As developers, we live for the thrill of building. We love turning a complex problem into elegant, functional code. What we don't love is the endless friction that stands between our idea and a production-ready application: wrestling with infrastructure, debugging cryptic runtime errors, and writing boilerplate code for data validation.
What if you could reclaim that time? What if you could focus purely on the business logic and trust that the execution would be reliable, scalable, and—most importantly—typesafe?
Enter Functions.do, a developer platform designed to eliminate the complexity of serverless frameworks and let you get back to what you do best: coding.
Serverless platforms like AWS Lambda promised to free us from managing servers. While they delivered on that promise, they introduced a new set of complexities. You write a function, but then you need to configure an API Gateway, set up IAM roles, define VPC settings, and meticulously manage dependencies and environment variables.
Worse yet, when you stitch multiple functions together, you lose end-to-end typesafety. You're left manually validating JSON payloads, writing defensive code to handle unexpected null values, and spending hours in CloudWatch logs trying to figure out why a downstream service failed. The focus shifts from solving business problems to managing operational overhead.
Functions.do takes a different approach. We believe in Functions-as-Code as a holistic concept. It's not just about running a script in the cloud; it's about defining, deploying, and executing complex business logic as simple, version-controlled functions.
With Functions.do, you get an agentic framework that is purpose-built for business logic. It abstracts away the infrastructure, but it doesn't stop there. It provides native typesafety, discoverability, and composability out-of-the-box, allowing you to go from idea to a production-ready API in minutes.
Let's talk about the magic word: typesafe. In the context of Functions.do, this means the platform acts as a strict contract between your code and the function you are calling.
Typesafety ensures that:
This eliminates a massive category of common runtime errors. No more undefined is not a function because an API returned an unexpected shape. Your IDE's autocomplete works perfectly, your code becomes more predictable, and you spend significantly less time debugging data-related issues.
Imagine you need to generate a business model canvas based on a product idea. With traditional methods, this would involve complex logic, multiple data sources, and probably a large language model. With Functions.do, it's a single, typesafe API call.
Check out how simple it is using our TypeScript client:
import { Client } from 'functions.do';
// Initialize the client with your API key
const fns = new Client({ apiKey: 'your_api_key_here' });
// Define the input for a complex business function
const input = {
productName: 'Agentic Workflow Platform',
problem: ['Complex business processes are manual and error-prone.'],
customerSegments: ['Enterprise Developers', 'DevOps Teams']
};
// Execute the function and get a typesafe result
async function generateBusinessModel() {
const leanCanvas = await fns.run('generate/lean-canvas', input);
// The 'leanCanvas' object is fully typed.
// Your IDE knows .uniqueValueProposition exists!
console.log(leanCanvas.uniqueValueProposition);
// Expected output: "The simplest way to deliver business services as software."
}
generateBusinessModel();
In this example, fns.run() executes a powerful, potentially multi-step function. The leanCanvas constant you receive is not just a blob of JSON; it's a fully-typed object. You can confidently access leanCanvas.uniqueValueProposition knowing it will be there and it will be a string, just as the function's contract promises. This is the "more time coding, less time debugging" promise in action.
Functions.do isn't just for simple data transformations. It's built to handle complex, multi-step agentic workflows. The generate/lean-canvas function is a perfect example. Behind that single API call is an intelligent agent that can understand context, perform multiple steps of reasoning and data retrieval, and synthesize a final, structured output.
You can use Functions.do to run sophisticated tasks like:
All this power is available through the same simple, reliable, and typesafe API.
It's time to shift your focus from operations to outcomes. Functions.do provides the reliable, typesafe execution layer that empowers you to build robust applications faster than ever before. Leave the complexity of serverless infrastructure and data validation to us.
Ready to trade debugging for building? Explore Functions.do today and discover a better way to ship software.
What is Functions.do?
Functions.do is an AI-powered platform that lets you define and execute business logic as simple, typesafe functions. It turns complex workflows into reliable APIs, abstracting away the infrastructure complexity so you can focus on building.
How is this different from AWS Lambda or other FaaS platforms?
While traditional FaaS platforms provide the infrastructure, Functions.do provides a fully-managed, agentic framework. It is purpose-built for business logic, offering native typesafety, discoverability, and composability out-of-the-box, allowing you to focus on outcomes, not operations.
What does 'typesafe' mean in this context?
Typesafety ensures that the inputs you provide to a function and the outputs you receive are always correctly structured. Our platform validates data at every step, eliminating common runtime errors and making your applications more reliable and easier to debug.
What kind of functions can I run?
You can run anything from simple data transformations to complex, multi-step agentic workflows. Examples include generating a business plan, enriching user data, analyzing market trends, or automating customer support tasks—all through a single, consistent API.