Building reliable applications in the age of AI shouldn't feel like navigating a minefield of potential errors. Generative AI offers incredible power, but integrating it into your applications often comes with the challenge of unpredictable outputs and runtime errors. What if you could harness the power of AI with the predictability and reliability of strongly-typed functions?
Enter Functions.do.
Functions.do provides a platform designed for executing AI-powered functions with a unique focus on type safety. This isn't just another serverless platform; it's a solution built to deliver reliable, structured results from your AI interactions, eliminating the common headaches associated with integrating generative AI.
Traditional function frameworks and building AI integrations from the ground up can be complex. You have to manage infrastructure, handle deployments, deal with varying AI model outputs, and implement rigorous runtime validation. Functions.do simplifies this. Our platform abstracts away the boilerplate, allowing you to focus on the core logic of your function and what you expect the AI to deliver.
The magic lies in typesafe functions. This means that the output generated by the AI adheres to a predefined structure and data types you define. This might sound simple, but it's a game-changer for building reliable applications.
Imagine asking an AI to generate a Lean Canvas for your product. Without type safety, you might receive the information in a myriad of formats – lists, paragraphs, nested objects – making it difficult to parse and integrate into your application.
With Functions.do, you define the expected output structure using types. Look at this example using TypeScript:
In this example, we're defining the exact structure we expect for the leanCanvas output. Functions.do ensures that the AI output conforms to this structure. This provides compile-time type checking and validation. If the AI output doesn't match the defined type, you'll know before your application runs, catching potential errors at development time rather than experiencing runtime crashes in production.
This compile-time validation is the key to building truly reliable applications with generative AI. You catch errors early, reducing debugging time and increasing the overall stability of your software.
While traditional function-as-a-service platforms are powerful, integrating AI often requires manual handling of API calls, parsing responses, and implementing error checks for unstructured or semi-structured data. Functions.do is built with AI at its core, abstracting away these complexities and providing a seamless experience for executing AI-powered tasks. We handle the interaction with the AI model and enforce the type safety you define, delivering the reliable results you need.
Typesafe AI functions bridge the gap between the flexibility of generative AI and the need for predictable, structured data in software development. They guarantee that the output generated by an AI model conforms to a predefined schema and data types. This means if you ask an AI to generate a list of product features, a typesafe function will ensure you receive an actual list of strings (or whatever type you define), not just a block of text you then have to parse yourself. This predictability is crucial for building applications that can reliably consume and act upon AI-generated data.
If you're looking to build more reliable applications with generative AI, Functions.do offers a powerful and intuitive solution. Say goodbye to runtime errors caused by unpredictable AI outputs and embrace the confidence that comes with typesafe function execution.
Explore Functions.do today and experience AI that just works. Build with confidence, knowing your functions will deliver the structured, predictable results your applications need.
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']
}
})