How the AI Agent Works
Discover how our automated blog generation system uses Google Gemini to create engaging content with AI-powered text and image generation.

In today's digital landscape, automated content generation has become a game-changer for businesses looking to scale their content marketing efforts. Our blog generation system leverages the power of Google Gemini AI to create high-quality blog posts automatically, complete with engaging text and stunning visuals.
The Technology Stack
Our system is built on Google Gemini 2.5 Flash, a cutting-edge AI model that powers both text and image generation. This dual-purpose approach ensures that every blog post is not only well-written but also visually appealing.
Text Generation: gemini-2.5-flash
The text generation component (implemented in text-generation.ts at line 97) is responsible for creating the core content of each blog post. Here's what it generates:
- Title: Compelling, SEO-friendly headlines
- Content: Well-structured, informative blog post body
- Excerpt: Concise summaries for previews
- Meta tags: SEO-optimized metadata
- Slug: URL-friendly identifiers
Configuration:
- Max output tokens: 8,192
- Temperature: 0.7 (balanced creativity and coherence)
Image Generation: gemini-2.5-flash-image
The image generation component (implemented in image-generation.ts at line 105) creates visual content for each blog post:
- 1 Featured image: The main hero image for the blog post
- 2-3 Content images: Supporting visuals throughout the article
Supported aspect ratios:
- 16:9 (widescreen)
- 1:1 (square)
- 4:3 (standard)
The Process Flow
Understanding how the system works end-to-end helps appreciate its efficiency:
- Cron Job Trigger: A scheduled cron job calls
/api/cron/generate-blog - Template Selection: The system selects a prompt template from the database
- Text Generation: Gemini 2.5 Flash generates the blog content
- Image Generation: Multiple images are created using Gemini 2.5 Flash Image
- Storage Upload: Images are uploaded to Supabase Storage
- Database Entry: A draft blog post is created in the database
This automated workflow ensures consistent, high-quality content generation without manual intervention.
Cost Estimation
Understanding the economics of AI-powered content generation is crucial for scaling. Here's a breakdown of estimated costs:
Per Blog Post
Text Generation:
- Approximately 2,000–4,000 tokens (input + output combined)
Image Generation:
- 3–4 images per blog post (1 featured + 2–3 content images)
Scaling Costs
For 10 blogs:
- Text: ~$0.02–$0.08
- Images: ~$0.10–$0.40
- Total: ~$0.12–$0.48
For 100 blogs:
- Text: ~$0.20–$0.80
- Images: ~$1.00–$4.00
- Total: ~$1.20–$4.80
For 1,000 blogs:
- Text: ~$2.00–$8.00
- Images: ~$10.00–$40.00
- Total: ~$12.00–$48.00
Important Considerations
These are rough estimates. Actual costs depend on several factors:
- Gemini API pricing: Check your Google Cloud Console for current rates
- Token usage per blog: Varies based on content length and complexity
- Image generation pricing: May differ based on resolution and aspect ratio
- Free tier allowances: Google Cloud may offer free credits that offset initial costs
Benefits of AI-Powered Blog Generation
1. Scalability
Generate hundreds or thousands of blog posts without proportional increases in human resources. The system can run 24/7, creating content at a pace that would be impossible manually.
2. Consistency
Every blog post follows the same quality standards and structure, ensuring a consistent brand voice and user experience across all content.
3. Cost Efficiency
At approximately $0.12–$0.48 per blog post (for small batches), the cost is significantly lower than hiring content writers, especially when scaling to hundreds or thousands of posts.
4. Speed
What would take a human writer hours or days can be accomplished in minutes, from generation to publication-ready draft.
5. SEO Optimization
The AI automatically generates SEO-friendly titles, meta tags, and structured content that helps improve search engine visibility.
Best Practices
To maximize the effectiveness of your AI blog generation system:
- Template Quality: Invest time in creating high-quality prompt templates that guide the AI toward your desired content style
- Review Process: Always review and edit generated content before publishing to ensure accuracy and brand alignment
- Image Selection: Curate generated images to ensure they match your brand aesthetic
- Cost Monitoring: Regularly monitor your API usage to stay within budget
- A/B Testing: Test different templates and configurations to find what works best for your audience
The Future of Content Generation
As AI technology continues to evolve, we can expect:
- Improved Quality: More natural, engaging content that's indistinguishable from human-written articles
- Better Context Understanding: AI models that better understand industry-specific nuances
- Enhanced Image Generation: More sophisticated visuals with better composition and relevance
- Lower Costs: As technology matures, costs are likely to decrease further
Conclusion
Our AI-powered blog generation system represents a significant leap forward in automated content creation. By leveraging Google Gemini 2.5 Flash for both text and image generation, we've created a scalable, cost-effective solution that can produce high-quality blog posts at scale.
Whether you're looking to generate 10 blog posts or 1,000, the system provides a reliable, efficient way to maintain a consistent content pipeline. With careful monitoring and optimization, you can achieve impressive results while keeping costs manageable.
The future of content marketing is here, and it's powered by AI.