How to Configure Private AI Proofreading

A contract clause, a client email, and a personal draft do not deserve the same data path. That is the practical reason to configure private AI proofreading rather than treating every writing check as a cloud request. In uChecker, the default is local: selected text is checked on your Mac using Apple Intelligence or the offline spell-checker. A remote option exists, but it is an intentional Pro configuration, not the starting point.

That distinction keeps the workflow simple. Use local checking for everyday cleanup. Add a custom endpoint when its capabilities justify sending text to a service you have chosen and assessed.

Start with uChecker's local default

uChecker is a menu-bar proofreading and rephrasing utility for macOS. Select text in the app where you are writing, then use uChecker to see a corrected version in its own panel. The original text is not changed in place. You review the result and copy the version you want back yourself.

That manual copy-back is more than a workflow detail. It leaves the final edit with you. A suggested change to tone, terminology, punctuation, or meaning should be read in context before it reaches a message, manuscript, support reply, or code comment.

By default, uChecker performs checks on the device. Depending on what is available on your Mac, it uses Apple Intelligence or the offline spell-checker. For routine corrections, that is the sensible place to begin: no account is required, and there is no need to route text through a third-party AI service merely to catch a typo or improve a sentence.

Use a real but low-risk first sample

Before changing any AI settings, test the normal workflow with a short piece of text you can safely inspect. Select a paragraph with a few clear issues: repeated wording, an awkward sentence, or punctuation that needs attention. Send that selection to uChecker, then read the corrected version in the panel.

Check three things. First, did it preserve the facts? Second, did it retain the intended voice? Third, is the change actually better in the document's context? If the answer is yes, copy the revised text back manually. If not, leave the original in place or edit the suggested copy before using it.

This is also the right baseline for judging whether you need a hosted model at all. Many writing tasks are ordinary cleanup. Local processing is often enough, and it has the clearest data boundary.

Decide whether a custom endpoint is justified

uChecker Pro, available as a one-time purchase, can send checked text to an OpenAI-compatible or Anthropic-compatible endpoint that you configure. This is the specific exception to uChecker's on-device default. Once you use a custom endpoint, the selected text is sent to the service behind that endpoint for the check.

The question is not whether remote AI is inherently good or bad. It is whether the additional language capability is worth the different privacy, policy, and operational trade-offs for this particular text.

A remote endpoint may make sense when you need a model with a writing behavior your local option does not provide, or when your organization has already approved a particular AI provider or self-managed service. It may be the wrong choice for confidential client material, unreleased product plans, health information, legal communications, or anything covered by a policy that restricts external processing.

Do not treat compatibility as a privacy guarantee. OpenAI-compatible and Anthropic-compatible describe how an endpoint can work with the app. They do not tell you where the provider processes text, how long it retains requests, whether it logs prompts, or who can access those logs. Those are properties of the service you select.

Configure the optional endpoint with a clear boundary

Once you have Pro and have decided that remote checking fits the work, open uChecker's custom endpoint configuration and enter the connection details supplied by your chosen OpenAI-compatible or Anthropic-compatible service. Use the provider's current documentation for the exact endpoint and authentication information it requires. Do not guess at an address or reuse credentials from a different service.

Keep the setup narrow. Configure the service you intend to use, then test it with a harmless sample such as a made-up paragraph or a public sentence. Confirm that uChecker returns a result in its own panel, and review it before copying anything back. This verifies both the connection and the writing behavior without exposing real work during setup.

Before using the endpoint with production text, answer these questions in writing if the material belongs to a team:

• What service receives the selected text, and is it hosted by a vendor or operated by your organization?
• What does that service say about request retention, logs, model improvement, and data location?
• Which text categories are allowed, and which must remain local?
• Who owns the account and credentials, and how will access be removed when a person leaves the project?

These questions are not process theater. They turn an abstract privacy preference into a working rule. For example, a marketing team may permit a configured endpoint for public-facing drafts but require local checking for customer exports and internal roadmap notes. A solo writer may use remote help for a blog draft while keeping journal entries and client correspondence on-device.

Keep endpoint access separate from writing judgment

An endpoint can generate a stronger suggestion without understanding your obligation to be accurate. Proofreading can quietly alter a claim, soften a commitment, or replace a term that has a specific meaning in your field. That risk exists locally too, but it becomes easier to overlook when a result sounds polished.

Treat every output as proposed text. Compare it against the selected source, look for changes to names, numbers, dates, product terminology, and certainty, then copy back only what holds up. For sensitive work, a short selection is safer than sending a full document simply because it is convenient.

This is why uChecker's panel-based workflow matters. It creates a deliberate review point. The app gives you a corrected copy; you decide whether it belongs in the original.

Build a practical local-first routine

The strongest setup is usually not a permanent choice between local and hosted AI. It is a small decision rule that you can follow without slowing down.

Use uChecker's on-device default for personal notes, inbox cleanup, routine editing, and material that should not be sent to an external service. Use a configured endpoint only for text that is permitted to leave the Mac and where the remote model provides a clear benefit. If you are unsure which category applies, keep the check local until you have an answer.

For team use, document the rule beside the writing or security guidance people already follow. Keep it short: local by default; approved endpoint for approved content; no remote checks for restricted material. That is more useful than a vague statement that the team is "privacy conscious."

Revisit the decision when either side changes. A provider may revise its retention terms. A project may gain a new customer-data requirement. Apple Intelligence availability may differ across Macs. The right configuration depends on the text, the endpoint's actual policy, and the level of review the work demands.

Private by default does not mean refusing every remote tool. It means knowing when a request leaves your Mac, choosing that path deliberately, and keeping your hands on the final copy.