Byte · 3–7 min read ~5 min

Accessibility for AI Interfaces

Screen-reader-friendly AI output, cognitive load, and reading-level tuning.

Concept

Accessibility for AI Interfaces sits at the core of the Human-AI Product Designer stack. It is the bridge between theory and a buildable artifact: you learn just enough of the concept here (a Byte), then immediately apply it in the sandbox. The goal is not exhaustive coverage — it is enough to build confidently and defend what you built.

In production systems this competency shows up as a trade-off between reliability and velocity. A naive implementation works in the happy path, but the real test is how it behaves when tools fail, contexts overflow, or the model returns malformed output. The worked example on the right shows a small but realistic implementation you can adapt in the build sandbox.

As you read, keep this question in mind: what would I say in an oral defense if the examiner asked me to justify one design choice in this Byte? Capture that one sentence before you move on — it becomes part of your process trace.

Worked example

Reference implementation you can adapt in the sandbox.

import { tool } from '@langchain/core/tools';
import { z } from 'zod';
import { ChatOpenAI } from '@langchain/openai';

// Define a function-calling tool with a typed schema
const weatherSchema = z.object({
  city: z.string().describe('City to fetch weather for'),
  units: z.enum(['celsius', 'fahrenheit']).default('celsius'),
});

const getWeather = tool(
  async ({ city, units }) => {
    const res = await fetch(`/api/weather?city=${city}&units=${units}`);
    return res.json();
  },
  {
    name: 'get_weather',
    description: 'Fetch the current weather for a city',
    schema: weatherSchema,
  },
);

// Bind tools to a chat model and invoke with a tool call
const model = new ChatOpenAI({ model: 'gpt-4o-mini' });
const modelWithTools = model.bindTools([getWeather]);

const response = await modelWithTools.invoke(
  'What is the weather in Tokyo right now?',
);

console.log(response.tool_calls);