Gemini Basics
A starting point for anyone new to Google Gemini — account setup, basic prompting, the mobile app, plan choices, and everyday use cases.
When Gemini's Activity Setting Won't Change on a Work Account: Three Screens to Check First
If the Gemini app's Activity setting doesn't behave on a work or school account, check three places in order: your own screen, the admin console, and Vault. Includes a short message to send your admin and a line to draw before pasting customer details.
Free Tier Shows Up, but You Get a 429 With `limit: 0` — What to Check in the First Hour of a New Gemini API Project
A new Gemini API project says Free tier, yet the very first call returns 429 with limit: 0. Here is the order I check things in, how to read the error body, and a 40-line script that tests models one by one.
Before You Send a Gemini Draft, Run Double-Check and Fix Only the Orange Sentences
A short routine for using the Gemini app's double-check feature right before you send an email or reply: what green, orange, and unhighlighted sentences mean, the order I use to fix orange ones, and when even green deserves a second look.
Three Lines Decide Who Gets Images in the Gemini App: 13, 18, and Your Administrator
When the image entry point is missing from the Gemini app, a bug is rarely the reason. Here is how the two separate age thresholds and the work or school account rules line up, and who you should actually contact.
Before You Split That PDF: Three Different Limits in the Gemini App
When the Gemini app refuses your PDF, file size is rarely the real problem. Here is how I tell storage, rate limits, and reading capacity apart, and what I trim before I ever reach for a splitter.
I edited the Drive doc, asked Gemini again, and it quoted the old sentence back
When Gemini answers from an outdated version of a Drive file, the file usually isn't the problem — the conversation is. Here's how sources stay attached for the whole conversation, why you can't remove one mid-thread, and what to do about partial reads.
Two dictations on one Fn key — where I let Gemini type, and where I don't
On a Mac, the Fn key now hosts two different dictations: hold it and Gemini drops polished text at your cursor, tap it twice and macOS transcribes you as-is. Here is the boundary I drew before letting either one into my day, and the order I check when nothing happens.
Deleting the Chat Wasn't Enough. There Was a Second Place the Memory Was Coming From
How Gemini's memory of past chats actually works, why deleting a conversation often isn't enough, and how the fact that Gems and Gemini Live ignore that memory can be turned into a simple way to keep separate projects from bleeding into each other.
What decides whether your Gemini API data trains Google's models, and the one exception on the paid tier
Whether your Gemini API prompts feed model training is not settled by the paid tier alone. Here is how AI Studio and the API define paid differently, how dataset sharing reverses the protection, and what changes by region.
The Strongest Gemini Is in Preview and the Cheap One Is GA. That Ordering Should Drive Your Model Choice
Sort the Gemini lineup by release stage instead of capability and the order inverts: the strongest reasoning model sits in preview while the fast, inexpensive Flash models are GA. Here is how a solo developer handles that, plus a 30-line script that counts how many preview models your code already depends on.
"No Watermark Detected" Doesn't Mean It Isn't AI — The Asymmetry of SynthID
Images generated with Gemini carry a SynthID watermark. But a positive result and a negative result don't carry the same weight, and that asymmetry changes how you should track provenance.
Gemini Prompt Engineering Guide — System Instructions, Few-shot & Chain-of-Thought
Get stable output from Gemini through prompt design, using three techniques: System Instructions, Few-shot, and Chain-of-Thought. Includes a real pitfall I hit while auto-classifying images for a wallpaper app.
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.
Why Gemini Deep Research Stops Mid-Way and How to Fix It
A practical guide to diagnosing and fixing Gemini Deep Research stopping before it finishes — covering query structure, language settings, browser tips, and retry strategies.
When to Rewrite a Gemini Gems Custom Instruction — Symptoms of Decay and a Safe Migration Path
Gemini Gems custom instructions degrade over time. Here are the symptoms that mean it's time to rewrite, the underlying causes, and a four-step migration path that keeps quality stable during the swap.
Gemini 3.2 in Real Workflows — Where It Shines and Where It Struggles
After running Gemini 3.2 across real workflows for several weeks, here's an honest breakdown of where it pulls ahead of 3.1 — and where it doesn't. Practical signal you can't get from a feature sheet.
Gemini Gems Custom Instructions 2026 — From Design Philosophy to 10 Ready-to-Use Templates
A thorough guide to designing custom instructions for Google Gemini Gems — covering design principles, character limits, 10 production-ready templates, and operational pitfalls.
What to Do When Gemini Shows 'This Model Is Overloaded Right Now'
Seeing the 'This model is overloaded' message in Gemini? Learn why it happens, what you can do right now, and how to handle it gracefully in API applications with retry logic.
Google AI Pro vs Ultra: Which Should an Indie Developer Pick? 3 Months of Side-by-Side Use
After running Google AI Pro and Ultra side by side for three months as an indie developer, here's a clear decision framework that the price tables don't show — focused on Veo limits, Deep Think frequency, Mariner workflows, and operational stability.
When Gemini Deep Research Returns Shallow Reports or Gets Stuck — A Practical Troubleshooting Guide
Why Gemini Deep Research sometimes produces thin reports or fails midway, and how to fix it through plan editing, source distribution, and PDF citation tuning.
Mastering Custom Instructions in Gemini Gems — What Actually Works After Two Months of Testing
Custom instructions in Gemini Gems can swing response quality wildly. After running half a dozen Gems for two months, here's what actually moves the needle — and what wastes characters.
9 Patterns for Automating Daily Work with Gemini Gems — Turning Custom Instructions Into Real Tools
Built a few Gems but only end up using one or two? You're not alone. Here are nine patterns that share what actually-used Gems have in common, with the custom-instruction shape for each.
Six Months with Gemini Deep Research: An Honest Review of What Actually Works
An honest, personal review of Gemini Deep Research after six months of daily use. What it does well, where it falls short, and how to get the most out of it.
Gemini vs Claude: An Honest Developer's Review After Using Both Daily (2026)
Not which AI is better — but how they differ in practice. A comparison from someone who uses both Gemini and Claude daily for indie development work, with a task-by-task decision table and a real example of moving one job across both.
Gemini 2.0 Flash in Practice: 10 Use Cases Where It Actually Shines
10 practical Gemini 2.0 Flash use cases with real code. Speed, cost, and accuracy aligned—find out where Flash outperforms 2.5 Pro and where it doesn't.
Mastering Gemini Memory — Import, Manage, and Fine-Tune Your AI's Context
Learn how to use Gemini's memory (Saved Info) and the new memory import feature. Transfer context from ChatGPT or Claude, manage privacy with Temporary Chats, and personalize your AI experience.
Mastering Gemini Gems Custom Instructions | Advanced Strategies, Templates & Real-World Examples
Advanced guide to Gemini Gems custom instructions. Learn effective instruction writing patterns, multi-role workflows, production templates, and troubleshooting strategies.
Gemini Thinking Mode Is Slow or Not Responding: How to Fix It
Gemini 2.5 Pro or Flash Thinking mode too slow, freezing, or timing out? Learn the most common causes and practical fixes—including timeout configuration, streaming setup, and thinking_budget tuning.
Gemini for Content Creators: SEO, Social Media, and YouTube
A practical guide for content creators on using Gemini — from SEO keyword research and article outlines to social media post generation, YouTube scripts, and thumbnail copy. Includes ready-to-use prompts throughout.