Building reliable applications in today's complex landscape can be a challenge. Integrating external services, especially those powered by Generative AI, often introduces unpredictable issues and the dreaded runtime errors. What if you could build with confidence, knowing your functions will consistently deliver the results you expect? That's where Functions.do comes in.
Functions.do is a ground-breaking function execution platform designed to bring typesafety to your external function calls, particularly those involving Generative AI. Imagine eliminating runtime type errors before your code even runs! With Functions.do, this becomes a reality.
Traditional approaches to interacting with external functions, including many AI APIs, often lack strong type guarantees. You might send data and receive a response, but without rigorous validation, you're left hoping the data structure and types match what you expect. This leads to:
Functions.do tackles these problems head-on by focusing on typesafety. Our platform leverages compile-time type checking and validation to ensure the data you send to and receive from functions conforms to predefined schemas. This means:
Functions.do works by defining clear, typesafe interfaces for your function calls. Whether you're interacting with a custom function or a Generative AI model, you define the expected input and output types. Our platform then enforces these types, both at compile-time (if you're using a strongly-typed language with our SDK) and at runtime.
Consider this simple example using our TypeScript SDK:
import { AI } from 'functions.do'
const ai = AI({
leanCanvas: {
productName: 'name of the product or service',
problem: ['top 3 problems the product solves'],
solution: ['top 3 solutions the product offers'],
uniqueValueProposition: 'clear message that states the benefit of your product',
unfairAdvantage: 'something that cannot be easily copied or bought',
customerSegments: ['list of target customer segments'],
keyMetrics: ['list of key numbers that tell you how your business is doing'],
channels: ['path to customers'],
costStructure: ['list of operational costs'],
revenueStreams: ['list of revenue sources'],
recommendations: ['list of recommendations based on the analysis'],
},
})
In this example, we're defining the expected structure of a "leanCanvas" object when interacting with an AI function. The SDK provides type definitions for this structure. If you attempt to call this function with an object that doesn't match this type, your code editor will likely flag the error before you even run your code! This is the power of compile-time type checking.
Functions.do takes this further by also validating the output of the function at runtime. This layered approach ensures maximum reliability.
While Functions.do excels at simplifying Generative AI integration, its benefits extend to any function execution. You can use Functions.do to define and execute any piece of logic or interaction as a typesafe function. This aligns perfectly with the concepts of "Business-as-Code" and "Services-as-Software," allowing you to encapsulate complex business logic and external service interactions into reliable, reusable, and typesafe functions.
If you're looking for a platform that enables you to build reliable applications with confidence, especially when working with Generative AI, look no further than Functions.do. Our focus on typesafety eliminates runtime errors, accelerates development, and allows you to build "Generative AI Functions That Just Work."
Experience the future of function execution. Visit Functions.do today and start building with confidence.