All Articles
Before Free Users Quietly Eat Your Margin: Tier Design and Cost Ceilings for Gemini API Apps
Protecting the margin on a Gemini-powered app means designing around a per-user monthly cost ceiling, not request counts. Tier-aware model routing, real-cost metering in KV, and the token-bloat traps that drain profit, with working code.
Putting Gemini image generation to work: from prompt design to thumbnails generated from video
A practical playbook for running Gemini image generation as a repeatable workflow instead of a lucky dip. From decomposing prompts into reproducible parts to the video-to-image automation unlocked by the Nano Banana 2 GA, with working code, a pre-publish quality gate, and a design that survives preview shutdowns.
Gemini API on Google Cloud: Diagnosing Production Errors Layer by Layer
Systematically diagnose Gemini API errors in Google Cloud production environments. Covers IAM permissions, Vertex AI vs AI Studio, VPC Service Controls, quota management, service accounts, and multi-region failover with full code examples.
Structured Product Image Analysis with the Gemini API — A Production Pipeline Built on Thousands of Photos
Turn a one-off image analysis script into a production pipeline that auto-generates tags, descriptions, and categories at scale — covering structured output, resumable batches, measured cost, and model routing learned from real indie-developer operation.
Compressing Gemini API Chat History with Rolling Summaries — Designing Chatbots That Survive Hundreds of Turns
When a Gemini chatbot grows long enough, your bills balloon and one day a request hits the token ceiling. The rolling-summary pattern keeps long chats stable.
Should You Move Your Agent Loop to Gemini's Managed Agents? Three Questions That Decide What Migrates
With Gemini API's Managed Agents in public preview, deciding between a self-hosted agent loop and a Google-hosted sandbox is now a real question. Three questions — execution environment, state ownership, and failure recovery — decide what migrates and what stays.
How to Handle Gemini API Model Deprecation and Migration Errors
A practical guide to migrating from deprecated Gemini API models and resolving common migration errors.
Finding Every Reference to the Image Preview Models Before They Stop on June 25
gemini-3.1-flash-image-preview and gemini-3-pro-image-preview stop on June 25. Here is a dependency audit for surfacing references buried in rarely-run branches and batches before the cutoff.
Gemini API Implicit Caching Not Working — Troubleshooting Guide by Root Cause
Troubleshoot Gemini API implicit caching issues: cache not hitting, unexpectedly high costs, or low cache hit rates. Covers token thresholds, prompt structure, model version consistency, TTL expiry, and multimodal caching with code examples.
When Gemini's Maps Grounding Quietly Fails in Production — Field Notes on Attribution, Billing Boundaries, and Fallbacks
An operations-focused look at the pitfalls that surface after you ship Grounding with Google Maps on Gemini: detecting silent grounding misses, meeting the attribution requirement, knowing which responses are billed, and building fallbacks for latency and staleness.
Classifying 8,000 App Reviews Overnight with Gemini Batch API — and Moving Polling to Webhooks
Implementation notes on clearing ~8,000 backlogged app reviews from six iOS/Android apps with the Gemini Batch API in a single night — now extended with the June 2026 event-driven Webhooks that replace the morning polling step. Real cost and runtime numbers, composite-key design, hung-job triage, and deprecation discipline, with working code.
Track Gemini API Costs in Production with usageMetadata — A Per-Request Logging Pattern That Reconciles With Your Bill
A production pattern for capturing Gemini API's usageMetadata per request to attribute spend by endpoint, user, and model — hardened for the 3.5 Flash GA era where the default model can shift under you. Covers pricing keyed on resp.model_version and a nightly audit that flags model drift and unknown models before the invoice does.