All Articles
Build an AI Document Summarizer with Gemini API and Python Flask — Hands-On Tutorial
Learn how to build a web app that automatically summarizes text and PDF documents using the Gemini API and Python Flask. From prompt design to deployment.
Building a Multimodal Document Analysis System with Gemini API — Processing Images, PDFs, and Videos in a Unified Architecture
Learn how to build a multimodal document analysis system using Gemini API. This guide covers file upload, structured data extraction, and batch processing pipelines for images, PDFs, and videos.
Automate Document Summarization and Meeting Notes with Gemini API
Learn how to build an automated document summarization and meeting notes system using the Gemini API and Python. Covers text, PDF, and audio file processing with practical code examples.
Lyria 3 Pro API Complete Implementation Guide — Generate Professional Full-Length Tracks from Text and Images
Learn how to generate full-length music tracks using Google DeepMind's Lyria 3 Pro. Covers Clip/Pro/RealTime model differences, Interactions API, prompt engineering, and monetization strategies.
Gemini 3.1 Flash High-Speed Inference API: Implementation Techniques for Streaming, Function Calling & Batch Processing
Master the technical architecture of Gemini 3.1 Flash and understand how fast inference works. Learn optimal implementation patterns for streaming, function calling, and batch processing with code examples. Make data-driven model selection decisions by comparing Flash with Pro models.
How to Analyze and Summarize PDFs with Gemini API — A Practical Python Guide
Learn how to extract text, summarize, and run Q&A on PDF files using the Gemini API in Python. A step-by-step guide covering File API uploads, multimodal processing, and structured data extraction.
Gemini File Search API — Build AI Responses Grounded in Your Own Data Without RAG
Learn how to use Gemini File Search API to build AI responses grounded in your own documents without vector databases or RAG pipelines, with production-ready implementation patterns.
Building with the Gemini API in Go — Text Generation, Image Analysis, Streaming, and Production Design
Implement the Gemini API in Go with the official Google Gen AI SDK — text generation, image analysis, and streaming, plus the production concerns quickstarts skip: goroutine throttling, timeout design, and model selection, all with complete code.
Gemini API Multimodal Techniques in Practice — Mastering Image, Video, Audio, and PDF Processing
Advanced implementation guide for integrating all 4 modalities (image, video, audio, PDF) with Gemini API. Learn streaming pipelines and Function Calling integration for production-ready multimodal AI systems.
Five Errors That Break Gemini Image Generation — From 429s to Safety Filters
Causes and implementation-level fixes for the Gemini API image generation errors you are most likely to hit: 429 quota exhaustion, safety filter blocks, and corrupted output.
Gemini API Production Security Guide — API Key Management, Prompt Injection Defense, and Audit Logging
Securing the Gemini API in production: API key rotation, input/output sanitization, prompt injection defense, audit logging, and rate limiting, with production-ready code.
Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking
An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.