Gemini 3.2 API Developer Guide — Correct Model IDs, Migration from 3.1, and Production Checklist
A practical guide to calling Gemini 3.2 via the API: correct model IDs, what changed from Gemini 3.1, Python and TypeScript code examples, and a production migration checklist.
Don't make Gemini judge your AdMob report — confine structured output to extraction
When deciding AdMob floors (eCPM thresholds), letting Gemini make the decision itself is dangerous. Confine structured output to 'extracting a messy report into typed data,' and keep the threshold judgment in deterministic code — here is the reasoning and implementation, with the actual decision rules from running 42 groups.
Gemini Live API Audio Sounds Sped Up — Fixing the Sample Rate Mismatch
When Gemini Live API responses sound high-pitched and sped up, or come back full of noise, the cause is almost always that the 24kHz output is being played at a different sample rate. Here are the concrete fixes for both the browser and iOS.
Reconciling Orphaned Gemini Files API Uploads Across a Fleet of Apps
Files API uploads quietly expire after 48 hours. Here's how I keep orphaned files and quota under control across six apps, using reconciliation against my own database and a scheduled cleanup job — written up as production notes from running wallpaper apps.
Recording Provenance for Gemini Output — Designing for Reproducibility and Audit
Before you lose track of which model and prompt produced an output months later: how to stamp provenance metadata onto Gemini generations so quality investigations and model migrations stay reproducible.
Stopping Gemini API Config Drift — Codifying Model IDs and Safety Settings to Catch Cross-Environment Gaps
Most of those puzzling per-app bugs come from drift in model IDs and safety settings between environments. This guide shows how to codify your Gemini config and snapshot the effective settings to detect cross-environment gaps.
Trimming Gemini Embeddings from 3072 to 768 Dimensions: A Matryoshka Approach to Cutting Vector DB Cost and Latency
gemini-embedding-001 returns 3072-dimensional vectors, but thanks to Matryoshka representation you can keep only the leading dimensions with almost no quality loss. This is a design for trimming to 768 to cut vector DB storage and latency, including the re-normalization pitfall and coarse-to-fine search code.
Bulk Processing Without the 429s: Adaptive Concurrency for the Gemini API
Pushing tens of thousands of requests through the Gemini API with a fixed concurrency almost always produces 429s and dropped items. Here is an AIMD design that auto-tunes concurrency from the 429 feedback, with a bounded worker pool, a dead-letter queue, and resumable checkpoints.
The Day You Switch Gemini Embedding Models: Designing a Zero-Downtime Reindex
Upgrade your embedding model and every vector you ever stored becomes incompatible. Here is a dual-index design for re-embedding hundreds of thousands of vectors without downtime, complete with a resumable reindex job and a query-side abstraction layer.
Preserving Gemini 3 Thought Signatures So Multi-Turn Function Calling Doesn't Degrade
When you build function calling on Gemini 3 thinking models, reasoning quality often drops from the second turn onward. The cause is usually a dropped thought signature. Here is how to keep it and verify the effect.
Letting Gemini Flash Decide continue / pause / rollback for Staged Rollouts: An Indie Developer's Three-Signal Engine
How I built a Gemini Flash decision engine that reads Firebase Crashlytics, App Store / Google Play reviews, and AdMob revenue together, and outputs continue / pause / rollback for each staged rollout across six indie apps. Numbers from two months of production use included.
Two Months of Letting Gemini Audit My Internal Links
An implementation note from running internal link integrity checks on my four Lab sites with Gemini 2.5 Flash for two months. What grep missed, how Flash compared to Pro on this task, and the surprises along the way.