Heading

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Resource

Smart Buyer’s AI Partner Checklist – Choose the Right AI Agency

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A practical checklist to help you assess AI vendors, avoid common pitfalls, and ask the right questions about data, models, compliance, and long-term support.

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In this hands-on resource, you’ll get everything you need to make smart, confident decisions when hiring an AI development partner. Whether you’re exploring AI for the first time or evaluating vendors for a complex project, this guide breaks down what matters and what to avoid.

You’ll learn:

The key differences between types of AI projects (custom vs. off-the-shelf, predictive vs. generative, PoC vs. production)
Plain-language definitions of essential AI terms like LLMs, RAG, fine-tuning, and vector databases
The most important questions to ask, both internally and to any agency you’re considering, to ensure technical fit, data readiness, security, and long-term support

Bonus

A clear checklist of vendor red flags and an AI partner fit scoreboard to help you compare your options with confidence.

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You’ll learn:

The key differences between types of AI projects (custom vs. off-the-shelf, predictive vs. generative, PoC vs. production)
Plain-language definitions of essential AI terms like LLMs, RAG, fine-tuning, and vector databases
The most important questions to ask, both internally and to any agency you’re considering, to ensure technical fit, data readiness, security, and long-term support