Md. Mehadi Hassan
Machine Learning Engineer | Model Building & Deployment
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Transform Your Content Strategy with AI
BlogWriterAI is a production-ready platform for generating high-quality, research-backed technical blog content in minutes – not hours.
What I Offer?
For Content Agencies and Blogs:
Automated blog generation with human review workflow
5-9 structured sections per article
Auto-research and citations from authoritative sources
60+ articles per month (10x your current output)
SEO-optimized markdown ready to publish
For SaaS and Tech Companies:
Technical documentation generation
Product launch blog posts
Weekly tech news roundups
Tutorial and how-to series
Thought leadership articles
For Developers and Tech Influencers:
Build your blog empire without writer's block
Maintain consistent publishing schedule
Research-backed, citation-rich content
Markdown to any CMS (Medium, Dev.to (http://Dev.to), your blog)
How It Works
Step 1: Provide Topic
"State of AI in 2026" or "Building Scalable Systems"
Step 2: Choose Mode
Evergreen (closed_book)
Current Events (hybrid)
Breaking News (open_book)
Step 3: AI Generation
Smart research → Planning → Parallel writing → Auto-citation
Step 4: Human Review (Optional)
You review, edit, add personal voice
Step 5: Publish
Download markdown → Copy to your platform
Total Time: 5-10 minutes (vs 3-5 hours manually)
Key Features
Research Integration: Real-time web search with source attribution
Parallel Execution: 5-7 sections written simultaneously
Auto-Citation: All claims backed by real sources
Production-Ready: Markdown format for any platform
Customizable: Adjust tone, audience, section count
Scalable: Generate 10+ blogs in parallel
Cost-Effective: Minimal API usage vs value generated
Database Backup: All generations saved and retrievable
Technology Behind It
Built on battle-tested production tech:
LangGraph (workflow orchestration)
FastAPI (web infrastructure)
PostgreSQL (state management)
GROQ API (fast LLM)
Tavily (web research)
This isn't a chatbot wrapper. It's an engineered system with error handling, checkpointing, and monitoring.
Pricing Models
Pay-Per-Blog:
$50-150 per blog (depending on complexity)
Research included
Unlimited revisions
Monthly Subscription:
Starter: 4 blogs/month – $299
Professional: 12 blogs/month – $799
Enterprise: Unlimited – Custom quote
White-Label Integration:
Embed in your platform
Custom branding
Your terms and conditions
Revenue share available
Who Benefits Most
Content Agencies (Scale output, reduce costs)
SaaS Marketing (Launch faster, blog more)
Developer Relations (Consistent content)
Indie Hackers (Automate your growth)
Course Creators (Tutorial content)
Tech Publications (Speed to publish)
Quality Assurance
Every blog includes:
Fact-checked sources (Tavily verification)
Proper citations (auto-added)
Professional structure (5-9 sections)
SEO-friendly formatting
Code examples (if technical topic)
Edge cases and warnings included
Case Study Example
Topic: "Multimodal LLMs: Latest Releases 2026"
Output: 7-section blog with:
Introduction and trends
Top 5 new models (with links)
Benchmarks and comparisons
Use cases and applications
Common mistakes
Getting started guide
Conclusion and resources
Time to Complete: 45 seconds
Sources Cited: 15+ authoritative sources
Word Count: 3,500 words
Ready to Publish: YES
Get Started Today
Book a Consultation – Tell me your content needs
Try a Pilot – Generate 2-3 blogs (risk-free)
Scale Up – Weekly/monthly generation plan
Automate – Integrate into your workflow
Why Choose This Over ChatGPT?
Feature comparison:
ChatGPT: No web research, No auto citations, No parallel writing, Generic topic analysis, No fault tolerance, Slow, Hits or misses, Rate-limited
BlogWriterAI: Real-time web research, Yes auto citations, 16 workers in parallel, Intelligent analysis, PostgreSQL backup, 8x faster, Structured output, Enterprise-ready
Testimonials (You can add after delivery)
"Saved us 10 hours/week on blog writing. Quality is great." – SaaS Founder
"First time we've been able to maintain weekly content schedule." – Marketing Manager
See the code: https://github.com/Mehadii-Hassan/BlogWriterAI
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I recently built MehadiAI, an intelligent AI assistant designed for real-world use cases such as chat-based support, document-based Q&A, and knowledge workflow automation.
What this project does:
Lets users chat naturally with an AI assistant
Understands uploaded documents and answers questions from them using RAG
Maintains context across conversations
Uses tools like web search, calculation, and memory to improve response quality
Built with FastAPI, LangChain, LangGraph, Google Gemini, Chroma, and SQLite, this project demonstrates how AI can be turned into a useful, interactive product experience.
It is a strong example of a modern AI application that combines backend engineering, LLM orchestration, vector search, and deployment-ready architecture.
GitHub: https://github.com/Mehadii-Hassan/MehadiAI
(https://github.com/Mehadii-Hassan/MehadiAI)Live Demo: https://mehadiai.onrender.com
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I recently built an Agentic AI Chatbot that combines modern AI technologies to create a smart, user-friendly conversational assistant. The project is developed using Python, Streamlit, LangGraph, and Gemini AI, and it showcases how AI can be used to build interactive solutions for real-world use cases such as support, assistance, education, and engagement.
What makes this project valuable is not just the chatbot experience itself, but the architecture behind it. It demonstrates agentic workflow design, conversation state handling, and the ability to create a polished AI product with a simple web interface. I’m continuing to improve it and plan to add memory, database support, and more advanced features soon.
GitHub repository: https://github.com/Mehadii-Hassan/Agentic-AI-Chatbot
#AIChatbot #AgenticAI #PythonDeveloper #LLMApps #GenerativeAI #AIProject #SoftwareEngineer #TechInnovation
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I built an AI-powered travel planning application that helps users create personalized trip itineraries from a single prompt. The project combines multiple APIs and LLM-based workflows to generate flight suggestions, hotel recommendations, and a structured travel plan in one experience.
The app is built with FastAPI for the web interface, LangGraph for multi-agent orchestration, and Groq-powered language models for intelligent travel reasoning. It also integrates Tavily and AviationStack to bring in real travel data and research, making the output more useful and practical for users.
This project reflects my interest in building AI-driven products that solve real-world problems with clean architecture, API integration, and user-friendly design. It’s a great example of how modern AI tools can be turned into a complete, functional application.
GitHub Repository: https://github.com/Mehadii-Hassan/Travel-Planner-Agent
#AI #ArtificialIntelligence #MachineLearning #LLM #Python #FastAPI #LangGraph #LangChain #OpenSource #SoftwareEngineering #BackendDevelopment #FullStackDevelopment #APIs #TravelTech #ProductDevelopment #DeveloperPortfolio #TechProject #AIProjects #StartupTech
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