What I Built
I created a dynamic AI Agent Prompt that auto-generates evergreen, low-risk social media content β specifically aligned with the most automatable content types such as educational posts, quote graphics, behind-the-scenes moments, user-generated content reposts, tutorials, and milestone posts.
This solves the common pain point of content burnout for creators, small businesses, and solo entrepreneurs. By clearly instructing the AI to ideate multiple post types, hooks, visuals, and hashtags in one go, it enables fast, structured content planning β ideal for batching and scheduling.
Demo
https://www.loom.com/share/placeholder-demo-video-link
πΈ Alternatively, see the screenshots below of the AI-generated outputs inside ChatGPT and Airtable:
Screenshot 1: Master Prompt Execution in ChatGPT
Screenshot 2: Auto-filled Airtable Content Calendar
Screenshot 3: Social media scheduler populated with AI output
How I Used Runner H
I used Runner H as the AI agent layer in a social media content automation workflow:
β¨ Step-by-Step:
Prompt Input: The master AI prompt is injected into the AI agent via Runner H's custom task runner (or Make.com + OpenAI API if integrating externally).
Post Type Expansion: The agent loops through 7 evergreen content types and generates:
3 post ideas
Hook/caption
Suggested hashtags
Visual concept
Structured Output: Results are returned in JSON and pushed to Airtable for use in content planning or queued via Zapier to Later.com or Buffer.
Repeat Weekly: The user can regenerate batches each week with new audience or topic parameters.
This prompt design leverages Runner H's strengths:
Multi-output logic
Natural language clarity
Repeatability across verticals
Use Case & Impact
π₯ Who it's for:
Solopreneurs
Health educators
Marketing managers
Coaches/consultants
Agencies managing multiple brands
β
Impact:
Saves 5β10 hours/week on content ideation
Reduces creative fatigue
Enables AI-powered batching and scheduling
Maintains brand voice through structured AI outputs
This automation allows creators to delegate ideation to AI, while still maintaining brand relevance and strategic variety. Itβs a practical stepping stone before scaling to a full AI agent for content marketing.
Social Love
Shared on LinkedIn & Twitter with hashtags:@GRao74
Top comments (1)
Huge win for anyone battling content burnout π