From Idea to Execution: Building an AI-Powered Publishing Assistant

As a developer and blogger, I've always wanted to share my learning journey through writing. However, I soon realized that publishing the same article across multiple platforms like Dev.to, Hashnode, and Medium became a repetitive, manual, and time-consuming task. I wanted to automate it.

The Vision

What if an AI could take a single master article, reformat it for each platform, generate a unique title and tags, and directly publish it online? This vision sparked the project you're reading about now, my autonomous content publishing agent.

The Problem We Solved

Before, I used to spend a lot of time writing a long article, rephrasing it for each platform, generating platform-friendly titles and tags, and manually logging in to post. Now, with my agent, I can simply:

1. Paste a master article
2. Select which platforms I want to post to
3. Click Publish

The agent takes care of the rest:

• Rewriting the article using Groq + LLaMA3 (8B)
• Generating platform-specific titles and three smart tags
• Posting via API to Dev.to and Hashnode
• Returning live links to the published articles

Behind the Scenes

The agent is built using:

• Python and Streamlit for the interface
• Groq API + LLaMA3 8B for fast and smart AI completions
• Custom prompts per platform (Dev.to, Hashnode, etc.)
• Autonomous tag and title generators
• Direct posting via REST and GraphQL APIs

All environment secrets like API keys are stored safely in a .env file.

Struggles and Fixes Along the Way

We encountered some interesting challenges:

• Dev.to rejected posts with more than four tags, so we fixed it by slicing to three
• Hashnode drafts weren't showing, so we switched to the publishPost mutation
• Groq was crashing, so we added load_dotenv() properly
• Random LLM outputs, so we refined prompts per platform
• Broken URLs, so we built correct slug-based URLs using the .env subdomain

Every fix made the agent more stable, more autonomous, and more fun to use.

What's Next?

This is just Phase 1. Next, we're planning:

• Substack and Medium integration
• Twitter/X thread generation from long-form content
• Scheduling and preview publishing
• Analytics on post performance
• Open-source release for other student builders

Final Thoughts

If you're serious about building an audience or writing online while managing a full schedule, you need automation. And not just schedulers — real intelligence that adapts your message to each platform.

This project has helped me build that, and it's only just the beginning.