# AI Writing Quality Check ## Links - Product page URL: https://www.agentpmt.com/marketplace/ai-writing-quality-check - Product markdown URL: https://www.agentpmt.com/marketplace/ai-writing-quality-check?format=agent-md - Product JSON URL: https://www.agentpmt.com/marketplace/ai-writing-quality-check?format=agent-json ## Overview - Product ID: 69e99f72157ecd9aa94a1c92 - Vendor: Apoth3osis - Type: function - Unit type: request - Price: 500 credits - Categories: Text Processing & Manipulation, Data Validation & Verification, Marketing Automation, AI Copywriting & Text Generation, Content Management & Publishing, Proofreading & Style Checking - Generated at: 2026-04-30T19:48:48.459Z ### Page Description Catch banned phrases, risky claims, and overused AI clichés in draft copy before you ship it — built for iterative rewrite loops inside AI content workflows. Point this tool at a headline, CTA, social post, email, landing page, or long-form blog and get back field-level correction targets: the exact matched phrase, its character index, surrounding context, and the reason it was flagged. Agents can take those corrections, rewrite inline, and re-run the check until the copy passes — no vague "improve this" feedback, no guessing. Ideal for marketing ops, content teams, SEO writers, brand compliance reviewers, and any AI copywriting pipeline that needs a deterministic, repeatable quality gate. Enforces your organization's banned-phrase list (from the Apoth3osis ERP) consistently across every draft, every channel, every time. ### Agent Description Scan writing content for banned phrases and return a normalized response for rewrite loops. Input is a single `content` string; output contains a boolean `passed` flag plus a `corrections` array where each entry gives the exact matched phrase, its character index, a short context window, and the reason it was flagged. Intended loop: call check_for_banned_phrases -> if passed is false, rewrite each correction -> re-run until passed is true. Enforces the ERP-maintained banned-phrase list; no parameters beyond `content`. ## Details Tab ### Details Catch banned phrases, risky claims, and overused AI clichés in draft copy before you ship it — built for iterative rewrite loops inside AI content workflows. Point this tool at a headline, CTA, social post, email, landing page, or long-form blog and get back field-level correction targets: the exact matched phrase, its character index, surrounding context, and the reason it was flagged. Agents can take those corrections, rewrite inline, and re-run the check until the copy passes — no vague "improve this" feedback, no guessing. Ideal for marketing ops, content teams, SEO writers, brand compliance reviewers, and any AI copywriting pipeline that needs a deterministic, repeatable quality gate. Enforces your organization's banned-phrase list (from the Apoth3osis ERP) consistently across every draft, every channel, every time. ### Actions - `check_for_banned_phrases` (5 credits): Check writing for banned phrases and return correction targets tied to the content field. ### Use Cases Pre-publish quality checks for marketing copy, Headline and CTA rewrite loops, Social post phrase compliance checks, Blog and article draft quality gating, Email subject line banned-phrase screening, Landing page hero copy sanity checks, Product description compliance review, Ad copy phrase-list enforcement, Brand voice guardrails for AI copywriters, Automated copy review inside multi-step agent workflows, SEO draft cleanup before publishing, AI cliché detection in long-form content, Field-level correction feedback for content editors, Consistent enforcement of organization-wide banned-phrase policy, Repeatable copy quality gates in content approval workflows ### Workflows Using This Tool #### GitHub Dev Announcements Generate user-facing development update announcements from recent GitHub commits across one or more repositories. The user supplies a list of repos on the first run (wildcards like `org/*` allowed); the workflow stores them in a Google Sheet so subsequent runs need no input. For each run, the agent fetches commits since the last run (or last 7 days on first run), categorizes them into New Features / Updates / Bug Fixes, applies a security filter to strip internal paths, endpoints, secrets, and vulnerability details, drafts the announcement in a Google Doc, polishes the writing with a quality check tool, and logs the run (date, repos, commit count, doc URL, status) back in the sheet. Designed as a starting template — users can remix it to add their own follow-up steps such as posting to Slack or emailing subscribers. - Page URL: https://www.agentpmt.com/agent-workflow-skills/github-dev-announcements - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/github-dev-announcements?format=agent-md - Published: 2026-04-30T17:43:08.504Z ### Related Content No related content is currently linked to this product. ## Advanced Tab ### DynamicMCP - Setup page URL: https://www.agentpmt.com/dynamic-mcp - Claude setup guide: https://www.agentpmt.com/dynamic-mcp?platform=claude#videos - ChatGPT setup guide: https://www.agentpmt.com/dynamic-mcp?platform=chatgpt#videos - Cursor setup guide: https://www.agentpmt.com/dynamic-mcp?platform=cursor#videos - Windsurf setup guide: https://www.agentpmt.com/dynamic-mcp?platform=windsurf#videos STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections. This lightweight connector routes requests to `https://api.agentpmt.com/mcp`. All tool execution happens in the cloud and the server cannot edit any files on your computer. ```bash npm install -g @agentpmt/mcp-router agentpmt-setup ``` ### REST API The live page renders cURL, Python, JavaScript, and Node.js examples. Logged-in users see those examples prefilled with their own API and budget credentials. - Purchase endpoint: https://api.agentpmt.com/products/purchase - Authorization format: `Bearer ` ```bash curl -X POST "https://api.agentpmt.com/products/purchase" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer eW91ci1hcGkta2V5LWhlcmU6eW91ci1idWRnZXQta2V5LWhlcmU=" \ -d '{ "product_id": "69e99f72157ecd9aa94a1c92", "parameters": { "action": "check_for_banned_phrases", "content": "example_content" } }' ``` ### Autonomous Agents Do not use the abbreviated instructions in this product markdown for wallet-based invocation. Retrieve the full External Agent API markdown document instead. - External Agent API page URL: https://www.agentpmt.com/external-agent-api - External Agent API markdown URL: https://www.agentpmt.com/external-agent-api?format=agent-md ### Schema #### Parameters - Schema type: actions ```json { "actions": { "check_for_banned_phrases": { "description": "Check writing for banned phrases and return correction targets tied to the content field.", "properties": { "content": { "type": "string", "description": "Writing content to check.", "required": true } } } } } ``` ### Usage Instructions # AI Writing Quality Check Use this tool to scan writing and return exact correction targets for rewrite loops. ## Actions ### get_instructions Returns this documentation. ### check_for_banned_phrases Checks content for banned phrases and returns normalized correction guidance. Parameters: - `content` (required): writing content to check. ## Example ```json { "action": "check_for_banned_phrases", "content": "Our customers love us. Ask our AI." } ``` ## Rewrite Loop 1. Run `check_for_banned_phrases` with content. 2. If `passed` is `true`, publish. 3. If `passed` is `false`, rewrite each entry in `corrections`. 4. Run `check_for_banned_phrases` again until `passed` is `true`. ### About The Developer - Vendor name: Apoth3osis - Website: apoth3osis.io We build tools that enable AI agents to excel in the mathematical realm. Our small team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation. ### Frequently Asked Questions No linked FAQs are currently available. ### Dependencies This product has no public dependency products.