Implementation BlueprintExecution layer

AI Text Cleaner Editorial Hygiene Retainer (6-8 days)

Build a repeatable cleaning and watermark-removal retainer around AI Text Cleaner's local browser tools and Pro rewriting credits, so agencies can hand clients CMS-ready copy without server uploads. Time: 6-8 days.

By InnovaAI ResearchPublished

Copywriting Tools

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Blueprint

AI Text Cleaner Editorial Hygiene Retainer (6-8 days)

Build a repeatable cleaning and watermark-removal retainer around AI Text Cleaner's local browser tools and Pro rewriting credits, so agencies can hand clients CMS-ready copy without server uploads.

Prerequisites
  • One AI Text Cleaner account per delivery seat, with the Free tier validated first (invisible character removal and Markdown cleaner run entirely in the browser)
  • A client draft intake channel (shared doc, email alias, or scheduler export) mapped to the agency's editorial calendar
  • Written confirmation of the client's CMS or social scheduler so the cleaning checklist targets the right paste target
  • A credit budget decision: whether the agency absorbs Pro overages or meters client access against the Starter 200 credits/month ceiling
  • Baseline word volume per client, since Starter covers roughly 20,000 Pro words/month and Professional roughly 42,000
Execution Timeline
  • 1.Open AI Text Cleaner accounts for each delivery seat and run the Free tier on three real client drafts to confirm browser-side cleaning works on the team's machines
  • 2.Log which drafts need only Unicode and Markdown stripping versus which need Pro rewriting, since the free tools never upload text to a server
  • 1.Map one client's AI draft intake (ChatGPT, Claude, or Gemini output) into a paste-and-scan routine
  • 2.Run the hidden character scan report on a sample batch and record every invisible Unicode and non-standard whitespace pattern found
  • 1.Draft the client-specific cleaning checklist covering Markdown stripping, whitespace normalization, and the order of operations before CMS paste
  • 2.Test the checklist against the client's actual CMS field limits and note where formatting breaks
  • 1.Activate the Starter plan at $3/month and spend the first credits on watermark removal for drafts the client flagged as detection-sensitive
  • 2.Compare pre- and post-rewrite drafts side by side and record which sentence patterns the AI humanizer actually changes
  • 1.Set a credit meter per client: track words processed against the 200 credits/month Starter allowance and flag any client trending past roughly 20,000 words
  • 2.Decide the escalation rule for moving a heavy client to Professional at $5/month for 420 credits and roughly 42,000 words
  • 1.Package the workflow into the client-facing retainer scope: intake, cleaning pass, watermark pass, and delivery format
  • 2.Write the handoff note explaining that cleaning runs locally in the browser while Pro rewriting consumes credits
  • 1.Run a full live cycle on one week of client drafts and time each stage
  • 2.Fix any step where the team re-pastes text or loses the cleaned version between tools
  • 1.Publish the internal runbook and the client-facing scope sheet, then set the monthly usage review cadence
  • 2.Confirm the retainer price against the $3 to $5/month tool cost and the delivery hours logged in the live cycle
$3-$5 per delivery seat per month on Starter or Professional, plus $0 for the Free tier used during setup; a five-seat agency runs roughly $15-$25/month in tool cost before any overage handling6-8 days
ROI Logic

Tool cost is trivial against the retainer: a Starter seat at $3/month covers roughly 20,000 Pro words, and Professional at $5/month covers roughly 42,000, so a single client retainer priced in the hundreds covers every seat the agency needs. Margin comes from the checklist and credit-metering discipline, not from the subscription, which means the agency must cap words per client or absorb overages on flat-rate deals.

Deliverables
  • Client-specific AI Text Cleaner cleaning checklist covering Unicode stripping, Markdown removal, and CMS paste order
  • Credit usage tracker mapping each client's monthly word volume against the Starter 200-credit and Professional 420-credit ceilings
  • Before-and-after sample pack showing hidden character scan results and watermark-removal rewrites for the client's own drafts
  • Retainer scope sheet stating what runs in the browser for free versus what consumes Pro credits
  • Internal runbook for onboarding a new client draft stream into the AI Text Cleaner workflow
Definition of Done

A client's full month of AI drafts moves from raw intake to CMS-ready copy through the documented AI Text Cleaner checklist with credit usage logged and no draft exceeding its assigned word allowance.

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