GEMINI LABJP
LOGS — Developer logs for the Interactions API are now viewable in the AI Studio dashboard, so you can trace each execution step for supported callsOMNI — Gemini Omni Flash (public preview) generates 3–10s, 720p videos from text or animates a still image, then lets you refine the result conversationallyINTERACT — The Interactions API is GA and recommended for all new projects — one interface for text, multimodal understanding, tool use, and agentic workflowsSTATE — Use previous_interaction_id to keep conversation state server-side. Execution steps are observable, and long-running tasks support background executionNOTEBOOK — NotebookLM has been renamed Gemini Notebook, reportedly used by over 30M people and 600K organizationsMODEL — Gemini 3.5 Flash is the widely available latest model. The flagship Gemini 3.5 Pro remains unconfirmed officially — treat reports cautiouslyLOGS — Developer logs for the Interactions API are now viewable in the AI Studio dashboard, so you can trace each execution step for supported callsOMNI — Gemini Omni Flash (public preview) generates 3–10s, 720p videos from text or animates a still image, then lets you refine the result conversationallyINTERACT — The Interactions API is GA and recommended for all new projects — one interface for text, multimodal understanding, tool use, and agentic workflowsSTATE — Use previous_interaction_id to keep conversation state server-side. Execution steps are observable, and long-running tasks support background executionNOTEBOOK — NotebookLM has been renamed Gemini Notebook, reportedly used by over 30M people and 600K organizationsMODEL — Gemini 3.5 Flash is the widely available latest model. The flagship Gemini 3.5 Pro remains unconfirmed officially — treat reports cautiously
ARTICLES

All Articles

All (733) Gemini Basics (57) Dev Tools (106) API & SDK (405) Advanced (110) Workspace (37) Updates (18)
API & SDK/2026-06-13Advanced

Rebuilding a Three-Layer RAG Cache After Migrating to Gemini 3.5 Flash

When Gemini 2.0 Flash was retired, I rebuilt my RAG caching stack around 3.5 Flash. Here are the working implementations for response, semantic, and embedding caches, measured hit rates from production, and how self-managed caching divides the work with the API's Context Caching.

Advanced/2026-06-13Advanced

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.

API & SDK/2026-06-13Advanced

Where to Adopt Gemini 3.5 Flash GA First — Per-Workload Evaluation and a Staged Rollout with a Model Router

How I migrated production workloads to Gemini 3.5 Flash GA in stages: a per-workload evaluation harness, measured results, an env-based model router, and rollback design.

Updates/2026-06-13Intermediate

Before Gemini in Chrome Reaches Android: Getting Your Blog Ready

Gemini in Chrome starts rolling out to Android in late June with auto browse. Here are the practical, hands-on adjustments worth making to a personal blog before mobile agent browsing arrives.

Dev Tools/2026-06-13Advanced

Getting Ready for Gemini in Chrome's Auto Browse — Structuring a Web App Agents Can Actually Operate

Before Gemini's auto browse reaches Android Chrome, here is how I reshaped my own web app so an agent can reliably operate it — pinning down action targets, the accessibility tree, JSON-LD, and guarding destructive actions, all with implementation code.

API & SDK/2026-06-13Advanced

The Morning Gemini Generated Fine but the Publish Crashed — A 'Generation Outbox' So Expensive Output Is Never Lost

Generation succeeds, then the process dies right before publishing. The expensive output is gone, and you pay for the same generation again. Here is a 'generation outbox' that persists the output first and turns publishing into an idempotent follow-up, plus what it did for me during the June outage.

Gemini Basics/2026-06-13Beginner

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.

Advanced/2026-06-13Advanced

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.

API & SDK/2026-06-13Intermediate

Reading a Night of Logs in Three Minutes — Building My Own Daily Brief for Ops With the Gemini API

Inspired by Gemini's Daily Brief, I built a pipeline that turns overnight operations logs into one morning email: collect, summarize with response_schema, render, deliver — with measured token counts and a fallback that kept working through the June outage.

API & SDK/2026-06-12Intermediate

Letting File Search's Multimodal Mode Find Wallpapers I Couldn't: A Field Report

I tested whether File Search's new multimodal retrieval (gemini-embedding-2) could replace category tags for finding one wallpaper among thousands. A 300-image trial, the walls I hit, and where semantic search actually fits — with working code.

API & SDK/2026-06-12Intermediate

Building an App Store Rejection Workflow with the Gemini API — From Structured Notices to Resolution Center Replies

How I use the Gemini API to parse App Store rejection notices into structured JSON, cross-check guidelines, draft Resolution Center replies, and run pre-submission checks as an indie developer.

API & SDK/2026-06-12Intermediate

Is Anyone Actually Using Your Gemini Feature? Measuring Acceptance, Regeneration, and Edit Distance

Token charts will not tell you whether users embrace a Gemini-powered feature. A practical design for measuring acceptance rate, regeneration rate, and edit distance with Swift and BigQuery, with two weeks of real numbers.