All Articles
Turning my own artworks into 120 wallpaper variants in 30 days with Gemini 3.2 Pro and Imagen 4 — an artist-developer's content supply pipeline
A 30-day production log of building a pipeline that takes one of my own paintings and expands it into a 120-piece wallpaper series, using Gemini 3.2 Pro for structural analysis and Imagen 4 for variations. Includes real costs, quality gates, and downstream app KPIs.
Building a Paid Service with the Gemini Multimodal API: Image, Audio, and Video Processing
A complete implementation guide for paid services built on Gemini's multimodal capabilities — covering image analysis, audio transcription, video processing, PDF Q&A, Stripe Metered Billing integration, and production error handling.
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.
Production-Grade Gemma 4 + Ollama + Android Studio — Task Routing, Fine-Tuning, Team Deployment, and CI Integration
A deep-dive into running Gemma 4 locally for Android development at production scale. Covers model-routing proxies, LoRA fine-tuning for project-specific patterns, Docker Compose team setup, and GitHub Actions AI code review integration.
Gemma 4 × OpenCode Advanced Guide: Building a Production-Ready Local AI Dev Environment
Move beyond 'it works' with Gemma 4 and OpenCode. A deep guide to model selection, context management, prompt design, and hybrid cloud-local workflows for real-world development.
Building a B2B Business Automation SaaS with Gemini 2.5 Pro Function Calling — Revenue Blueprint
A complete guide to building and selling B2B business automation SaaS using Gemini 2.5 Pro Function Calling. Covers API architecture, multi-tenant design, pricing strategy, and the sales process that closed first contracts within 3 weeks of demo.
Gemini 2.5 Pro in Production: The Pitfalls Nobody Talks About
A practical guide to the production-specific problems with Gemini 2.5 Pro—rate limit architecture, Thinking mode cost control, long-context quality management, and response quality diagnostics—with complete code examples.
Gemini 3.1 Pro: An Indie Developer's Honest Review After 3 Months of Daily Use
A genuine assessment of Gemini 3.1 Pro from someone who uses it daily: what improved over 2.5 Pro, 15 tasks where it excels, 5 where it falls short, and how to split work with Claude Opus 4.6.
Putting Gemini 2.5 Flash Thinking Mode to Work: Reading the Cost-Accuracy-Speed Tradeoff
After three months of testing Gemini 2.5 Flash's Thinking Mode on real projects, here's what actually works: which tasks benefit, which tasks waste budget, and how to build a cost-aware switching layer.
Gemini 3 Deep Think Not Working as Expected: 5 Common Issues and Fixes
Troubleshoot Gemini 3 Deep Think mode issues systematically. From API misconfiguration and timeouts to unexpected costs and missing thought summaries — 5 real-world problems with working code fixes.
Gemini 3.x Prompt Engineering Complete Masterclass — System Instructions, Few-shot, CoT, ReAct & Self-Evaluation Loops with Working Code
A deep-dive masterclass on prompt engineering optimized for Gemini 3.x models. Learn System Instructions design, Few-shot selection strategies, CoT + Thinking Budget integration, ReAct patterns, and Critic-Refiner loops — all with production-ready Python code and before/after comparisons.
Gemini Gems Development Workflow: Design, Test, and Iterate to Build High-Quality Custom AI
Move beyond 'custom instructions that sort of work' with a structured Gemini Gems development workflow. Learn how to design, test, and systematically improve your Gems using a repeatable design-test-iterate cycle.