Selling Gemini Gems as Enterprise Prompt Products — Turning Custom Instructions into Monthly Contracts
A complete strategy for indie developers and small studios who want to package and sell Gemini Gems as enterprise prompt products. Covers design framework, pricing, contract models, support operations, and customer success case studies — written from real operating experience.
Three Weeks of Running Gemini 3 Pro and 2.5 Pro Side by Side on Wallpaper Category Classification — An Implementation Memo
Notes from running Gemini 3 Pro and 2.5 Pro in parallel for three weeks on the image classification pipeline of my iOS and Android wallpaper apps — cost, accuracy, and latency observations from an indie developer.
Running Gemini 3 Pro and Flash in Parallel on AdMob Monthly Reports — Notes from Ten Mornings
Implementation notes from sending the same AdMob monthly report to Gemini 3 Pro and Gemini 3 Flash in parallel for ten days. Cost, latency, and summary quality compared from an indie developer's perspective.
Designing Event-Driven AI Workflows with Gemini API and Cloud Pub/Sub — Notes from an Indie Developer
An implementation memo on wiring Gemini API into Cloud Pub/Sub event-driven workflows. Using an app-review analysis pipeline as the running example, the article covers retry policy, dead-lettering, idempotency, and cost guardrails — from the perspective of someone running it solo.
Surfacing AdMob Floor Price Candidates from Weekly Reports with Gemini 2.5 Pro — A Six-App Indie Operations Note
A practical pipeline for moving AdMob floor price tuning from gut feel to data, using Gemini 2.5 Pro to read weekly CSV exports. Notes from operating six wallpaper apps in parallel, with Function Calling to produce structured candidate values.
Three Places Gemini API Embedding Broke on Me — and What Actually Fixed Them
Notes from wiring Gemini API Embedding into an auto-categorization pipeline: INVALID_ARGUMENT from dimension mismatches, 429 rate limits that lost 400 items of work, and weak retrieval quality — plus normalization, checkpointing, and a recall@5 harness that made improvements measurable.
Gemini 3.2 Developer Monetization Blueprint — Building First-Mover Advantage with the New Model
With Gemini 3.2 reshaping the AI services market, here's how indie developers and small teams can raise client rates, design profitable own-products, and build first-mover positioning in a specific vertical — written from a working operator's perspective.
Read Video with Timestamps in the Gemini API: Pull Just the Scene You Need
Hunting for 'where was that step?' in a screen recording or app demo is a chore. Here is how to use Gemini API video understanding to pull just the right scene with timestamps, plus a design that keeps tokens down with FPS and resolution.
Catching Gemini Model Deprecations in CI Before They Bite
Build a small guard that scans your codebase for hardcoded Gemini model IDs, cross-checks shutdown deadlines, and turns CI red before a model quietly disappears.
Routing Gemini by Pipeline Stage: Draft on Flash, Finish on the Top Tier
A record of reworking which Gemini model handles which stage of an automation pipeline, prompted by the general availability of Gemini 3.5 Flash and the rollout of 3.1 Flash-Lite. Includes a small router that splits work into draft, classify, and finalize stages, how the cost picture changes, and the guardrails I settled on.
Keeping Gemini API's Default-Model Shift From Becoming an Incident — Pinning Model IDs and Detecting Silent Upgrades in Production
When the default model quietly moves up, your output length, reasoning behavior, and cost change with zero code edits. This guide shows how to pin model IDs in a single source of truth and verify the effective model from the response to detect default changes.
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.