Building experiences with AI
Uniform provides AI-powered tools that help teams build digital experiences faster and more efficiently while maintaining quality and consistency. Whether you're a content creator building pages or a developer defining your content model, Uniform's AI capabilities can accelerate your workflow and reduce repetitive tasks.
Overview#
Uniform offers different AI tools designed for specific roles and workflows:
- Content creators and marketers use Scout and AI quick edits to build and optimize experiences directly in the Uniform app
- Developers use the MCP server to create and manage components and content types through their AI coding assistant
All AI tools benefit from AI guidance, which helps the AI understand your brand voice, content requirements, and architectural standards.
AI tools overview#
In-app tools (for content creators)#
- Scout - AI agent for creating and editing compositions, entries, personalization, and SEO optimization
- AI quick edits - Fast, single-field content generation and translation
- AI guidance - Define instructions for AI at project, component, and field levels
Developer tools#
- MCP server - Connect Uniform to your AI coding assistant to manage component definitions, content types, and more
note
All AI features require AI credits. Ensure your team has credits allocated before getting started.
Getting started by role#
Content creators and marketers#
Start using AI in Uniform by accessing Scout from the global navigation or trying AI quick edits on any field. Ensure your team has AI credits allocated before getting started.
Developers and experience architects#
Install the MCP server to work with Uniform through your AI coding assistant. You'll need team admin access and an MCP-compatible editor like Cursor or Claude Code.
When to use which AI tool#
Understanding when to use each AI tool helps you work more efficiently. Here's a practical decision guide:
Use Scout#
- Creating pages from scratch - Build entire compositions with multiple components
- Multi-component edits - Make changes across multiple components at once
- Conversational workflows - Iterate with back-and-forth refinement
- Complex operations - Set up personalization and A/B tests (see Optimize with AI) or SEO optimizations
- Learning Uniform - Ask questions about features and get guidance
- Content structure changes - Add, move, or reorganize components in slots
Example prompts:
- "Create a new composition named 'Product Launch 2024' with a Hero component, Features component, Testimonials component, and CTA component"
- "Add personalization to the hero component targeting the 'First-Time Visitors' audience and the 'Returning Customers' audience"
- "Run an SEO analysis on this page and fix any critical issues"
Learn more in the Scout documentation.
Use AI quick edits#
- Single-field updates - Fast content generation for individual parameters or fields
- Translation - Quickly translate content to other locales
- Content refinement - Rephrase, shorten, or improve existing text
- A/B test variations - Generate alternative copy for testing
- Field-specific content - Leverage field-level AI guidance for targeted content
Example prompts:
- "Translate this to German"
- "Make this headline more concise, under 60 characters"
- "Rewrite this in a professional tone suitable for enterprise audiences"
- "Simplify this description to focus on the primary benefit"
Learn more in the AI quick edits documentation.
Use MCP server#
- Content model development - Create and update component definitions
- Content type management - Define and modify content types
- Developer workflows - Work within your coding environment
- Bulk operations - Manage multiple definitions efficiently
- Version control integration - Keep component definitions in sync with your codebase
Example prompts (in your AI coding assistant):
- "Create a Card component with parameters: image (asset type), title (text), description (rich text), and buttonText (text)"
- "Add a new 'author' field (text type) to the Article content type"
- "Update the Hero component to add a 'backgroundImage' parameter (asset type)"
Learn more in the MCP server documentation.
Common workflows#
Building a new landing page#
Tools: Scout + AI quick edits
- Open Scout and describe the page you want to create
- Scout creates the composition structure with components
- Use AI quick edits to refine individual headlines, descriptions, and CTAs
- Optionally, set up personalization or A/B tests (see Optimize with AI)
- Review and publish
Example: "Create a new composition named 'Analytics Product Launch' with these components: Hero component with headline and CTA, Benefits component with three feature cards, Testimonials component, and Pricing component."
Localizing content#
Tools: Scout or AI quick edits (depending on scope)
For complete pages:
- Open the composition in the target locale
- Ask Scout: "Translate all content on this page to French (fr-FR locale)"
- Review translations for accuracy and cultural appropriateness
For individual fields:
- Navigate to the field in the target locale
- Click the AI quick edit icon
- Use prompt: "Translate this to Spanish (es-ES locale)"
Setting up a new content model#
Tools: MCP server
- Describe your content structure to your AI coding assistant
- The MCP server creates component and content type definitions
- Review in Uniform and commit to version control using the sync command
Example: "Create a BlogPost component with these parameters: heroImage (asset type), headline (text), authorName (text), publishDate (date), body (rich text), and relatedArticles (content reference to Article content type, multi-select). Also create an Author content type with fields: name (text), bio (rich text), and photo (asset)."
Optimizing experiences with AI#
Beyond building content, AI can help optimize your experiences for search engines and social media sharing.
Conversion optimization
For A/B testing and personalization workflows to optimize conversions, see the Optimize with AI guide.
SEO optimization#
Scout can analyze pages and provide SEO recommendations, then automatically fix common issues:
Running an SEO audit: Ask Scout: "Run an SEO analysis on this page" to identify issues with meta tags, headings, content structure, and more.
Fixing SEO issues: Scout can automatically fix many SEO problems, or you can use AI quick edits for targeted optimization of meta descriptions, title tags, and alt text.
Example prompts:
- "Run a comprehensive SEO audit on this page and automatically fix all critical issues"
- "Write an SEO-optimized meta description for this product page, 150-160 characters, including the keywords 'analytics platform' and 'data insights'"
- "Generate descriptive alt text for this product screenshot that includes 'analytics dashboard' for SEO"
SEO best practices: Configure AI guidance on SEO fields to ensure consistent optimization. For example, set guidance on meta description fields to always include primary keywords and stay within 150-160 characters.
Social media optimization#
Use Scout to generate open graph tags and social media previews:
Example prompts:
- "Generate complete open graph tags (og:title, og:description, og:image) for this product page"
- "Create LinkedIn-optimized open graph tags for this case study article, focusing on B2B decision makers"
- "Write a compelling Twitter/X description (under 280 characters) for this blog post about AI in marketing"
Use cases#
Rapid prototyping#
Quickly build page structures with Scout or create component definitions with the MCP server, then iterate based on feedback.
Content at scale#
Generate consistent content across multiple pages. AI guidance ensures brand voice consistency.
Maintaining standards#
Enforce editorial and architectural standards through AI guidance that Scout and the MCP server follow automatically.
Team onboarding#
New team members use Scout to learn your project structure and best practices while building real content.
Next steps#
For content creators#
- Set up AI guidance at the project level for your brand voice
- Start with Scout to build your first AI-assisted composition
- Explore AI quick edits for efficient field-level updates
- Learn about conversion optimization with AI for A/B testing and personalization
For developers and experience architects#
- Install and configure the MCP server
- Create your first component using natural language
- Set up AI guidance for your components and content types
- Integrate Uniform sync into your development workflow
info
AI is a powerful assistant, but always review and refine AI-generated content to ensure it meets your specific requirements and brand standards.
Related guides#
- Optimize with AI - Set up A/B testing and personalization for conversion optimization
- Scout - Detailed guide on Uniform's AI agent capabilities
- AI quick edits - Fast single-field content generation and refinement
- AI guidance - Configure AI to understand your brand voice and content standards
- MCP server - Connect Uniform to your AI coding assistant
- AI credits - Manage your team's AI usage