Autonomous
Patching.
Don't just detect drift; fix it. WUF.AI generates precise text diffs and pushes corrections directly to your CMS, codebase, or knowledge base.
The Patching Workflow
From detection to resolution in seconds.
1. Diff Generation
When a conflict is confirmed, WUF.AI uses an LLM to generate a precise text diff, rewriting the incorrect sentence to match the canonical truth while preserving the original tone.
2. Human Approval
Review the proposed changes side-by-side in the WUF.AI console. Approve, reject, or edit the patch before it goes live. (Auto-approval available for low-risk changes).
3. API Commit
Once approved, the engine uses integration adapters to push the change directly to the source system (e.g., updating a Webflow CMS item or opening a GitHub PR).
Adapter Pattern
WUF.AI doesn't just send you an email. It acts as an autonomous agent, interfacing directly with the APIs of your tools to apply corrections.
- CMS IntegrationUpdate rich text fields in Webflow, WordPress, or Contentful directly from the WUF.AI dashboard.
- Codebase IntegrationFor developer docs stored in Git, WUF.AI automatically opens a Pull Request with the proposed markdown changes.
- Policy-Driven AutomationConfigure rules to auto-approve patches for low-risk fields (e.g., updating a phone number) while requiring human review for critical claims.
Context Preservation
A simple find-and-replace breaks the flow of a document. WUF.AI uses LLMs to rewrite the surrounding text, ensuring the patch reads naturally.
- Tone MatchingWhether it's a formal legal contract or a casual blog post, the generated patch matches the voice of the original author.
- Formatting AwarenessThe patching engine understands Markdown, HTML, and rich text formats, ensuring links, bolding, and lists remain intact.
Rollback & History
Mistakes happen. WUF.AI maintains a complete version history of every patch applied, allowing you to revert changes instantly.
- One-Click RevertIf a patch causes an issue, click "Revert" to instantly restore the previous version of the text in the target system.
- Audit LogSee exactly who approved a patch (or which policy auto-approved it), when it was applied, and what the diff was.
Supported Targets
WUF.AI can push patches to the platforms where your content lives.
Patching FAQ
Can I review patches before they go live?
Yes. By default, all patches require human approval. You can review the proposed diff side-by-side, edit it if necessary, and then approve the push to the target system.
How does auto-approval work?
You can configure policies to auto-approve patches for specific, low-risk fields (e.g., updating a support email address across all help center articles) when the LLM's confidence score is extremely high.
What happens if a patch breaks formatting?
WUF.AI's patching engine is format-aware (Markdown, HTML, rich text) and uses context preservation to maintain the original structure. If something does go wrong, you can use the one-click revert feature to restore the previous version.