Testing Gemini Vision for Wallpaper Auto-Classification — Real Accuracy Numbers and Pitfalls
A hands-on record of automating wallpaper image classification with Gemini Vision — moving from 67% to 87% accuracy, and using a confidence threshold to cut human review down to 15% of the batch.
Automating Firebase Crashlytics Analysis with Gemini API — A Real-World Implementation from an Indie App
A real-world implementation record of automating Firebase Crashlytics log analysis with Gemini API, validated during development of an indie wallpaper app (v2.1.0). Includes Before/After code for a RecyclerView crash fix and a production cost breakdown.
Making Gemini API 12x Faster with asyncio: Lessons from Multilingual App Store Generation
How parallelizing Gemini API calls with asyncio cut multilingual App Store description generation from 13 minutes to 65 seconds — including Semaphore-based rate limit handling and what changed when moving from google-generativeai to google-genai.
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.
Controlling thinking_budget in Gemini 2.5 Pro — Cut Costs by 70% Without Sacrificing Reasoning Quality
Leaving thinking_budget unset in Gemini 2.5 Pro leads to unexpected costs. This guide covers task-level budget design, dynamic control, and production monitoring with working Python code.
Why I Always Resize Images With Pillow Before Sending Them to the Gemini API
A practical look at why preprocessing images with Pillow before they reach the Gemini API quietly cuts both latency and token usage. Numbers from a real personal project, plus the helper function I now reuse everywhere.
Gemini 2.5 Pro + Imagen 4 Content Automation Pipeline: Complete Build Guide
Build a production-ready pipeline combining Gemini 2.5 Pro and Imagen 4 API to auto-generate blog articles, SNS posts, and thumbnails. Covers async processing, quality filters, and monetization design.
Build a CSV Insight App with Gemini API and Streamlit — A Production-Ready Dashboard with Auto-Insights and Visualization
A production-grade implementation guide for a Streamlit + Gemini API data analysis app. Upload a CSV, get auto-insights and visualizations in seconds. Covers schema inference, structured output, and real-world rate-limit handling.
A Personal Secretary AI on Gemini API and Google Workspace — Auth, Orchestration, and Approval Gates
Designing a personal secretary AI across Gmail and Google Calendar with the Gemini API: OAuth2 scope design, Function Calling orchestration, approval gates for write tools, and ninety days of measured production cost, with full Python code.
Google ADK Quickstart — Build Your First AI Agent in 30 Minutes
A hands-on Google Agent Development Kit (ADK) walkthrough for absolute beginners — from install to a working agent in 30 minutes, with the gotchas called out as you hit them.
Self-Healing Architecture for Gemini Computer Use — Production Patterns That Keep Browser Automation Alive Beyond Day Three
Gemini Computer Use looks magical in demos but breaks daily in production: vanishing elements, surprise modals, network jitter, off-by-four-pixel clicks. This guide builds a five-layer self-healing architecture in Python that classifies failures and recovers them automatically, with working code you can drop into your agent loop today.
Measuring Classification Confidence with Gemini API Logprobs — A Practical Walkthrough
Use the Gemini API responseLogprobs option to extract per-token confidence scores, then turn them into an auto-vs-review gate for classification — with working Python code and the threshold thinking behind it.