When My Paid Gemini Chat Bill Came in at Double the Estimate — Field Notes on Per-Request Token Accounting to Plug the Cost Leaks
From a real overrun where my paid Gemini chat SaaS bill nearly doubled the estimate, here is how I logged token usage per request, traced where cost was leaking, and plugged three specific gaps. Recording usage_metadata and reconciling it against the invoice is the starting point.
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.
Two Months With Gemini 2.5 Pro's 1M Context: What It's Actually Good (and Bad) At
An honest two-month review of using Gemini 2.5 Pro's 1M-token long context window on real work — organizing 12 years of indie-developer notes, cross-checking large MDX archives, and learning where short prompts still beat long ones.
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.
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.
Migrating from Gemini 2.5 Pro to 3.2 Pro in 7 Days — A Production Playbook for Compatibility Testing, Output Diff Scoring, and Rollback Design
A 7-day playbook for moving production systems from Gemini 2.5 Pro to 3.2 Pro: compatibility testing, LLM-as-Judge scoring, shadow traffic, and rollback.
Vertex AI Agent Engine × Gemini 2.5 Pro — Production Deployment for Managed Agents
Deploy ADK-based agents powered by Gemini 2.5 Pro on Vertex AI Agent Engine. Covers the trade-offs vs Cloud Run, sessions, tool calls, tracing, and a realistic cost model.
Putting Gemini 2.5 Pro's Million-Token Window to Real Use — A Design Playbook
Gemini 2.5 Pro's million-token window isn't a 'dump everything in' tool. After running it across full-codebase analysis, deep document review, and long-running conversations, here's the design playbook that actually pays off.
Production-Ready Function Calling with Gemini 2.5 Pro API — Realistic Patterns for Failures, Timeouts, and Hallucinations
Gemini 2.5 Pro's Function Calling is powerful, but it tends to land in 'works, but does odd things sometimes' territory in production. Here are the design patterns I arrived at running search, reservation, and notification agents.
Monetizing a Solo SaaS on Gemini 2.5 Pro: Pricing, Billing, and Usage-Control Roadmap
A hands-on roadmap for turning a Gemini 2.5 Pro-powered solo SaaS into a monthly revenue business, covering pricing design, Stripe integration, and token usage management.
Controlling Gemini 2.5 Pro's Thinking — Thinking Budget and Reasoning-Aware Prompt Design
A deep dive into Gemini 2.5 Pro's Thinking feature and internal reasoning process. Covers Thinking Budget configuration, optimal values by task type, extracting thinking_parts for quality verification, and prompt design patterns that maximize reasoning quality.
Gemini 2.5 Pro Latest API: The Complete Developer Guide for Advanced Usage
Everything developers need to master the gemini-2.5-pro-latest API — from model selection and streaming to Function Calling, multimodal inputs, and cost optimization.