Advanced
Advanced Gemini techniques — agent design, multimodal processing, RAG pipelines, production architecture, and cost-aware engineering.
When Gemini's Maps Grounding Quietly Fails in Production — Field Notes on Attribution, Billing Boundaries, and Fallbacks
An operations-focused look at the pitfalls that surface after you ship Grounding with Google Maps on Gemini: detecting silent grounding misses, meeting the attribution requirement, knowing which responses are billed, and building fallbacks for latency and staleness.
Restarting a Long Agent Run From Where It Broke — A Step-Ledger Design for Gemini 3.5 Flash Long-Horizon Tasks
Gemini 3.5 Flash is good at long-horizon tasks, but when a 40-step run dies on step 29, you usually start over. An append-only step ledger gives you resume, idempotency, and audit in one place. Here is the design with working Python and measured results.
Harden the Layer Before Gemini Sees User Media — A Validation Pipeline You Can Actually Run
Piping user-uploaded images and video straight into Gemini walks you into MIME spoofing, EXIF leaks, decompression bombs, and video that isn't ready yet. Here's the validation layer—magic-byte sniffing, Files API state polling, and cleanup—built up in working code.
Trusting Gemini Structured Output in Production — Schema Design, Double Validation, and Bounded Retries
Gemini's structured output guarantees parseable JSON, not correct values. Notes on schema design with @google/genai, why propertyOrdering matters, a Zod double-validation layer, handling MAX_TOKENS truncation, and a bounded-retry extraction pipeline.
Switching Image Models Quietly Degrades Quality — A Gate That Catches It Without Manual Review
When you move image generation from preview to GA models, the API keeps returning 200 and quality slips silently. This is the three-layer gate I built to detect that drift without staring at every image: deterministic property checks, multimodal embedding similarity, and a Gemini judge, wired together in Python with thresholds and a cutover procedure.
Gemini's GA Image Models Won't Output Exact Device Resolutions — A Wallpaper Pipeline That Fixes Aspect Ratio and Safe Areas
After switching to the GA image models, your wallpapers no longer fit the screen. Here's how to crop one master image into every device resolution and cut your generation count to a fraction, with full Pillow code.
A Minimal Autonomous Agent with Gemini — Tool-Loop Design Lessons
Building an autonomous agent from a minimal setup with the google-genai SDK's automatic function calling — plus the step limits, tool allowlists, and retry decisions learned from automating real blog operations.
Pre-Screening Wallpaper App Submissions with Gemini Vision: A Two-Week Field Memo
Before submitting a new batch of wallpapers, I spent two weeks running Gemini's image understanding as a first-pass filter for store review risk. What it caught, what it missed, and where a human still has to decide.
Trimming Gemini Embeddings from 3072 to 768 Dimensions: A Matryoshka Approach to Cutting Vector DB Cost and Latency
gemini-embedding-001 returns 3072-dimensional vectors, but thanks to Matryoshka representation you can keep only the leading dimensions with almost no quality loss. This is a design for trimming to 768 to cut vector DB storage and latency, including the re-normalization pitfall and coarse-to-fine search code.
The Day You Switch Gemini Embedding Models: Designing a Zero-Downtime Reindex
Upgrade your embedding model and every vector you ever stored becomes incompatible. Here is a dual-index design for re-embedding hundreds of thousands of vectors without downtime, complete with a resumable reindex job and a query-side abstraction layer.
Three Weeks Rewriting 40 App Store Descriptions in Gemini Advanced Canvas
Notes from three weeks of rewriting 40 App Store descriptions in Gemini Advanced Canvas. What I let the AI handle, what I always touched by hand, and the small ASO effects I observed across my wallpaper and well-being apps.
Cursor's New Model on Coding Agent Index, and Why I Still Pick Gemini as My Center of Gravity
A third-party evaluator, Coding Agent Index, recently rated a new Cursor-developed model as 'frontier-class performance at one-tenth the cost.' I walk through how a solo developer who keeps Gemini at the center of their stack should read that ranking, and where to add the new model without churning the rest of the workflow.
Three Weeks of Running Gemini 3 Pro and 2.5 Pro Side by Side on Wallpaper Category Classification — An Implementation Memo
Notes from running Gemini 3 Pro and 2.5 Pro in parallel for three weeks on the image classification pipeline of my iOS and Android wallpaper apps — cost, accuracy, and latency observations from an indie developer.
SwiftData × Gemini API Offline Response Cache — Persisting and Reusing AI Responses on iOS
Design a SwiftData-backed cache layer for Gemini API responses so your iOS app keeps working in airplane mode and on flaky networks. Covers @Model schema, invalidation strategy, store-size discipline, and migration — all from production iOS experience.
Why Gemini Deep Research Gets Stuck for an Hour — Five Causes and the Workaround for Each
Sometimes Gemini Deep Research sits at 'researching…' for 30 minutes, then an hour, then dies silently. After six months of running market and competitive research across six sites as an indie developer at Dolice, I separated this single symptom into five distinct causes — only one of them actually heals with a retry.
Running Gemini Computer Use and Claude in Chrome Side by Side on the AdMob Console for a Week
A side-by-side journal of running Gemini Computer Use and Claude in Chrome on the AdMob console for a week, against three real tasks I face running wallpaper apps with 50M cumulative downloads: ad unit setup, mediation priority export, and eCPM anomaly detection.
Two Months With Gemini 2.5 Pro's 1M Context: What It's Actually Good (and Bad) At
An honest two-month review of using Gemini 2.5 Pro's 1M-token long context window on real work — organizing 12 years of indie-developer notes, cross-checking large MDX archives, and learning where short prompts still beat long ones.
One Month of Letting Gemini 2.5 Pro Help With Apple Privacy Manifests — Indie Developer Notes
Notes from one month of using Gemini 2.5 Pro to help maintain PrivacyInfo.xcprivacy across an indie iOS app catalog. What worked, what didn't, and the workflow I settled on.
What Happens When You Show Your Own Artwork to Gemini Vision — An Honest Review from a Maker and a Developer
I fed my own art images into Gemini Vision to test what it reads and what it misses. An honest, indie-developer look at where it's genuinely useful for running a wallpaper app, and where it still falls short.
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.
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.
Designing a Daily Reading Practice With Gemini as Your Reading Partner
How to use Gemini at a closer distance than 'researcher' — as a daily reading assistant. The operating model I have settled into for cross-domain reading as a solo developer and artist.
Putting Gemini 2.5 Pro's Million-Token Window to Real Use — A Design Playbook
Gemini 2.5 Pro's million-token window isn't a 'dump everything in' tool. After running it across full-codebase analysis, deep document review, and long-running conversations, here's the design playbook that actually pays off.
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.
Custom Gemini API Agent Loop Without ADK — A Complete Production Guide to Tool Calling, Memory, and Parallel Execution
Build production-grade AI agents using Gemini API directly without Google ADK. This guide covers custom agent loops, tool calling patterns, sliding window memory, parallel execution, and battle-tested error recovery strategies.
Writing Gemini Gems Custom Instructions That Actually Behave
The way you structure custom instructions for a Gemini Gem changes its behavior dramatically. Here are the patterns I converged on after several Gems and a lot of iteration.