How to Use AI Content Generation

How to Use AI Content Generation

Amrutha Gujjar
8 min read

Master Waldium's AI content generation to create high-quality blog posts in minutes. Learn how to choose the right model, style, and settings for perfect results.

How to Use AI Content Generation

One of Waldium's most powerful features is AI-powered content generation. Instead of staring at a blank page, you can generate comprehensive, well-structured blog posts in seconds. This guide will show you how to get the best results from AI generation.

Understanding AI Content Generation

Think of Waldium's AI as a professional writer who can adapt to any style, tone, or audience. You provide the direction, and the AI creates content that matches your specifications.

The magic happens when you combine:

  • A clear, specific topic
  • The right style and tone settings
  • Your knowledge base for context
  • The appropriate AI model for your needs

Let's break down each component so you can master AI generation.

Choosing Your Topic

The topic is the foundation of great AI-generated content. The more specific and clear you are, the better the results.

Good vs. Great Topics

Avoid vague topics:

  • ❌ "Marketing"
  • ❌ "Technology trends"
  • ❌ "Business tips"

Use specific, actionable topics:

  • ✅ "Email Marketing Best Practices for SaaS Startups"
  • ✅ "How to Implement JWT Authentication in Next.js"
  • ✅ "5 Cost-Effective Growth Strategies for B2B Companies"

Topic Formula

A great topic includes:

  1. What: The main subject (authentication, marketing, optimization)
  2. How/Why: The angle or approach (best practices, implementation guide, comparison)
  3. Who: The target audience (developers, marketers, beginners)

Example: "How to Optimize React Performance for Large-Scale Applications" includes all three elements.

Selecting the Right Style

Waldium offers six distinct writing styles, each suited for different types of content:

Professional

Best for: Business blogs, thought leadership, company updates, industry analysis

Characteristics:

  • Polished and sophisticated tone
  • Formal language and structure
  • Focuses on credibility and authority
  • Ideal for B2B audiences

Example use case: "The ROI of Content Marketing in Enterprise Software"

Casual

Best for: Personal blogs, lifestyle content, community posts, behind-the-scenes

Characteristics:

  • Friendly and approachable
  • Conversational language
  • More personal and relatable
  • Great for consumer audiences

Example use case: "My Journey Learning Web Development in 6 Months"

Technical

Best for: Developer blogs, API documentation, technical tutorials, engineering posts

Characteristics:

  • Detailed and precise
  • Assumes technical knowledge
  • Includes code examples and specifics
  • Perfect for developer audiences

Example use case: "Building a Real-Time Chat Application with WebSockets and Redis"

Creative

Best for: Storytelling, brand narratives, thought pieces, editorial content

Characteristics:

  • Engaging and narrative-driven
  • Uses metaphors and storytelling
  • Emotional and compelling
  • Great for brand building

Example use case: "The Silent Revolution: How AI is Reshaping Human Creativity"

Academic

Best for: Research blogs, whitepapers, scholarly content, data-driven posts

Characteristics:

  • Research-oriented and analytical
  • Citation-heavy and evidence-based
  • Objective and thorough
  • Ideal for thought leadership

Example use case: "A Comprehensive Analysis of Remote Work Productivity: 2024 Meta-Study"

Mixed

Best for: Versatile content that needs multiple approaches

Characteristics:

  • Combines elements from multiple styles
  • Adapts tone throughout the post
  • Balances different audience needs
  • Most flexible option

Example use case: "Understanding Machine Learning: A Guide for Business Leaders and Engineers"

Choosing the Right Length

Content length should match your goals and audience expectations:

Short (400-600 words)

Best for:

  • Quick tips and tricks
  • News updates and announcements
  • Brief how-to guides
  • Listicles and summaries

Reading time: 2-3 minutes

When to use: When you need to share information quickly without overwhelming readers. Perfect for social media-friendly content.

Medium (800-1,200 words)

Best for:

  • Standard blog posts
  • Feature explanations
  • Case studies
  • Beginner tutorials

Reading time: 4-6 minutes

When to use: The sweet spot for most blog content. Provides enough depth without being intimidating.

Long (1,500-2,500 words)

Best for:

  • Comprehensive guides
  • In-depth tutorials
  • Technical documentation
  • Ultimate guides and resources

Reading time: 8-12 minutes

When to use: When you want to establish authority on a topic or create a definitive resource. Best for SEO-focused content.

Setting the Right Tone

Tone determines how your message is delivered and perceived:

Informative

Purpose: Educate and explain

Best for: Tutorials, how-to guides, explanatory content

Example: "This guide will walk you through the steps to configure SSL certificates for your domain."

Persuasive

Purpose: Convince and motivate action

Best for: Product pages, landing pages, sales content

Example: "Don't let slow load times cost you customers. Here's why performance optimization should be your top priority."

Conversational

Purpose: Build connection and rapport

Best for: Personal blogs, community content, casual updates

Example: "Let's chat about something that's been on my mind lately: the future of remote work."

Authoritative

Purpose: Establish expertise and credibility

Best for: Thought leadership, industry analysis, expert opinions

Example: "Based on 15 years of experience building scalable systems, here are the patterns that consistently deliver results."

Selecting AI Models

Waldium offers three AI models, each with different strengths:

GPT-4.1 (Pro Plan)

Strengths:

  • Highest quality output
  • Best for complex topics
  • Excellent nuance and depth
  • Superior coherence

Best for: Flagship content, thought leadership, comprehensive guides

Speed: Slower (30-60 seconds)

When to use: When quality is paramount and you have time for generation.

GPT-4.1 Mini (Pro Plan)

Strengths:

  • Fast generation
  • Great quality/speed balance
  • Consistent results
  • Good for most use cases

Best for: Regular blog posts, tutorials, standard content

Speed: Fast (10-20 seconds)

When to use: For high-volume content creation or when you need results quickly.

GPT-4.1 Nano (All Plans)

Strengths:

  • Very fast generation
  • Reliable and consistent
  • Good for straightforward topics
  • Available on all plans

Best for: Simple posts, quick content, testing topics

Speed: Very fast (5-15 seconds)

When to use: When you need content immediately or are experimenting with topics.

Leveraging Your Knowledge Base

The real power of AI generation comes when you connect it to your knowledge base. This allows the AI to reference your specific documents, expertise, and context.

How It Works

When you toggle "Use Knowledge Base":

  1. Waldium searches your uploaded documents
  2. Finds relevant passages related to your topic
  3. Uses that context to generate more accurate content
  4. References your specific data, examples, and terminology

What to Include

Upload these types of documents to enhance AI generation:

  • Product documentation
  • API specifications
  • Case studies and whitepapers
  • Previous blog posts
  • Research papers
  • Company guidelines and style guides

Selecting Specific Files

For even more control, you can select specific knowledge base files to reference:

  1. Toggle "Use Knowledge Base"
  2. Click "Select Files"
  3. Choose the relevant documents
  4. Generate with targeted context

This is perfect when writing about specific products, features, or topics covered in particular documents.

The Generation Process

Here's what happens when you click "Generate Post":

Step 1: Topic Analysis (2-5 seconds) Waldium analyzes your topic to understand intent, scope, and structure.

Step 2: Knowledge Retrieval (if enabled, 3-8 seconds) Searches your knowledge base for relevant context and information.

Step 3: Content Generation (5-45 seconds depending on model) Creates the post using your specified settings and retrieved context.

Step 4: Formatting and Optimization (2-5 seconds) Structures the content with proper headings, formatting, and flow.

Total time: 10-60 seconds depending on settings

Reviewing and Editing AI Content

AI-generated posts always start as drafts, giving you full control before publishing.

What to Check

Accuracy: Verify facts, statistics, and technical details are correct.

Tone: Ensure the tone matches your brand voice and audience expectations.

Structure: Check that headings flow logically and sections are well-organized.

Examples: Add specific examples from your experience or business.

Personal Touch: Insert your unique perspective, anecdotes, or insights.

Links: Add relevant internal and external links to provide more value.

The 80/20 Rule

Think of AI generation as giving you 80% of the content. You provide the final 20% that makes it uniquely yours:

  • Your specific examples
  • Your brand voice
  • Your unique insights
  • Your internal links

This approach is far faster than starting from scratch while maintaining authenticity.

Advanced Tips

Iterate on Topics

If the first generation isn't perfect, try refining your topic:

  • Add more specificity
  • Change the angle or approach
  • Include target audience in the topic
  • Adjust length or style settings

Experiment with Settings

The same topic can yield very different results with different settings:

  • Try "Professional + Informative" for business content
  • Use "Casual + Conversational" for personal blogs
  • Combine "Technical + Authoritative" for expert content

Use Multiple Generations

Generate multiple versions of the same topic with different settings, then:

  • Combine the best parts from each
  • Use one as inspiration for another
  • A/B test different approaches

Build on Existing Content

Use AI generation to expand existing posts:

  1. Copy a section from an existing post
  2. Generate new content on that subtopic
  3. Integrate the generated content
  4. Create more comprehensive guides

Common Mistakes to Avoid

Being Too Vague: "Write about marketing" gives the AI nothing to work with. Be specific.

Ignoring Your Knowledge Base: If you've uploaded documents, use them! They make content more accurate and relevant.

Publishing Without Editing: Always review AI-generated content before publishing.

Using the Wrong Style: A casual style won't work for technical documentation. Match style to content type.

Not Iterating: If the first generation isn't perfect, adjust your settings and try again.

Getting Better Results

The more you use AI generation, the better you'll get at prompting it effectively. Here's how to improve:

Keep a Swipe File: Note which topics and settings produce the best results for your needs.

Analyze Your Best Posts: Look at your top-performing content and reverse-engineer the settings that created it.

Build Your Knowledge Base: The more context you provide, the better the AI performs.

Experiment Regularly: Try different combinations of style, tone, and length to discover what works.

Provide Feedback: Edit generated content to match your preferences, and the AI will learn over time.

What's Next?

Now that you understand AI content generation, explore these advanced topics:

  • Building Your Knowledge Base: Upload documents to enhance AI generation
  • Batch Post Generation: Create multiple posts at once (Pro plan)
  • API Access: Automate content generation programmatically
  • Content Recommendations: Get AI-powered topic suggestions

Ready to generate your first AI-powered post? Click "New" → "Generate Post" and put these tips into practice!

The future of content creation is here. Let's make it amazing. 🚀

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