AI Text Cleaner Draft Intake and Cleaning Run (Delivery)

AI Text Cleaner Draft Intake and Cleaning Run (Delivery)

1. 01

   Open AI Text Cleaner in the browser and confirm the free tools load locally before pasting anything

   The free tier runs entirely in your browser, so no client draft leaves the machine during the scan. Verify this on the delivery workstation before a client engagement starts, not mid-deadline.

2. 02

   Paste the raw ChatGPT, Claude, or Gemini output into the invisible character scan field and run the scan report

   Run the hidden character scan first, before any Markdown stripping. The report tells the operator whether the draft carries non-standard whitespace or Unicode artifacts that would break a CMS paste.

3. 03

   Strip invisible Unicode characters and non-standard whitespace using the free removal tool

   This step stays on the free tier. Agencies should not burn Pro credits on character cleanup that the local tool handles at $0.

4. 04

   Run the Markdown Cleaner to convert headings, bold markers, and list syntax into plain text

   Do this before handing copy to a client CMS or social scheduler. Markdown residue is the most common cause of formatting breakage when a draft moves from an AI chat window into a publishing field.

5. 05

   Decide whether the draft needs Pro rewriting, and if so, check remaining credits against the client's monthly word allowance

   Starter gives 200 credits per month, roughly 20,000 Pro words, at $3. Professional gives 420 credits, roughly 42,000 Pro words, at $5. Log the credit draw per client so overages are visible before the billing cycle closes.

6. 06

   Run the Text Watermark Remover and AI Humanizer only on drafts flagged for statistical token-sampling patterns

   Reserve Pro rewriting for copy that detection tools flag or that a client has explicitly asked to humanize. Applying it to every draft exhausts the monthly credit pool on work that did not need it.

7. 07

   Log the cleaned draft against the client's word count and hand off to the editor or CMS queue

   Record words processed, credits spent, and whether Pro rewriting was used. This log is the evidence base for metering client access or absorbing overages inside a flat retainer.