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AI APIs Use Cases

This is a collection of practical tutorials that showcase diverse use cases for AI APIs in modern development. Learn how to automate design QA, build a "Chat with PDF" tool, create an AI sticker generator, and develop intelligent Chrome extensions. Each project demonstrates how to integrate cutting-edge AI models into real-world applications to enhance productivity, creativity, and user experience.

December 24, 2025

AI Head of Design with AI/ML API

An AI-powered "virtual Head of Design" helped a global marketplace automate design QA, slashing routine review time by 80% and freeing senior designers to focus on product strategy instead of inconsistencies.

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December 24, 2025

Build an AI-Powered Web Design Time Machine: Transform Modern Sites into Retro 90s Styles

This tutorial walks you through building an AI-powered tool that automatically transforms modern websites into nostalgic 90s-style designs using AI/ML API, Firecrawl for web scraping, and Next.js.

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December 24, 2025

Build a Full-Stack "Chat with PDF" Application with AI, Vector Search, and Text-to-Speech

This tutorial guides you through building a full-featured "Chat with PDF" application from scratch using AI/ML API for text processing and speech synthesis, Pinecone for vector search, Next.js for the frontend, and Express for the backend, enabling document uploads, intelligent Q&A, web search fallback, and text-to-speech functionality.

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January 29, 2026

Build an AI Text Humanizer with Authentication and Deployment: From ChatGPT to Human-Like Writing

This tutorial guides you through building a full-featured AI text humanizer that transforms AI-generated content into natural, human-like writing using AI/ML API for processing, Next.js for the frontend, Clerk for authentication, and Vercel for deployment.

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February 18, 2026

Building an AI-Powered Chrome Extension to Summarize Websites: A Complete Guide

This tutorial provides a step-by-step guide to building an AI-powered Chrome extension for summarizing web content using the AI/ML API, covering the manifest, content scripts, popup interface, and deployment.

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January 29, 2026

Build an AI Sticker Maker with Next.js & OpenAI: A Step-by-Step Tutorial

This tutorial walks you through building a fun and functional AI Sticker Maker platform where users input a text prompt to generate a custom, cute sticker using the AI/ML API to enhance prompts with GPT-4o and create images with DALL·E 3, all within a Next.js and TypeScript frontend.

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July 24, 2025

OCR Reader, Analyzer, and Chat Assistant using Zerox, GPT-4o, powered by AI/ML API

This article describes an OCR Document Reader that extracts text from documents using Zerox and GPT-4o, featuring Gradio for user interaction.

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July 30, 2025

Building a Chrome Extension from Scratch with AI/ML API, Deepgram Aura, and IndexedDB Integration

Learn how to leverage AI and machine learning to enhance user experience in your Chrome extension.

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July 30, 2025

Speech-to-text Multimodal Experience in NodeJS

Combine speech and text models in NodeJS for advanced audio transcription and analysis.

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Comparisons

In-depth analysis comparing AI models' performance across diverse scenarios, including code generation, visual processing, and multimedia content creation tasks.

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LLM Basics

What is LLM. How is AI Inference different from training. Is API a part of AI. We collected all the questions an AI novice can have. This is the FAQ for the beginners, your LLM Basics.

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AI APIs Use Cases

Discover how AI APIs power solutions across sectors by streamlining processes, enhancing analytics, automating tasks, and improving user experiences in real-time applications.

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Basic Prompts

By structuring effective prompts, users can boost the capacity, understanding, enabling applications like content creation, question answering, code generation, and more.

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Advanced Prompting

Advanced prompting techniques like self-consistency and tree of thoughts unlock the full potential of the models. Dive into the state-of-the-art prompting with us.

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Model Guiding Techniques

Recent language models use advanced prompting techniques, including few-shot, zero-shot, and chain-of-thought prompting, to perform a variety of tasks.

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