AI Labs

AI Powered workflows

AUTOMATING BLOG POSTS

Challenges and Learnings

Automating content creation requires precise workflows, from keyword research to converting outputs into JSON for WordPress and LinkedIn integration. Each step demands careful calibration to ensure technical accuracy and content relevance. Here’s where we are today:

Project overview: My goal was to create an AI-powered workflow that automates daily blog posting. The process begins with a Google Sheet containing URLs of interesting articles, which are passed to an AI agent to generate concise summaries. These summaries are then processed by ChatGPT-4.0-mini using a Chain-of-Thought (COT) prompt that specifies the writing style, level, and JSON formatting required for WordPress. The blog title is sent to DALL-E 3 to generate a custom page banner image, and the content, along with the image URL, is integrated into WordPress via a plugin. Once published, the post is automatically shared on LinkedIn. Currently, we are performing a “gut check” to assess content quality, fine-tuning hyperparameters, and exploring the use of ROUGE and BERT scores to enhance article coherence and relevance. The workflow is designed to streamline the content creation and distribution process while allowing for iterative improvements based on feedback and performance metrics.

Current Status

The workflow has been implemented, and we are now systematically reviewing its outputs. This includes analyzing content quality, post length, word choice, and coherence. The focus remains on iterative improvement to ensure the generated content meets both technical and contextual standards.

Key Hurdles

The most significant challenge has been crafting prompts that accurately format content to meet WordPress field requirements. Generating properly structured JSON outputs posed technical hurdles, demanding extensive testing and adjustments. This aspect of the workflow consumed considerable effort but provided valuable insights into system limitations and possibilities.

Google Search Integration: Configuring the chatbot to perform a Google search and extract meaningful results requires robust APIs and accurate parsing mechanisms.

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What We’re Learning

Producing meaningful and accurate content requires a balance between creativity and structured data processing. We’ve observed that workflows can be highly sensitive to input parameters, necessitating rigorous evaluation and scoring mechanisms. Refining these processes remains critical to achieving consistent and reliable outcomes.

balancing act.

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Making Advanced Chatbots Accessible

I am refining the process to make advanced AI workflows more accessible and effective. By sharing our findings, we aim to contribute to broader adoption and understanding of automation tools in content creation. Stay tuned! 🚀

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