Write for Us AI – Submit an Artificial Intelligence Guest Post

Write for Us AI – Submit an Artificial Intelligence Guest Post

Hi, I’m Vijay Chauhan, and welcome to Vijay Talks AI.

I created Vijay Talks AI to explore how artificial intelligence is evolving, how it works in practice, and how new developments in AI are changing the way we build, work, research, create, and solve problems.

If you have genuine knowledge, experience, or insight into artificial intelligence, I’d love to hear from you.

I’m inviting AI professionals, researchers, developers, engineers, founders, students, technical writers, practitioners, and industry experts to contribute thoughtful and useful articles to Vijay Talks AI.

This contributor page is for broader artificial intelligence topics such as generative AI, large language models, RAG, computer vision, machine learning, AI agents, NLP, model training, AI infrastructure, and other emerging areas of artificial intelligence.

If you can explain complex AI topics clearly, share practical experience, or bring an original perspective to an important subject, you’re welcome to submit a guest post idea.

Why Write for Vijay Talks AI?

Artificial intelligence is developing quickly, but useful explanations are often buried under hype, jargon, and repetitive content.

With Vijay Talks AI, I want to publish articles that help readers understand what is actually happening in AI, why it matters, and how these technologies can be used in the real world.

By contributing to Vijay Talks AI, you can:

  • Share Your AI Expertise: Explain concepts, technologies, research, and practical applications based on your own knowledge and experience.
  • Reach an AI-Focused Audience: Connect with readers interested in artificial intelligence, generative AI, machine learning, automation, development, and emerging technologies.
  • Build Your Professional Profile: Publish useful content under your name and demonstrate your expertise in a specific area of AI.
  • Explain Complex Topics Clearly: Help readers understand technical subjects without unnecessary complexity.
  • Share Practical Knowledge: Contribute real examples, technical lessons, case studies, experiments, and implementation experience.
  • Contribute to the AI Community: Help make AI knowledge more accessible, practical, and useful.

What Topics Can You Write About?

I’m open to high-quality articles covering a wide range of artificial intelligence topics.

The strongest submissions usually focus on one specific problem, technology, concept, implementation, or use case rather than trying to cover all of AI in a single article.

Here are some of the areas I’m particularly interested in.

Generative AI

I welcome articles exploring generative AI technologies, applications, limitations, and developments.

Possible topics include:

  • How generative AI works
  • Generative AI use cases
  • Text generation
  • Image generation
  • Video generation
  • Audio generation
  • Multimodal AI
  • Generative AI architecture
  • Enterprise generative AI
  • Generative AI workflows
  • Challenges and limitations of generative models
  • Evaluation of generative AI systems

Articles should ideally go beyond basic definitions and provide useful insight, examples, or practical experience.

Large Language Models

If you work with or study large language models, you can contribute content covering topics such as:

  • How LLMs work
  • Transformer architecture
  • Tokenization
  • Context windows
  • Model inference
  • LLM evaluation
  • Hallucinations
  • Model reasoning
  • LLM optimization
  • Open-source language models
  • Small language models
  • Model selection
  • LLM applications
  • Enterprise LLM adoption

Technical articles are welcome, but they should still be understandable to the intended audience.

Retrieval-Augmented Generation – RAG

RAG is an important area for developers and businesses building AI applications.

I’m interested in practical and technical content covering:

  • What RAG is
  • RAG architecture
  • Building RAG applications
  • Vector databases
  • Embeddings
  • Document retrieval
  • Chunking strategies
  • Hybrid search
  • Semantic search
  • Reranking
  • RAG evaluation
  • Common RAG mistakes
  • Improving retrieval quality
  • Advanced RAG techniques
  • Production RAG systems

Case studies and real implementation experience are especially valuable.

AI Agents and Agentic AI

You can also contribute articles about AI agents and agentic systems.

Topics may include:

  • How AI agents work
  • Agent architecture
  • Tool calling
  • Memory systems
  • Planning and reasoning
  • Multi-agent systems
  • Autonomous workflows
  • Agent orchestration
  • Agent evaluation
  • Agent security
  • Human-in-the-loop systems
  • Building production-ready AI agents
  • Challenges with autonomous agents

I’m particularly interested in articles that separate realistic capabilities from hype.

Computer Vision

If your expertise is in computer vision, I welcome articles covering:

  • Image classification
  • Object detection
  • Image segmentation
  • Facial recognition
  • Optical character recognition
  • Vision transformers
  • Image embeddings
  • Visual search
  • Video analysis
  • Medical imaging
  • Industrial computer vision
  • Multimodal vision systems
  • Computer vision applications

Technical tutorials, implementation guides, and real-world case studies are welcome.

Machine Learning

Machine learning remains at the foundation of many modern AI systems.

You can write about topics such as:

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Classification
  • Regression
  • Clustering
  • Feature engineering
  • Model evaluation
  • Training pipelines
  • Model selection
  • Overfitting and underfitting
  • Production machine learning
  • MLOps
  • Machine learning case studies

Articles should ideally teach readers something practical rather than simply repeating textbook definitions.

Deep Learning

I also welcome contributions about deep learning.

Potential topics include:

  • Neural networks
  • Convolutional neural networks
  • Recurrent neural networks
  • Transformers
  • Attention mechanisms
  • Representation learning
  • Deep learning optimization
  • Training neural networks
  • Model architecture
  • GPU-based training
  • Deep learning applications

Natural Language Processing

Writers with experience in NLP can contribute articles on:

  • Text classification
  • Named entity recognition
  • Sentiment analysis
  • Text summarization
  • Information extraction
  • Semantic search
  • Machine translation
  • Question answering
  • Text embeddings
  • Language understanding
  • NLP pipelines
  • Modern NLP with transformers

Prompt Engineering and Vibe Coding

I’m open to practical and technical articles about prompt engineering and vibe coding, especially when they go beyond basic prompt lists and show readers how AI can be used to build, test, improve, and ship real projects.

Useful topics might include:

  • Prompt design principles
  • Structured prompting
  • Few-shot prompting
  • System prompts
  • Prompt templates
  • Prompt optimization
  • Prompt evaluation
  • Prompt injection and prompt security
  • Prompting for professional workflows
  • What vibe coding is and how it works
  • Building apps with AI coding assistants
  • Prompt-to-app development
  • AI-assisted web development
  • Creating prototypes with AI
  • Using natural language to generate and modify code
  • Debugging AI-generated code
  • Testing and validating AI-built applications
  • Improving AI-generated code quality
  • Security risks in vibe-coded applications
  • Choosing the right AI coding workflow
  • Vibe coding for non-developers
  • Vibe coding vs traditional software development
  • Moving from AI-generated prototypes to production-ready applications

I’m particularly interested in articles based on real projects, experiments, workflows, or first-hand experience.

If you’re writing about vibe coding, don’t just show how quickly something can be generated. Explain what worked, what failed, how you tested the output, what technical limitations you encountered, and what readers should know before using the same approach.

Articles about prompt engineering should similarly explain why a particular prompting technique works, when it should be used, and what results it produces in practice.

Fine-Tuning and Model Customization

You may also write about:

  • Fine-tuning language models
  • Instruction tuning
  • LoRA
  • Parameter-efficient fine-tuning
  • Dataset preparation
  • Synthetic training data
  • Model adaptation
  • Fine-tuning vs RAG
  • Evaluation after fine-tuning
  • Domain-specific AI models
  • Common fine-tuning mistakes

Practical examples and implementation lessons are encouraged.

AI Infrastructure

Technical contributors can submit articles about the infrastructure required to build and run AI systems.

Topics may include:

  • AI inference
  • GPU infrastructure
  • Model serving
  • AI APIs
  • Vector databases
  • Data pipelines
  • Model deployment
  • Cloud AI infrastructure
  • Edge AI
  • AI observability
  • Model monitoring
  • Scaling AI applications
  • Latency optimization
  • Cost optimization

AI Research and Emerging Technologies

I’m interested in well-researched articles discussing important developments in artificial intelligence.

This may include:

  • New AI architectures
  • Emerging model capabilities
  • Multimodal systems
  • Reasoning models
  • World models
  • Robotics
  • Embodied AI
  • Synthetic data
  • AI evaluation
  • Benchmarking
  • Model efficiency
  • AI research trends
  • New approaches to training and inference

If discussing research papers, please explain the significance of the research rather than simply summarizing the abstract.

Responsible AI, Safety, and Ethics

Thoughtful articles about responsible AI are also welcome.

Topics can include:

  • AI safety
  • Model alignment
  • AI bias
  • Fairness
  • Explainable AI
  • AI transparency
  • Privacy
  • Data governance
  • Responsible deployment
  • AI security
  • Deepfakes
  • AI-generated misinformation
  • Ethical challenges in AI
  • Human oversight

Articles in this area should be balanced, well researched, and supported by credible evidence.

AI Security

Security is becoming increasingly important as AI systems become more capable.

I welcome articles covering:

  • Prompt injection
  • Jailbreaking
  • Model security
  • AI application security
  • Data leakage
  • Adversarial attacks
  • Secure RAG systems
  • AI agent security
  • LLM vulnerabilities
  • AI red teaming
  • Security best practices for AI applications

Enterprise AI

If you work with AI in business environments, you can contribute content about:

  • Enterprise AI strategy
  • AI adoption
  • AI implementation
  • AI governance
  • Building internal AI systems
  • Enterprise RAG
  • AI knowledge bases
  • AI automation
  • AI transformation
  • Measuring AI ROI
  • AI deployment challenges
  • Organizational AI adoption
  • AI use cases across industries

Real-world lessons and case studies are particularly valuable.

AI Development and Engineering

Developers and engineers are welcome to contribute technical articles about building AI-powered applications.

Topics may include:

  • Building LLM applications
  • AI APIs
  • AI application architecture
  • Function calling
  • Tool use
  • Structured outputs
  • Embeddings
  • Vector search
  • AI backend architecture
  • Model routing
  • Evaluation frameworks
  • AI testing
  • Production AI systems
  • AI application performance

Code examples are welcome when they genuinely help explain the topic.

AI Use Cases

I’m also interested in practical applications of AI across different industries and professions.

Examples include:

  • AI in healthcare
  • AI in education
  • AI in finance
  • AI in marketing
  • AI in software development
  • AI in cybersecurity
  • AI in ecommerce
  • AI in manufacturing
  • AI in research
  • AI in customer service
  • AI in legal workflows
  • AI for creators
  • AI for small businesses
  • AI in enterprise operations

Strong use-case articles should explain the problem, implementation, benefits, limitations, and lessons learned.

Other Artificial Intelligence Topics

The list above is not exhaustive.

If you have a strong article idea related to artificial intelligence, I’m open to considering it.

The most important thing is that your contribution provides genuine value to readers.

What I’m Looking for in a Guest Post

I want Vijay Talks AI to publish content that is useful, accurate, original, and easy to understand.

A strong submission should offer more than information that can be found in the first few search results.

Genuine Expertise

You don’t need to be a university professor or AI researcher to contribute.

However, you should understand the subject you’re writing about.

Your expertise might come from:

  • Professional experience
  • Software development
  • Research
  • Building AI applications
  • Running experiments
  • Working with models
  • Implementing AI in a business
  • Studying a subject deeply

The goal is to publish content written by people who genuinely understand the topic.

Original Insight

I’m especially interested in articles containing:

  • First-hand experience
  • Technical lessons
  • Experiments
  • Real examples
  • Original analysis
  • Implementation details
  • Case studies
  • Useful diagrams
  • Code examples
  • Performance observations
  • Mistakes and lessons learned

Your article should add something useful to the conversation.

Clear Explanations

Artificial intelligence can be complicated.

Good technical writing makes complicated ideas easier to understand without oversimplifying them.

Use clear explanations, logical structure, and practical examples whenever possible.

Accurate and Well-Researched Information

AI changes quickly, so accuracy matters.

Please verify technical claims, statistics, research findings, model capabilities, and other factual information before submitting your article.

When referring to research, benchmarks, studies, or technical documentation, link to credible primary sources whenever possible.

AI-Assisted Writing Policy

Vijay Talks AI is a website about artificial intelligence, so I understand that contributors may use AI tools to support research, brainstorming, editing, coding, or writing.

Using AI as an assistant does not automatically disqualify your article.

However, I do not want generic, mass-produced, or lightly edited AI-generated content.

Your submission should contain meaningful human contribution, including genuine expertise, original analysis, first-hand experience, research, technical understanding, or unique examples.

If an article could have been generated from a simple prompt without any real subject knowledge, it is unlikely to be accepted.

The author is responsible for verifying all information in the final submission.

Guest Post Guidelines

Before submitting your article or pitch, please keep these guidelines in mind:

  • Submit original content.
  • Do not submit content already published elsewhere.
  • Write specifically for the Vijay Talks AI audience.
  • Avoid plagiarism.
  • Avoid keyword stuffing.
  • Avoid filler and unnecessary repetition.
  • Do not make unsupported claims.
  • Cite credible sources where appropriate.
  • Use clear headings and logical structure.
  • Explain technical terms when necessary.
  • Include practical examples whenever possible.
  • Make sure code samples are accurate and relevant.
  • Use original or properly licensed images and diagrams.
  • Do not submit promotional content disguised as educational content.
  • Do not submit mass-generated AI content.

I may edit accepted articles for clarity, formatting, grammar, accuracy, SEO, consistency, or readability.

Promotional Content and Backlinks

The primary purpose of a guest article should be to educate or help readers.

Guest posting on Vijay Talks AI should not be treated purely as a backlink-building opportunity.

Relevant links may be considered when they provide genuine value or support information in the article.

However:

  • Irrelevant backlinks may be removed.
  • Keyword-stuffed anchor text may be changed or removed.
  • Excessive self-promotion will not be accepted.
  • Links to low-quality or unrelated websites will not be accepted.
  • Links to misleading or questionable resources will not be accepted.
  • Publication does not guarantee that every submitted link will remain in the article.

All editorial decisions regarding links remain with Vijay Talks AI.

Author Bio

Accepted contributors may be able to include a short author bio.

Your bio can include:

  • Your name
  • Your role or professional background
  • Your area of AI expertise
  • Your company, research project, or organization
  • Your LinkedIn profile
  • Your professional website

Please keep the author bio concise and relevant.

What I Usually Don’t Accept

To maintain the quality of Vijay Talks AI, I generally avoid publishing:

  • Generic articles with no original insight
  • Mass-generated AI content
  • Articles written purely for backlinks
  • Plagiarized content
  • Previously published articles
  • Thin or superficial content
  • Promotional company articles disguised as educational content
  • Press releases
  • Unsupported predictions
  • Sensational AI claims
  • Poorly researched technical articles
  • Content containing misleading information
  • Articles outside the field of artificial intelligence
  • Topics already covered without a meaningful new perspective

How to Submit Your AI Guest Post

I recommend sending me your article idea before writing the full piece.

Please email your pitch to:

vjaychauhan27@gmail.com

Use the subject line:

AI Guest Post – [Your Proposed Topic]

Please include:

  1. Your proposed article title
  2. A short summary of what the article will cover
  3. A basic outline
  4. Why the topic is useful for Vijay Talks AI readers
  5. Your background or experience with the subject
  6. Links to previous writing samples, if available
  7. Your LinkedIn profile or professional website, if applicable

If you have already completed the article, you can mention that in your email.

What Happens After You Submit?

I’ll review your pitch based on:

  • Relevance
  • Originality
  • Technical accuracy
  • Practical usefulness
  • Depth of knowledge
  • Quality of the proposed idea
  • Author expertise
  • Whether the subject has already been covered
  • Overall value for Vijay Talks AI readers

Submitting an article or pitch does not guarantee publication.

I reserve the right to accept, reject, edit, update, or remove submitted content where necessary.

Want to Write Specifically About AI Tools?

This page is intended for broader artificial intelligence topics.

If your article is primarily about a specific AI tool, AI platform, software product, tool comparison, review, tutorial, or AI workflow, please visit our Write for Us AI Tools page instead.

That contributor section is specifically designed for hands-on AI software content, including reviews, comparisons, tutorials, pricing guides, workflows, AI agents, image generators, video tools, coding assistants, productivity tools, and other AI applications.

Write for Vijay Talks AI

Artificial intelligence is one of the fastest-moving areas of technology.

That creates a lot of excitement, but it also creates confusion, hype, and low-quality information.

I want Vijay Talks AI to be a place where readers can find clear explanations, practical knowledge, thoughtful analysis, and insights from people who genuinely understand the technology.

If you have something useful to teach about AI, I’d love to hear from you.

Whether you’re an engineer building LLM applications, a researcher working with machine learning, a developer experimenting with RAG, a professional implementing AI inside a business, or someone deeply studying an emerging area of artificial intelligence, your experience could help others understand AI better.

I’m Vijay Chauhan, and I look forward to reading your ideas and welcoming knowledgeable contributors to Vijay Talks AI.

Send your AI guest post pitch to: vjaychauhan27@gmail.com