Designing a Multi-LLM Failover Architecture Around Gemini API: Production Redundancy Patterns That Actually Hold
A production-grade pattern for putting Gemini API at the core of your stack while keeping Claude and GPT-4o as fallbacks — router, adapters, circuit breakers, and observability, all written in Python you can paste straight into your service.
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.
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.
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.
Architecting a Multi-Tenant SaaS on Gemini API — Tenant Isolation, Usage Metering, and Runaway Cost Defense in Production
A field-tested blueprint for serving Gemini API to multiple tenants on a single backend — covering tenant isolation choices, per-tenant rate limiting in Redis, request-level usage metering for billing, and runaway-cost defenses.
Async AI Job Queues with Gemini API and Cloud Tasks — Production Patterns for Timeouts, Retries, and Rate Limits
Migrate synchronous Cloud Run + Gemini calls to a Cloud Tasks async job queue. Covers retries, DLQ, idempotent workers, and cost modeling with working code.
Controlling Gemini 2.5 Pro's Thinking — Thinking Budget and Reasoning-Aware Prompt Design
A deep dive into Gemini 2.5 Pro's Thinking feature and internal reasoning process. Covers Thinking Budget configuration, optimal values by task type, extracting thinking_parts for quality verification, and prompt design patterns that maximize reasoning quality.
Firebase Genkit × Gemini API in Production — Design Choices and Gotchas from a Month of Indie Backend Work
Field notes from a month of running Firebase Genkit and Gemini API behind an indie app review-summarization backend. Flow and Tool design, Cloud Functions vs. Cloud Run, real cost and latency numbers, and seven undocumented gotchas.
Building Production Full-Stack AI Apps with Gemini API & Supabase
A practical guide to building production-grade full-stack AI apps with Gemini API and Supabase—covering auth, pgvector, Edge Functions, RLS, and cost control, plus the tuning lessons (IVFFlat to HNSW recall recovery, the service_role RLS bypass) you only learn in production.
Run Managed Agents with background: true So Your UI Never Freezes — An Async Run Pattern for Solo Developers
A background run in Managed Agents returns a run ID, not a finished answer. Here is the minimal polling setup, where it pays off in solo development, and the credential-refresh details worth knowing.
Still image or short clip? Deciding feature placement from the cost gap between Nano Banana 2 Lite and Omni Flash
When I froze over whether a wallpaper app's hero asset should be a still image or a short moving loop, the deciding factor was not taste but the order of magnitude of the cost. Here is how to normalize Nano Banana 2 Lite and Omni Flash onto the same footing, down to a working decision function.
Keeping a Long-Running Managed Agent Alive Across Sandbox Recycling — Durable Checkpoints and Idempotent Resume
A Managed Agents sandbox can be recycled out from under you. Before 40 minutes of work resets to zero, we design a durable checkpoint that pushes progress outside the sandbox and an idempotent resume that never runs a side effect twice. With working SQLite code.