This is a submission for the Runner H "AI Agent Prompting" Challenge

What I Built

I will outline the steps and provide conceptual code snippets (Python-like pseudocode) to illustrate how Runner H would orchestrate the workflow. Due to the limitations of this text-based interface, I cannot execute the code directly, but I will provide enough detail for someone to implement it using Runner H and relevant APIs.

Demo

demo link can be given in my YouTube channel--> https://youtu.be/SvvTOdQ1J3w

How I Used Runner H

First, we need to define the tools and APIs that Runner H will use. This might include:https://github.com/24nivetha/AI-Revolutionizes-Project-Management-in-Newheart/blob/main/nive.py

Keyword Research Tool API: (e.g., SEMrush, Ahrefs, Google Keyword Planner API) - For keyword research.
Large Language Model (LLM) API: (e.g., OpenAI GPT-3/4, Cohere, AI21 Labs) - For content outline and content generation.
Image Generation API: (e.g., DALL-E 2, Stable Diffusion API) - For image generation.
SEO Analysis API: (e.g., Surfer SEO, Clearscope API) - For SEO optimization.

Use Case & Impact

Runner H automates complex workflows, boosting efficiency, cutting costs, and enabling innovation across various tasks like content creation, SEO, and enterprise operations. It empowers businesses to scale, adapt, and gain a competitive edge by making AI more accessible and reliable.

Social Love

share! --> check on my X profile--> https://x.com/NivethaV66049