# 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 - 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: 2026-06-14T22:20:34.373Z ### Page Description Catch banned phrases, 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. ### 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. ## Details ### Details Catch banned phrases, 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. ### 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 #### X (Twitter) Thought Leadership Engine: Human-Voice AI Posts from Industry News with Approval and Auto-Publish Stay visible on X (Twitter) every week without staring at a blank compose box. Give this AI social media workflow your beats and your positioning, and it scans the last week of industry news, picks the strongest non-overlapping angles, and writes opinionated, fact-backed posts in a natural human voice that sounds like you, not a press release. Every post is screened by an automated writing quality check that strips robotic, overused AI phrasing, and posts that benefit from a visual get a custom 16:9 image. All drafts queue in a Google Sheet and come to you for batch approval, and the workflow checks back for your decision at 5 and 10 minutes. Approve and it publishes to X, attaching images and links correctly, then marks each row with the live post link so you keep a complete content log. Miss the window and nothing posts: every draft stays safely queued in the sheet, ready to approve and publish on a later run. Ideal for founders, executives, consultants, developer advocates, and marketers who want Twitter automation with editorial control: AI-generated social media posts, social SEO, personal branding, content marketing, and a consistent thought leadership presence built on real facts and a human voice. - Page URL: https://www.agentpmt.com/agent-workflow-skills/x-thought-leadership-engine-turn-industry-news-into-human-voice-posts-with-approval-and-auto-publish - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/x-thought-leadership-engine-turn-industry-news-into-human-voice-posts-with-approval-and-auto-publish?format=agent-md - Published: 2026-06-10T20:59:52.887Z #### Pipedrive AI Email Writer: Personalized Human-Voice Nurture and Follow-Up Drafts for Any CRM Segment Turn any Pipedrive segment into a set of genuinely personal sales emails, written one contact at a time and waiting in your Gmail drafts for your final say. Point this AI email writing workflow at a pipeline stage, an owner, a label, or stalled deals with no recent activity, and it pulls each contact's deal history and notes from Pipedrive, finds the strongest personal hook for every relationship, and writes each email in a natural human voice around your goal: re-engaging a quiet deal, a renewal check-in, post-sale nurture, an upsell conversation, or a simple hello. Every email passes an automated writing quality check that catches robotic, overused AI phrasing and rewrites it before you ever see it. Nothing is sent automatically. Each message lands as a Gmail draft for you to review and send personally, while the workflow logs a note and a follow-up activity on every deal in Pipedrive, records the campaign in a Google Sheets log, and emails you a summary of what is ready. Built for account executives, customer success teams, founders doing their own outreach, sales follow-up and renewal plays, and anyone who wants CRM email automation that produces one-to-one messages that read like they wrote them. - Page URL: https://www.agentpmt.com/agent-workflow-skills/pipedrive-nurture-email-writer-personalized-human-voice-outreach-drafts-for-any-crm-segment - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/pipedrive-nurture-email-writer-personalized-human-voice-outreach-drafts-for-any-crm-segment?format=agent-md - Published: 2026-06-10T20:59:48.301Z #### Human-Voice AI Blog Writer: Research, Write, and Illustrate SEO Articles from Your Content Calendar Turn a topic or a content-calendar spreadsheet into a publish-ready, fact-checked blog article written in a natural human voice. This AI blog writing workflow picks the next due topic from your Google Sheet (or takes one directly), researches it across live news and authoritative web sources, builds a sourced fact sheet and SEO outline, then drafts the full long-form article with a human-style writing agent that writes only from verified facts. Every draft runs through an automated writing quality check that catches robotic, banned AI phrases and rewrites them until the copy passes. A custom hero image is generated to match the story, the finished article is assembled into a formatted Google Doc with a sources section, the run is logged back to your content calendar, and the doc link lands in your inbox. Ideal for content marketing teams, SEO agencies, founders, newsletters, and solo bloggers who want an AI blog post generator and content automation pipeline that delivers consistent, on-brand, long-form SEO content without the research grind or the telltale AI voice. - Page URL: https://www.agentpmt.com/agent-workflow-skills/human-voice-blog-factory-research-write-illustrate-and-deliver-seo-articles-from-your-content-calendar - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/human-voice-blog-factory-research-write-illustrate-and-deliver-seo-articles-from-your-content-calendar?format=agent-md - Published: 2026-06-10T20:59:39.285Z #### 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 #### Artificial Intelligence Industry: AI Writing Quality Check - Type: article - Page URL: https://www.agentpmt.com/articles/artificial-intelligence-industry-ai-writing-quality-check - Markdown URL: https://www.agentpmt.com/articles/artificial-intelligence-industry-ai-writing-quality-check?format=agent-md AI Writing Quality Check, a new MicroSAAS connector from Apoth3osis on AgentPMT, scans copy for banned phrases and AI cliches and returns field-level corrections (exact phrase, character index, context, reason) built for automated rewrite loops. Live on the marketplace and already wired into two AgentPMT workflows. ## Integration Details ### DynamicMCP - Setup page URL: https://www.agentpmt.com/dynamic-mcp - Claude setup guide: https://www.agentpmt.com/dynamic-mcp#platform=claude - ChatGPT setup guide: https://www.agentpmt.com/dynamic-mcp#platform=chatgpt - Cursor setup guide: https://www.agentpmt.com/dynamic-mcp#platform=cursor - Windsurf setup guide: https://www.agentpmt.com/dynamic-mcp#platform=windsurf Use the local router for command-based MCP clients. It forwards requests to `https://api.agentpmt.com/mcp` and does not execute tools locally. ```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 Autonomous agents can access this tool through AgentAddress credit balances or direct x402 payments. Use the Autonomous Agent API reference for endpoint shapes after choosing the access pattern below. - Autonomous Agent API reference URL: https://www.agentpmt.com/docs/api-reference/autonomous-agents - Autonomous Agent API reference markdown URL: https://www.agentpmt.com/docs/api-reference/autonomous-agents?format=agent-md - Credit-Based Access Using AgentAddress: https://www.agentpmt.com/docs/autonomous-agents/credit-based-tool-usage-with-agentaddress - AgentAddress is preferred for persistent file access, stored platform state, and maximum tool use ability across repeated calls. - Direct x402 is for independent one-off tool calls that do not require shared files or stored platform state. - Direct x402 public payments: USDC on Base, Arbitrum, Optimism, Polygon, and Avalanche. - X402 Payment Instructions: https://www.agentpmt.com/docs/autonomous-agents/x402-payments-for-tool-usage ### 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`. ### Frequently Asked Questions #### How do I connect this tool to an external agent? - Page URL: https://www.agentpmt.com/faq - Markdown URL: https://www.agentpmt.com/faq?format=agent-md You can install the local MCP server by opening a terminal and running: ``` npm install -g @agentpmt/mcp-router agentpmt-setup ``` This will connect you to local agents like Claude Code, Windsurf, Grok Build, Cursor, etc. Alternatively you can connect to the hosted version with this config block, no installation required: ``` { "mcpServers": { "agentpmt": { "type": "streamable-http", "url": "https://api.agentpmt.com/mcp", "headers": { "Authorization": "Bearer ", "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}" } } } } ``` [View MCP Connection Instructions](/docs/mcp-reference/connection) for more details. #### How does an external agent use this tool? - Page URL: https://www.agentpmt.com/faq - Markdown URL: https://www.agentpmt.com/faq?format=agent-md After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent: > Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get\_instructions' so you know how to use the tool search interface. Then call action 'get\_schema' with tool\_id 69e99f72157ecd9aa94a1c92 ("AI Writing Quality Check"). After reading the schema and any returned instructions, tell me what this tool can do, what inputs it needs, and what you need from me before running it. Do not call action 'call\_tool' until I confirm the request and provide the required parameters. The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT. ### Dependencies This product has no public dependency products.