All Articles
Gemini API Pricing for Monetization — Free Tier, Paid Tiers, and the Pro vs Ultra Decision
Trying to make money with Gemini API? The pricing page alone won't tell you whether your business survives. Here's the Free Tier, paid Tiers 1–3, and Google AI Pro vs Ultra trade-offs read from a revenue operator's point of view.
Cancelling Gemini API Streams the Right Way — AbortController, asyncio, and the User-Initiated Stop Button
Hitting your chat UI's stop button shouldn't just freeze the screen — it should also stop billing. This guide shows how to wire up AbortController, request.is_disconnected, and the buffered-history pattern so cancellation actually does what users expect.
Making Gemini API Output Reproducible with the seed Parameter — Practical Patterns for Tests and Debugging
A practical guide to the Gemini API seed parameter, with measured match-rate data and a triage flow. Covers where seed works and where it quietly fails, how to fix a wrapper that drops seed, and diagnosing variance with logprobs.
Gemini API × Stripe — Production Usage-Based Billing for Indie AI SaaS
A complete guide to building a usage-based billing system for your Gemini API SaaS using Stripe Metered Billing and webhooks — production patterns included.
When Gemini API Returns Mojibake: 4 Places to Check First
Mojibake in Gemini API responses almost never comes from the API itself — it lives in your client code. Walk through the four layers (HTTP decoding, streaming chunks, output encoding, surrogate pairs) where the corruption hides.
Generating Multilingual Video Subtitles (SRT/VTT) with the Gemini API
A practical pattern for generating SRT/VTT subtitles in multiple languages from a single video file using the Gemini API. Covers timestamp accuracy, JSON schema output, and production pitfalls.
Measuring Classification Confidence with Gemini API Logprobs — A Practical Walkthrough
Use the Gemini API responseLogprobs option to extract per-token confidence scores, then turn them into an auto-vs-review gate for classification — with working Python code and the threshold thinking behind it.
Production-Ready Function Calling with Gemini 2.5 Pro API — Realistic Patterns for Failures, Timeouts, and Hallucinations
Gemini 2.5 Pro's Function Calling is powerful, but it tends to land in 'works, but does odd things sometimes' territory in production. Here are the design patterns I arrived at running search, reservation, and notification agents.
Five Design Decisions to Make Before Putting gemini-2.5-pro-latest in Production
Running gemini-2.5-pro-latest in production is more than picking a fast model. Here are the five design decisions — versioning, retry, cost, fallback, observability — that I now resolve before any new service ships.
From Free Tier to First Paying User with the Gemini API — Three Walls Indie Devs Hit
Reaching 'it works' with the Gemini API is easier than ever. Reaching 'someone paid for it' is a different problem entirely. Here are the three non-technical walls indie developers hit before their first paying user — with the minimal code that wires payment to key issuance.
Gemini API Temperature Best Practices by Task — Translation, Summarization, Code, Chat, and More
The `temperature` parameter is one of the highest-leverage knobs in the Gemini API, yet most implementations ship with the default. This guide walks through the value I actually use for each task type — translation, summarization, code generation, chat, classification — and explains why.
Defending Gemini API Responses with Schema Validation — Never Let Unexpected Formats Reach Production
Gemini's structured output is convenient, but in production the day always comes when an unexpected format slips through. This piece walks through layered Zod/Pydantic validation, repair prompts, and graceful degradation — the defense lines I run on my own apps.