Here is the rewritten article, formatted according to Dev.to's tone, markdown, and expectations:
From Idea to Execution: Building an AI-Powered Publishing Assistant
Automation Revolutionizes Content Publishing
As a writer, I wanted to share my learning journey through writing. However, publishing the same article across multiple platforms (Dev.to, Hashnode, Medium, etc.) became repetitive, manual, and time-consuming.
What if an AI could take a master article, reformat it per 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
Manual Publishing Process
- Write a long article
- Rephrase slightly for each platform
- Generate platform-friendly titles and tags
- Manually log in and post
New Process
- Paste a master article
- Select which platforms I want to post to
- Click Publish
The agent handles:
* Rewriting the article using Groq + LLaMA3 (8B)
* Generating platform-specific titles and 3 smart tags
* Posting via API to Dev.to and Hashnode
* Returning live links to the published articles
Behind the Scenes
Technology Stack
- Python + Streamlit for the interface
- Groq API + LLaMA3 8B for fast, 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 .env
.
Struggles and Fixes Along the Way
Challenges
- Dev.to rejected posts with >4 tags → fixed by slicing to 3
- Hashnode drafts weren’t showing → switched to
publishPost
mutation - Groq was crashing → added
load_dotenv()
properly - Random LLM outputs → refined prompts per platform
- Broken URLs → built correct slug-based URLs using
.env
subdomain
Every fix made the agent more stable, more autonomous, and more fun to use.
What's Next?
Future Plans
- 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 helped me build that — and it’s only just the beginning.
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