AgentPMT

X (Twitter) Thought Leadership Engine: Human-Voice AI Posts from Industry News with Approval and Auto-Publish

Saves ~1 hr 15 min

Details

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.

Tools In This Workflow

Workflow Steps

  1. 1Capture Beats, Positioning, and Preferences
  2. 2Scan Recent News on the Beats
  3. 3Pick Angles and Takes
  4. 4Draft Each Post in the User's Voice
  5. 5Banned-Phrase Check and Rewrite Loop
  6. 6Generate Visuals for Posts That Need Them
  7. 7Queue All Drafts in the Sheet
  8. 8Batch Approval with a 10-Minute Response Window
  9. 9Publish Approved Posts to X (Only Within the Window)
  10. 10Mark the Queue with Results
Step 1 of 10
Prompt1

Capture Beats, Positioning, and Preferences

Goal: Capture the topics and posting preferences for this thought-leadership run. | Inputs: From the user's request, extract: (1) the topics or beats to monitor, (2) the user's positioning (who they are, who they speak to, and what they want to be known for), (3) optional voice notes, (4) number of posts to draft this run (default 4), (5) whether to generate images for posts (default yes), (6) optional Google Sheet URL for the post queue. If no topics are given, ask the user once before proceeding. | Outputs: A structured config object: { topics[], positioning, voice_notes, post_count, want_images, queue_sheet_or_null }

Frequently Asked Questions

How do I connect this workflow to my local agent like OpenClaw or Claude Code?

You can install the local MCP server by opening a terminal and running:

Install commands

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:

Hosted MCP config

{
  "mcpServers": {
    "agentpmt": {
      "type": "streamable-http",
      "url": "https://api.agentpmt.com/mcp",
      "headers": {
        "Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
        "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
      }
    }
  }
}

View MCP Connection Instructions for more details.

How do I trigger this workflow?

You can use it here in the browser by clicking the 'Try It' button.

If you 'star' the workflow it will save to your dashboard for quick access.

To use the workflow in an external agent, make sure you have followed the steps to connect it to the MCP server and then copy / paste this prompt, or just tell it to use the AgentPMT MCP server and use this workflow.

Agent prompt

Call the AgentPMT-Workflow-Skills tool with action 'get_workflow_skill' and skill_id 6a29bcf62cd484006bfcd259 ("X (Twitter) Thought Leadership Engine: Human-Voice AI Posts from Industry News with Approval and Auto-Publish").

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