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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.
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.
Stop Gemini From Phoning In the Last Few Paragraphs — Prompt Patterns That Hold Density to the End
When Gemini writes long pieces, the final paragraphs often go thin. A solo creator's three-layer routine — pre-declared footer, staged generation, verifier agent — to keep density consistent from start to finish.
Teaching Gemini Your Own Writing Voice: Prompt Design for Solo Creators, and How to Avoid Overfit
Letting AI write for me always produced text that sounded like 'someone else.' Here's how I taught Gemini to keep my voice across articles, plus how I avoid the surprising overfit problem when you feed it too many samples.
Building Local Agents with Gemma 4's Function Calling
Learn how to implement private, on-premises AI agents using Gemma 4's dedicated Function Calling tokens without relying on cloud APIs.