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.
Building Event-Driven Async AI Pipelines with Gemini API — Pub/Sub, Webhooks, and Queue Integration for Production
A deep dive into designing event-driven asynchronous AI pipelines using Gemini API with Google Cloud Pub/Sub, webhooks, and Redis queues. Includes the design pitfalls and how to estimate cost and throughput.
After You Improve the Prompt, How Far Back Do You Regenerate? — Designing a Budget-Bounded Backfill
A prompt improvement only helps future output — thousands of old artifacts stay on the previous generation. This piece covers a budget-bounded backfill: selection scoring, edit-detection hashes, a pre-replacement gate, and a resumable cursor, with working code.
Tracing Which Prompt Revision Moved Your Quality — Prompt Versioning for a Gemini Pipeline
Editing prompts in place erases the trail: when quality shifts you can't tell whether the model moved or your wording did. Here's a small system that pins prompts by content hash, stamps every generation with the model ID and revision, and bisects a quality drop down to the exact revision boundary, with copy-paste Python.
The Morning a Preview Image Model Went Dark — Migrating to GA Gemini Image Models and Building a Deprecation-Resilient Pipeline
With gemini-3.1-flash-image-preview and gemini-3-pro-image-preview retired, here is how to migrate to the GA models and design an image pipeline that no longer gets caught off guard by deprecation dates — with code and cost math, plus video-to-image thumbnail automation.
Building an Automated Content Pipeline with Veo 3 & Lyria 3 Pro API — Mass-Producing Video + Music
Learn how to combine Veo 3 and Lyria 3 Pro APIs to automatically generate and merge video and music from text prompts. Covers setup, production-ready Python code, error handling, common pitfalls, and cost optimization strategies.
Gemini API × Cloud Storage: Building a Production Pipeline for 100MB File Processing with Private DB Integration
Learn how to build production-grade file processing pipelines using Gemini API's Cloud Storage integration and 100MB upload support, with GCS buckets, pre-signed URLs, and cost optimization strategies.
Building an AI Presentation Pipeline with Gemini API and Google Slides Apps Script — A
Learn how to build a complete presentation pipeline using Gemini API and Google Apps Script that auto-generates slide outlines, content, and designs from a single topic input.
Automated Monetization Infrastructure with Gemini API — 6 Revenue Engines Powered by Multimodal AI and Function Calling
A comprehensive guide to 6 automated revenue engines built on Gemini API's multimodal processing, Function Calling, and context caching. Covers SaaS, API services, content pipelines, data analysis, Workspace integration, and education platforms.