All Articles
Selling Gemini Gems as Enterprise Prompt Products — Turning Custom Instructions into Monthly Contracts
A complete strategy for indie developers and small studios who want to package and sell Gemini Gems as enterprise prompt products. Covers design framework, pricing, contract models, support operations, and customer success case studies — written from real operating experience.
Putting Gemini image generation to work: from prompt design to thumbnails generated from video
A practical playbook for running Gemini image generation as a repeatable workflow instead of a lucky dip. From decomposing prompts into reproducible parts to the video-to-image automation unlocked by the Nano Banana 2 GA, with working code, a pre-publish quality gate, and a design that survives preview shutdowns.
Deep Think, Deep Research, Live, or Omni? How I Reassigned a Week of Work Across Gemini's Growing Set of Modes
Gemini now spans thinking, researching, talking, and creating. Three practical questions that decide which mode gets which task, based on a week of reassigning my indie-dev workflow.
Fixing NotebookLM Audio Overview When It Generates in the Wrong Language or Stalls Mid-Way
Five concrete causes and fixes for when NotebookLM's Audio Overview ignores your source language, freezes on the progress bar, or cuts off mid-playback — written from hands-on use during app review analysis.
Putting Gemini on Your Desktop and Phone as a PWA — How It Compares to a Browser Tab in Daily Use
How to install gemini.google.com as a Progressive Web App on macOS, Windows, iPhone, and Android — and what I actually measured after a week of comparing PWA usage to keeping it as a Chrome tab.
Gemini 3.2 vs Claude Sonnet 4.6 vs GPT-4o — An Honest Comparison for Indie Developers (May 2026)
A practical comparison of Gemini 3.2, Claude Sonnet 4.6, and GPT-4o from an indie developer's perspective — covering code generation, writing quality, API costs, latency, and honest weaknesses.
Gemma 4 × OpenCode: Build a Free Local AI Coding Environment in 10 Minutes
Combine Google's open Gemma 4 model with the OpenCode terminal agent and you get a fully local, zero-cost AI coding environment ready in 10 minutes. Here's the setup and an honest take on the experience.
"Gemini Feels Worse Than Before" — How to Actually Diagnose the Problem
If Gemini's responses seem to have declined in quality, the cause is usually fixable — and often isn't Gemini's fault. A practical, experience-based guide to diagnosing and resolving perceived quality drops.
Mastering Gemini Gems: Custom Instructions Playbook With 25 Production Recipes
Gemini Gems coverage tends to stop at the surface — how to create one. This playbook goes further: the prompt-engineering principles behind effective Gems, plus 25 copy-paste-ready Gem recipes for developers, content creators, and indie founders.
Gemini 3.1 Pro vs 2.5 Pro: What Actually Changed and Which to Use
A practical comparison of Gemini 3.1 Pro and 2.5 Pro across coding, long-context reasoning, multimodal tasks, and Computer Use — with guidance on when to upgrade and when to stay put.
Gemini 3.2 in Production: A Playbook for Model Selection, Cost Optimization, and Implementation Patterns
Gemini 3.2 has plenty of feature coverage, but very little material on actually deploying it to production. This playbook covers model selection (Pro/Flash/Nano), API patterns, cost optimization, competitive comparisons, and operations — from day-to-day production use.
Gemini 3.2 Developer Monetization Blueprint — Building First-Mover Advantage with the New Model
With Gemini 3.2 reshaping the AI services market, here's how indie developers and small teams can raise client rates, design profitable own-products, and build first-mover positioning in a specific vertical — written from a working operator's perspective.