Apple Vision Framework × Gemini API: Hybrid Image Recognition — Cutting Wallpaper App Cloud Inference Costs by 70%
How I built an on-device prefilter with Apple Vision Framework to cut Gemini Vision API calls by more than half in my iOS wallpaper app. Real cost, accuracy, and latency numbers, with the gotchas an indie developer hits along the way.
Running NotebookLM and Gemini Deep Research in Parallel for a Firebase SPM Migration: Two Weeks of Notes
Notes from two weeks of running NotebookLM and Gemini Deep Research side by side, while researching the CocoaPods-to-SPM migration of an iOS wallpaper app portfolio with 50M+ cumulative downloads.
A Gemini API Control Plane for Indie Developers Running an App Portfolio
When you run several apps (wallpaper, healing, manifestation) on Gemini API, keys scatter and per-app cost attribution disappears. This is the three-layer control-plane architecture I have used for twelve months, with the traps that only show up over time.
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.
Designing an Image Pipeline with Gemini Files API and Cloudflare R2 — Notes from Running a Wallpaper App
Notes from rebuilding the image processing pipeline of a wallpaper app around Gemini Files API and Cloudflare R2. Covers the 48-hour TTL, idempotent retries, and cost monitoring, with implementation code and 30 days of numbers.
One Month of Letting Gemini 2.5 Pro Help With Apple Privacy Manifests — Indie Developer Notes
Notes from one month of using Gemini 2.5 Pro to help maintain PrivacyInfo.xcprivacy across an indie iOS app catalog. What worked, what didn't, and the workflow I settled on.
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.
What Happens When You Show Your Own Artwork to Gemini Vision — An Honest Review from a Maker and a Developer
I fed my own art images into Gemini Vision to test what it reads and what it misses. An honest, indie-developer look at where it's genuinely useful for running a wallpaper app, and where it still falls short.
Gemini API Developer Update for May 2026 — What Changed and What You Should Do
A developer-focused roundup of Gemini API changes in May 2026. Covers Gemini 3.2 impressions, the June Gemini 2.0 Flash deprecation deadline, and what to prepare before Google I/O 2026.
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.
Google AI Pro vs Ultra: Which Should an Indie Developer Pick? 3 Months of Side-by-Side Use
After running Google AI Pro and Ultra side by side for three months as an indie developer, here's a clear decision framework that the price tables don't show — focused on Veo limits, Deep Think frequency, Mariner workflows, and operational stability.