It’s Time to Embrace React Native
Posted July 8, 2025Since its launch in 2015, React Native has matured into a versatile, efficient cross-platform framework. Our clients trust us to recommend tooling that is capable and stable for the long run, so we created WillowTree’s React Native Pilot Group to put the cross-platform development framework through its paces. The bottom line? We’re all in.
expert heading: A note from WillowTree
A note from WillowTree
Partner & VP of Solutions Architecture Alex Shafran
How are we going to build this product?
What tech stack will help us achieve our vision?
Where can we cut costs without sacrificing quality?
We’ve heard these questions a thousand times. Every client comes to WillowTree with distinct budgets, capabilities, and goals, so every digital product we create is by definition bespoke. Before writing code, one of the most significant decisions we make is selecting a product’s development framework.
Options typically include progressive web apps (PWAs), hybrid-web “wrappers,” native app frameworks, and cross-platform frameworks. Native apps built with tools from Apple and Google are the gold standard, but they’re expensive. Third-party tools can simplify the process, but each is nuanced, offering benefits and drawbacks. What tech stack will help us achieve our vision?
Where can we cut costs without sacrificing quality? can we cut costs without sacrificing quality?hhhkhkhk
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Value Propositions
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Value Propositions LLM Evaluation Framework: How to Prevent Drift and System Degradation LLM Evaluation Framework: How to Prevent Drift and System Degradation LLM Evaluation Framework: How to Prevent Drift and System Degradation
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heading 2 LLM Evaluation Framework: How to Prevent Drift and System Degradation
Value Propositions LLM Evaluation Framework: How to Prevent Drift and System Degradation
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Heading 3LLM Evaluation Framework: How to Prevent Drift and System Degradation
Value Propositions LLM Evaluation Framework: How to Prevent Drift and System Degradation LLM Evaluation Framework: How to Prevent Drift and System DegradationLLM Evaluation Framework: How to Prevent Drift and System Degradation LLM Evaluation Framework: How to Prevent Drift and System Degradation
How your
conversational
AI talks to users
has a direct
- impact on
- customer
- satisfaction, retention, and loyalty. Imagine an insurance company’s chatbot responding to customers as “dude,” or an interactive educational app for children that speaks to them like PhD students.
- In each
- case, customers
- bring different expectations of politeness. “Dude” might be 100% appropriate language for a new auto insurance company aimed at young drivers. But for another audience, their trust is lost.
The businesses that understand this are the ones making continuous evaluation of their conversational AI systems a standard practice. This whitepaper presents WillowTree’s proven method for how to build, test, and implement such a framework.
In this guide, you’ll learn:
How to build attribute classifiers for evaluating conversational AI
- How to build and label datasets for testing these attribute classifiers
- How to build a prompts dataset for measuring target attributes on different large language models (LLMs)
How your conversational AI talks to users has a direct impact on customer satisfaction, retention, and loyalty. Imagine an insurance company’s chatbot responding to customers as “dude,” or an interactive educational app for children that speaks to them like PhD students.
