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Runner H AI Agent Prompting challenge

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
πŸ“Έ 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:

✨ 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
πŸ‘₯ Who it's for:
Solopreneurs

Health educators

Marketing managers

Coaches/consultants

Agencies managing multiple brands

βœ… Impact:
Saves 5–10 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. It’s 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)

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parag_nandy_roy profile image
Parag Nandy Roy

Huge win for anyone battling content burnout πŸ™Œ