Migrating Working Code from AI Studio to Vertex AI: A Solo Developer's Hands-On Walkthrough
What actually changes when you move existing Gemini API code from AI Studio to Vertex AI. Includes side-by-side code diffs for SDK init, auth, and response parsing.
Why 'contents must alternate between user and model' Won't Go Away in the Gemini API — and How to Fix It
A focused guide to the Gemini API's 'contents must alternate between user and model' error — what really triggers it, why role names from OpenAI break it, and how to fix Function Calling and system_instruction pitfalls with copy-pasteable code.
Speaker Diarization with Gemini API: Meetings and Podcasts
Use the Gemini API's multimodal audio understanding to label who said what in meeting recordings and podcasts — with a working Python example and prompt design tips.
Why Gemini Says It Cannot See Your Image — A Practical Diagnosis Guide
If Gemini API replies 'I don't see an image' despite an attached file, the cause is almost always client-side. This guide walks through the four checks — mime_type, payload size, SDK version, and model selection — with copy-pasteable fixes.
Precise Output Control in Gemini API: maxOutputTokens and stopSequences
Combine maxOutputTokens and stopSequences in the Gemini API to shape response length exactly the way you need. Stop responses from being cut off, going over budget, or breaking JSON parsing — with production-tested patterns.
Testing Gemini API with Vitest — Mock Patterns and Function Calling Verification for TypeScript Projects
Vitest patterns for TypeScript code that calls Gemini — SDK mocks, Function Calling and streaming tests, dropping to MSW, and a one-call nightly smoke test.
Fixing 'Thoughts must be present in conversation history' in Gemini API: Thought Signatures in Multi-Turn Tool Calls
If you're hitting 'Thoughts must be present in conversation history when using thinking signature' in Gemini 2.5/3.x with multi-turn function calling, this guide walks through what's actually happening and how to fix it in five minutes — Python SDK, REST, and streaming all covered.
Building a Production-Grade Gemini API Backend with NestJS — DI, Filters, and Guards
A practical pattern for wrapping the Gemini API in a NestJS backend. Covers DI-based service design, SSE streaming, exception filters, guards, multi-model Flash-to-Pro fallback, exponential-backoff retries, and measured latency/token metrics.
Gemini API: GEMINI_API_KEY vs GOOGLE_API_KEY — Which One Should You Actually Use?
A practical, SDK-by-SDK guide to the GEMINI_API_KEY vs GOOGLE_API_KEY confusion. Covers precedence rules, the Vertex AI auto-switch, and four real-world traps with diagnostic snippets you can paste into a running app.
Build a $500/Month Side Income with Google Workspace × Gemini Automation — 3 Ready-to-Sell Templates
Turn Google Workspace automation into a recurring side income by selling Gemini-powered services to small businesses. Includes 3 deployable templates and a pricing blueprint.
Leveraging Gemini API's Cost Advantage for SaaS — How to Undercut Competitors by 50% and Still Profit
A deep analysis of Gemini API's cost structure with practical strategies to build a SaaS that's 50% cheaper than competitors while maintaining healthy margins. Includes P&L simulation and production code.
Building Stateful AI Agents with Gemini API and Cloudflare Durable Objects — A
A complete production guide to building a stateful AI agent that remembers conversation history, using Cloudflare Durable Objects, WebSocket Hibernation, and the Gemini API streaming endpoint.