◉GEMINI LABJP
●VIDEO — Agentic video understanding reached 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite on September 1. The model navigates the timeline itself rather than sampling frames at a fixed rate●TOKENS — Because it pulls transcripts, frames, or audio only when it needs them, Google measures up to 88% fewer tokens on long-form content●SCOPE — It works across both the Interactions and GenerateContent APIs. If you have costed out long-video work before, the assumptions have moved●MUSIC — Lyria 3.5 entered public preview on September 3, generating full-length songs at 44.1 kHz stereo●CONTROL — Lyria 3.5 accepts text and image inputs, with better musical coherence, more natural vocals, and finer control over duration and structure●ROBOTICS — gemini-robotics-er-2-streaming-preview is tuned for real-time streaming over the Live API, with function calling that blocks on physical robot actions●VIDEO — Agentic video understanding reached 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite on September 1. The model navigates the timeline itself rather than sampling frames at a fixed rate●TOKENS — Because it pulls transcripts, frames, or audio only when it needs them, Google measures up to 88% fewer tokens on long-form content●SCOPE — It works across both the Interactions and GenerateContent APIs. If you have costed out long-video work before, the assumptions have moved●MUSIC — Lyria 3.5 entered public preview on September 3, generating full-length songs at 44.1 kHz stereo●CONTROL — Lyria 3.5 accepts text and image inputs, with better musical coherence, more natural vocals, and finer control over duration and structure●ROBOTICS — gemini-robotics-er-2-streaming-preview is tuned for real-time streaming over the Live API, with function calling that blocks on physical robot actions
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◈ Gemini API/2026-06-02Intermediate

A Month of Refreshing App Store Promotional Text Weekly with Gemini

Notes from one month of rewriting App Store promotional text (the 170-character line above the description) weekly with the Gemini API. How I reused a slot that ships without review, what I handed to AI, what I always touched by hand, and whether it moved anything.

◈ Gemini API/2026-05-29Advanced

Designing a Semantic Clustering Pipeline for App Reviews with Gemini Embeddings

How I cluster 10,000+ app reviews from my indie apps using Gemini Embeddings to compute improvement priorities. The three-layer pipeline and cost design that emerged from a year of running it.

⬡ Gemini Advanced/2026-05-29Intermediate

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.

◈ Gemini API/2026-05-23Intermediate

Six Weeks of Running an App Store vs. Google Play Review Diff with Gemini

A six-week record of using the Gemini API to classify App Store and Google Play reviews in parallel and surface platform-specific priority items. Notes from running this on an indie wallpaper app with 50M+ cumulative downloads, including the three platform gaps that actually showed up and the monthly cost.

◈ Gemini API/2026-05-16Intermediate

Automating App Store and Google Play Review Replies with Gemini API — The 8-Second Rule I Discovered the Hard Way

A practical implementation record of automating multilingual app review replies using Gemini API, based on managing apps with 50M+ cumulative downloads. Covers the undocumented 8-second wait rule that Apple's API silently enforces.

◈ Gemini API/2026-05-15Intermediate

Making Gemini API 12x Faster with asyncio: Lessons from Multilingual App Store Generation

How parallelizing Gemini API calls with asyncio cut multilingual App Store description generation from 13 minutes to 65 seconds — including Semaphore-based rate limit handling and what changed when moving from google-generativeai to google-genai.

◈ Gemini API/2026-04-03Advanced

Gemini API × SwiftUI in Production: Streaming, Multimodal, Error Handling, and App Store Submission

A production-grade guide to integrating the Gemini API into SwiftUI apps at production quality. Covers streaming responses, multimodal input, error handling, test strategies, and App Store submission requirements.