The challenge
Scaling human support in a world of infinite questions isn’t just a technical problem—it’s an emotional one. When millions of players need help—across 40+ languages—traditional workflows crumble, and teams risk burnout. Copy-paste templates and manual rewrites can’t keep up. Xbox needed speed, scale, and soul.
The breakthrough
Enter Copilot Playground—an AI-powered workspace where writers, agents, and editors could generate production-ready content in real time. No code. No waiting. Just results. The transformation was immediate: what once took hours now took minutes, and the team felt the difference overnight.
The transformation
With Copilot Playground, we turned hours of content work into minutes—and raised quality in the process.
“It used to take a day to publish across all locales. Now it’s 20 minutes.”
AI model coverage & familiarity (June 2025)
22
Total models
7
Dev variants
10
Phi variants
Technical details
Hands-on experience with a wide range of LLMs, adapting to each project's needs and always matching the right model to the right workflow.
I approach every model with curiosity and respect, always aiming to match the right tool to the right problem.
Playground toolkit
Uber chain prompt
Showcases Foundry’s ability to chain prompts and templates together for rapid prototyping and creative support workflows.
Headline generator
Produces short, medium, and long headlines for engaging titles, all with instant character counts.
Hub page generator
Kick-starts hub page design with AI—compelling headlines, descriptions, and layout ideas.
Error code generator
Streamlines error code generation for every support scenario, making troubleshooting fast and scalable.
Error code generator with dataset
Tests "stranger" error codes for adaptability—see how Foundry manages the unexpected.
SEO error code keyword generator
Extracts key search terms from web pages linked to specific error codes for SEO optimization.
SEO error code description generator (prod)
Creates SEO-optimized meta descriptions for error code pages—precise, user-focused, production-ready.
SXC SEO error code description generator (dev)
Development version with on-screen diagnostics and deeper insights into SEO output.
SEO tools
SEO keyword generator
A template designed for selecting and integrating keywords that are most likely to connect with your target audience, based on search trends and intent.
SEO description generator
Helps create concise and SEO-optimized descriptions for SXC content, including target audience, key features, and relevant keywords.
SEO chain
Combines SEO descriptions and keywords templates with an analysis tool that evaluates performance and offers improvement recommendations.
Content scrubber
This tool conducts focused and effective searches on the Xbox support website with advanced processing for accurate results across multiple languages. The process includes:
- Input Processing: Validates input phrases for accuracy before search
- Keyword Optimization: Prioritizes exact matches and considers variations
- Search Execution: Uses advanced techniques including quotation marks and site-specific searches
- Result Analysis: Identifies and analyzes the most relevant results with contextual relevance
Content quality analyzer
Analyze text for readability, clarity, and tone, providing actionable suggestions to improve support content quality.
Content tools
Headline generator
Produces short, medium, and long headlines from text or URL input, including character counts. Perfect for creating engaging titles for home cards and articles.
Lorem ipsum generator
Generate placeholder text that resembles coherent Latin or other language-like text with character count included. Ideal for layout mockups and content planning.
Hub page generator
Efficiently kick-start your hub page design with AI, streamlining the creative process with compelling headlines, descriptions, and layout ideas.
Content utilities
Category generator
Analyzes text or URLs and categorizes them into predefined categories, streamlining user support by matching queries to specific topics.
Instant answers
Generates concise, helpful responses for common support queries, including content scenarios and error code explanations.
- Content Scenario Generator
- Error code explanation generator
Localization generator
Generate localized content for different languages, including translations and cultural adaptations.
Power tools
Diff tool
Compare and contrast the content of two text inputs side by side, perfect for content verification and quality control.
Game Title Translator
Translate game titles into all supported languages, typically used for Notification Banners.
XboxLocExpress
An alternative solution for localization and translation tasks when standard processes are unavailable.
Chat bots
SXC help chat
Offers a foundational approach to Xbox console troubleshooting with empathy, expertise, and tailored solutions.
SXC SEO chat bot
A simplified interface for all your SEO needs, from keyword generation to description rating and optimization.
SXC Home Card Headlines
Create concise, engaging headlines for home cards on SXC, ensuring they fit within character limits while being compelling.
Behind the scenes
Engineering excellence in AI
Building the Copilot Playground required solving complex technical challenges while maintaining performance and reliability. Here's a glimpse into the architecture:
- Multi-layered architecture – Clean separation between prompt logic, validation chains, and delivery pipelines.
- Handlebars prompting – Prompts use Handlebars templates (e.g.
{{user_issue}},{{platform}}) for reusable, scalable AI logic. - Validation layers – Built-in filters ensure outputs are safe, relevant, and aligned with brand tone.
- Fully Customizable – Templates adapt across products, audiences, and locales with minimal lift.
- Locale-Aware Output – Prompt outputs adjust tone and structure based on language and regional nuance.
- Persona Conditioning – Supports roles like Agent, Specialist, or Explainer using context-aware logic injection.
class PromptEngine:
def __init__(self, model="gpt-4"):
self.model = model
self.templates = self._load_templates()
def generate(self, template_name, **kwargs):
"""Generate content using predefined prompt templates"""
template = self.templates.get(template_name)
if not template:
raise ValueError(f"Template {template_name} not found")
# Apply template with provided variables
prompt = template.format(**kwargs)
# Add system message for context
system_msg = """You are an AI assistant specialized in gaming support.
Provide accurate, helpful responses while maintaining a friendly tone."""
return self._call_api(system_msg, prompt)
def _load_templates(self):
# Load prompt templates from version control
passPrompt engineering techniques
Multi-agent systems
Orchestrated specialized AI agents that collaborate on complex tasks, with each agent handling specific aspects like content generation, validation, and localization.
Prompt chaining
Designed sequential prompt workflows where each step's output becomes the next step's input, enabling complex reasoning and content generation.
Guardrail implementation
Built-in validation layers that ensure outputs meet quality standards, brand guidelines, and safety requirements before reaching end-users.
Engineering impact
5+
Novel prompt patterns
10x
Faster iteration
100%
Uptime
- Reduced Latency: Optimized prompt chains decreased response times by 60% while improving output quality.
- Cost Efficiency: Fewer API calls and tokens used through prompt optimization, reducing operational costs by 40%.
- Scalability: Designed prompts that maintain quality across 25+ LLM models and 40+ languages.
- Reliability: Implemented fallback mechanisms that maintain service during model updates or partial outages.
- Maintainability: Structured prompt templates with clear versioning and documentation for team collaboration.
Engineering insights
Guardrails as code
Implemented a multi-layered validation system that includes regex patterns, semantic checks, and model-based validation to ensure all AI outputs meet strict quality and safety standards before reaching production.
Augment teams
AI excelled at routine updates, allowing human experts to focus on complex issues and strategy.
Global nuance
40+ language support demanded sophisticated prompt engineering for cultural context and localization.
Related projects
Next Project
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