Architecting a Multi-Tenant SaaS on Gemini API — Tenant Isolation, Usage Metering, and Runaway Cost Defense in Production
A field-tested blueprint for serving Gemini API to multiple tenants on a single backend — covering tenant isolation choices, per-tenant rate limiting in Redis, request-level usage metering for billing, and runaway-cost defenses.
gemini-2.5-pro-latest— Model Aliases, Parameters, and Production Patterns
A deep practical guide to calling the Gemini API with the `gemini-2.5-pro-latest` alias. Covers model pinning, parameter tuning, timeouts, streaming, structured output, and a production-grade checklist.
Gemini API Micro-SaaS Monetization — Pricing, Margins, Billing, and Retention
A practical, implementation-level map for turning a Gemini-API-powered micro-SaaS into a real, profitable business — pricing, unit economics, billing stack, and retention engineering.
Parallel Function Calling in Gemini API: Production Patterns, Pitfalls, and Monitoring
A production guide to Parallel Function Calling in the Gemini API: DAG tool design, partial failure handling, rate limits, and monitoring — with working code.
Preventing Gemini API Cost Spikes in Solo Products — Guardrails That Save You from Month-End Shocks
Nearly every solo developer using the Gemini API eventually has the 'why is my bill 10x what I expected' month. Here are the production-grade guardrails I always install in my own wallpaper app and client projects to stop cost runaways before they start.
Quietly Catching Wrong Answers in Your Gemini-Powered App — A Production Auto-Eval Loop
Running Gemini in production eventually shows you responses that are 'kind of wrong.' I want to catch them before users do. This is the exact auto-eval loop I run over live traffic, with the prompts I use and the mistakes I had to learn my way through.
Async AI Job Queues with Gemini API and Cloud Tasks — Production Patterns for Timeouts, Retries, and Rate Limits
Migrate synchronous Cloud Run + Gemini calls to a Cloud Tasks async job queue. Covers retries, DLQ, idempotent workers, and cost modeling with working code.
Controlling Gemini 2.5 Pro's Thinking — Thinking Budget and Reasoning-Aware Prompt Design
A deep dive into Gemini 2.5 Pro's Thinking feature and internal reasoning process. Covers Thinking Budget configuration, optimal values by task type, extracting thinking_parts for quality verification, and prompt design patterns that maximize reasoning quality.
Wallpaper Classification on the Gemini API — Migrating Off the Legacy SDK, and Tuning Resolution, Confidence, and Cost
Implementation notes from automating wallpaper classification with the Gemini API: migrating to @google/genai, resizing to a 1024px long edge, receiving results via responseSchema, confidence thresholds, retrying only on 429/5xx, and tracking real cost with usageMetadata.
Gemma 4 API Advanced Integration Guide: Hybrid Development with Gemini API
Advanced patterns for using Gemma 4 API alongside Gemini API. Covers Vertex AI deployment, fine-tuning, RAG pipelines, and cost optimization strategies.
Google Workspace × Gemini API Automation: Production Notes on 12 Apps Script Patterns
12 Gemini API + Apps Script patterns for Gmail, Docs, Sheets, and Calendar automation—plus the production snags I hit running this across four sites and an app support inbox: swallowed 429s, JSON code fences, the 6-minute cap, and flash-vs-pro routing, with measured numbers.
Getting Started with gemini-2.5-pro-latest: Google AI Studio & API Quick Start Guide
Learn how to build with gemini-2.5-pro-latest from scratch. This guide covers API key setup, Python integration, streaming, multi-turn chat, system instructions, and production-ready error handling.