Stop a Batch Before It Overspends — A Budget Gate Built on countTokens That Survives a Default-Model Swap
Nightly batches overspend because you only learn the cost after billing. Starting from countTokens, this guide builds a budget gate that folds in thinking tokens and keeps your estimate intact even when the default model changes underneath you.
When Revenue and Cost Don't Line Up in a Gemini-Powered Niche SaaS — Field Notes on Metering Usage and Reconciling with Stripe
In a niche SaaS built on the Gemini API, monthly revenue is visible but per-user usage cost is not, so your margin stays a mystery until month-end. These notes cover a metering layer that converts tokens to money in real time, monthly reconciliation against Stripe, early detection of unprofitable users, and idempotent webhooks.
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.
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.
Estimating Gemini API Costs Before You Send — count_tokens in Practice
Use Gemini's free count_tokens call to measure input tokens and costs before each request, then cut spend with caching and model selection.