured value changed · date
cap
∅
must not
may
- A constraint, negation, or obligation changed · must not
Q2 complaint rate fell from 3.2% to 2.4%, showing stronger progress. Owner: Mina Lee. Follow-up deadline: July 31. Budget: $80,000. The raw customer list must not be shared externally.
This is still a synthetic example. It does not count as real task completion.
WHAT IT ACTUALLY DOES
The rules are public. Every warning is explainable.
Version one calls no AI. When meaning is uncertain, it hands the edit to a person instead of showing “safe.”
Retain unchanged, deleted, and added fragments in character, word, and paragraph order.
Deterministically identify published formats for numbers, percentages, money, dates, times, email, and URLs.
A change to an owner or project name you explicitly lock requires human review.
When a sentence containing must not, never, required, and similar terms changes, it flags the edit without deciding which version is right.
WHY THIS, NOW
Leading products are turning AI edits into work people can preview and approve.
These first-party sources show a converging product pattern. They do not prove BitShovel demand, partnership, or user completion.
Its public product update adds inline editing within diffs and user approval for important actions.
A capability signal, not evidence of BitShovel user demand.Proofreading and rewriting appear as before-and-after changes that can be accepted or rejected individually.
A maker changelog with no everyday-user completion rate.Suggested changes to shared documents are previewed and not added before user approval.
A specific product capability—not partnership, endorsement, or fact checking.BitShovel independently reviewed and tested this prototype. No cited company or product participated in, approved, or endorsed it.
This is not another do-everything AI tool.
It fills one last-mile gap: after AI edits, help an everyday user see and decide what changed. The standalone work-handoff example remains available, and both paths will keep earning evidence through real tasks.