Introducing Miniloop Agents: AI agents that connect to your appsRead more

AI Blog Writer for Contentful

Publish AI-written blog posts with cover images to Contentful. Structured content that works across web, mobile, and any channel.

Triggers on a manual

Trigger iconWhen you provide a blog topic
OpenAIAnalyze topic and plan content structure
OpenAIGenerate the article content
OpenAICreate an image for the entry
ContentfulSave entry and asset as draft
ContentfulMake entry live
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Give the agent a topic and it researches, writes, generates a cover image, and creates a draft entry in your Contentful space. Review in the web app and publish when ready. Structured content from the start.

1
OpenAI

Research topic and create outline

You provide a topic or target keyword. The agent researches the subject, identifies what to cover, and builds an outline with a title, meta description, and heading structure.

2
OpenAI

Write the full blog post

Using the outline, the agent writes the complete post. The content is structured as Rich Text, ready for Contentful's content model.

3
OpenAI

Generate cover image

The agent generates a cover image based on the topic. The image is uploaded as an asset in Contentful and linked to the entry.

4
Contentful

Create draft entry in Contentful

The blog post entry is created as a draft with the cover image asset linked. All fields in your content type are populated according to your mapping.

5
Contentful

Publish to Contentful

After review in the Contentful web app, the agent publishes the entry. It becomes available via the Content Delivery API for your frontend.

How it works with Contentful

This workflow connects to your Contentful space via the Content Management API. You provide a topic, and the agent creates a complete blog entry with structured content and assets.

Content is stored as Rich Text, Contentful's structured format. This means your frontend can render it however you want, and the content works across web, mobile, and any other channel.

Why Contentful for automated content

Contentful's headless approach is built for this kind of workflow:

True multi-channel. The same blog entry can power your website, mobile app, email newsletter, and digital signage. Structured content adapts to any presentation layer.

Environment support. Create entries in a staging environment first. Preview them in your staging frontend. When ready, promote to production. The agent works with any environment in your space.

Localization built in. If your content type supports multiple locales, the agent can create entries in your default locale. Localized versions can be added later following your existing translation workflow.

Content modeling flexibility. Your blog content type might have fields other CMSs don't support: related posts, content blocks, custom components. Map them during setup and the agent populates them.

Setting up the Contentful connection

You need:

  • A Contentful space with a blog post content type
  • A Content Management API access token
  • Your Space ID and environment name

During setup, you select your blog content type and map the agent's output to your fields:

  • Title field
  • Slug field
  • Body field (Rich Text)
  • Cover image field (asset reference)
  • Any other fields you want populated

Required fields must be mapped. Optional fields can have defaults or be left empty.

Rich Text output

The agent outputs Contentful Rich Text, not Markdown or HTML. This means:

Proper document structure. Headings, paragraphs, lists, and inline formatting are all structured nodes. Your Rich Text renderer handles display.

Embedded entries and assets. The cover image is linked as an asset reference. If your content type supports embedded entries (like callouts or author bios), those can be added during review.

Consistent rendering. Whether you use @contentful/rich-text-react-renderer, rich-text-html-renderer, or a custom renderer, the structure is the same.

Working with environments

Many teams use multiple Contentful environments:

  • Master/Production: Live content
  • Staging: Content in review
  • Development: Testing changes

You can point the agent at any environment. A common pattern: create drafts in staging, review with your staging frontend, then use Contentful's merge or publish features to push to production.

FAQ

Does this work with any content type?

Yes. During setup, you select your content type and map fields. The agent adapts to your model. If you have required fields beyond the basics, you can set defaults or map them to generated values.

How does it handle Rich Text?

The agent creates Rich Text documents with proper node structure. Headings are heading nodes, paragraphs are paragraph nodes. Your existing Rich Text renderer will display it correctly.

Can I use this across multiple locales?

The agent creates entries in your default locale. For multi-language content, create the base entry with the agent, then add translations through your normal localization process.

What about linked entries?

The cover image is created as an asset and linked. For other linked entries (categories, authors, related posts), you can configure defaults during setup or add them during review.

Does it work with Contentful's preview API?

Yes. Draft entries created by the agent are available via the Preview API. Your preview frontend can display them before they're published to the Delivery API.

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