All Articles
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.
Building Self-Critiquing Agents with Gemini API: A Production-Ready Guide to Reflection and Critic-Refiner Patterns
A production-grade walkthrough of Reflection and Critic-Refiner patterns with Gemini 3 Pro and 2.5 Flash. Covers implementation, cost guards, over-correction defenses, and monitoring signals from real deployments.
Safely Migrating Gemini Model Versions with Shadow Traffic — A Production Pattern for Measuring Output Drift
Stop treating Gemini model migrations as a coin flip. This guide walks through a production-ready shadow traffic architecture — duplicate real inputs to the new model, quantify output drift, and cut over progressively. Includes Python and Cloud Tasks code you can ship today.
Reading a 200-Page Contract with Gemini 2.5 Pro — Five Techniques That Move Long-Context Analysis to Production Quality
Using Gemini 2.5 Pro's long context for real business work takes more than stuffing the whole document in. Here are the five techniques I found most effective for contracts, meeting minutes, and technical specs.
Defending Gemini API Apps from Prompt Injection: A Multi-Layer Production Architecture
A four-layer prompt injection defense for Gemini apps: sanitized input, hardened prompts, structured output, and a moderator LLM — with runnable Python.
Gemini × DSPy: Retire from Prompt Craftsmanship — Automated Prompt Optimization
A hands-on implementation guide for combining Stanford's DSPy framework with Gemini to end the era of hand-written prompts. Covers Signatures, Modules, Optimizers, LLM-as-a-Judge metrics, and production pipelines — all with working code.
Taking Gemini 2.5 Pro Seriously — Where Long-Context Reasoning and Code Generation Earn Their Keep
A solo developer's practical evaluation of Gemini 2.5 Pro across long-context reasoning, code generation, and the Thinking mode — including the tasks where it outperforms competitors and the ones where you're better off routing elsewhere.
to Production Architecture for Gemini API 2026— Design Patterns for Building Scalable, Reliable AI Systems
A comprehensive guide to production-grade design patterns for Gemini API. Covers resilient API clients, multi-layer caching, multi-tenant design, observability, and cost control with complete code examples.