I care less about whether an agent can rewrite a product spec and more about whether the team can tell what changed, why it changed, and who is willing to own the result. That is the useful signal in Linear's July 23, 2026 release for text attribution and agent-assisted editing: agent-written text is not treated as invisible polish. It is highlighted, attributable, and reversible.
That makes agent editing feel less like a magic document feature and more like a product delivery control. If a spec, project description, or stakeholder update can steer implementation work, then agent edits need the same boring gates we already expect around pull requests.
The gate I would add
I would add one lightweight gate before any agent-edited spec becomes execution-ready:
- Show attribution before review.
- Compare against the previous checkpoint.
- Require a human owner for changed scope, changed constraints, and changed commitments.
- Link the accepted spec to the issue, project, or pull request that will execute it.
- Leave rejected agent edits in history, not in team memory.
That is deliberately small. The point is not to create a new ceremony. The point is to stop treating AI-written planning text as harmless just because it is not code.
I wrote about recurring agent work in a runbook for recurring product agents. This is the sibling rule for the document layer: recurring work needs a stop condition, and recurring document edits need provenance.
Why attribution matters more than tone
Linear now lets teams show author names in documents and project descriptions, including whether text came from a colleague or from a loop. Linear's document docs also say agent edits are highlighted separately, and that agent edits or loop changes create version history checkpoints.
That is the right primitive. In product work, the dangerous part of agent editing is rarely the grammar. It is a quiet change to a constraint.
A support note becomes a requirement. A maybe becomes a deadline. A mitigation becomes a promise. A known limitation disappears because the sentence was awkward.
When I review an agent-edited spec, I want attribution visible before I judge the prose. If the document reads well but the ownership boundary changed, the edit is not ready.
The lazy operating rule is simple: hide attribution only after approval, never before review.
What needs human ownership
Not every edit deserves attention. Rephrasing a paragraph, tightening a list, or fixing a repeated sentence should not summon a meeting. The review gate should focus on the parts that change delivery behavior.
I would ask reviewers to mark only five kinds of changes:
| Change type | Reviewer question |
|---|---|
| Scope | Did the edit add, remove, or reorder user-visible work? |
| Constraint | Did it change a technical, legal, design, or support limit? |
| Acceptance | Did it change how we know the work is done? |
| Commitment | Did it create a date, owner, pricing claim, or launch promise? |
| Evidence | Did it remove a source, customer quote, metric, or known risk? |
Everything else can stay lightweight. That is the product version of code review triage. Review the parts that can send the team in the wrong direction.
Checkpoints beat comments
Comments are useful for discussion, but they are a weak audit trail. A resolved comment can tell you a concern existed. A version checkpoint can show exactly what text crossed the line from draft to accepted plan.
This is where Linear's version history is more important than the agent itself. A document or project description can be reverted to an earlier checkpoint. Agent edits and loop changes create their own checkpoints. That gives the team a recovery path when a spec drifts.
My default gate would be:
- One checkpoint before agent editing starts.
- One checkpoint after the agent's proposed edit.
- One checkpoint after human acceptance.
That is enough for most teams. If the spec later becomes controversial, you can inspect the exact transition without reconstructing it from Slack threads.
The code review analogy is useful, with limits
GitHub's Copilot code review docs make an important boundary explicit: Copilot leaves a comment review, not an approval or request-changes review, and its comments do not block merging. Humans still own the merge decision.
That is the same posture I want for product specs. Agent edits can suggest clearer requirements, fill missing edge cases, and pull context into one place. They should not silently approve the plan they just changed.
For AI features, I previously argued for an eval gate before launch. A provenance gate is earlier in the chain. It protects the plan before the team starts measuring whether the build worked.
Where this breaks
This gate breaks if the team treats attribution as a blame feature. The point is not to shame anyone for using an agent. The point is to preserve decision quality when many hands, human and automated, can edit the same source of truth.
It also breaks if teams overfit the process to one tool. Linear has a strong implementation here, but the pattern is broader. Atlassian describes Rovo agents as configurable teammates that can work in Jira and Confluence, including editing work items and pages with permission. Any tool that lets agents edit planning artifacts needs a provenance story.
The question I would ask during procurement is not, "Can the agent write a better spec?" It is, "Can we see, review, approve, and revert the parts of the spec the agent changed?"
A small rollout plan
I would not turn this into a company-wide policy first. Pick one active project where docs already drive implementation. Enable attribution. Ask the project owner to review only the five change types above. Keep the gate for two weeks.
At the end, measure three things:
- How many agent edits changed scope or acceptance criteria?
- How often did version history help explain a decision?
- Did the gate catch a real misunderstanding before engineering started?
If the answer to all three is no, the team may not need the gate yet. If the answer to any is yes, keep it and make it part of the project-ready checklist.
The next useful product delivery skill is not letting agents write more planning text. It is making every accepted edit traceable enough that a team can move faster without losing the thread of its own decisions.