Keep an Agent Running on a Nearly Empty Quota — Designing Graceful Degradation
When the monthly quota is almost gone, stopping the agent entirely is not the only option. Here is how to design graceful degradation — dropping capability one tier at a time while still producing valuable output — with policy code.
How Far Can On-Device Inference Stay Free? Measuring the Line Between Foundation Models and Gemini
WWDC 2026 widened Apple Foundation Models' free tier, making on-device inference easier to reach for. But 'free, so everything on-device' hits cases where quality falls short. Here is how to decide the range you hold on-device and the range you pass to cloud Gemini by measurement, not guesswork.
Designing a 4-Tier Fallback Architecture for Antigravity Agents — Catching Model Degradation, API Outages, and Cost Overruns Across Layers
How to design a 4-tier fallback hierarchy for production AI agents on Antigravity, drawn from 24 months of running 11 agents across 6 indie apps. Includes the decision logic, code, and real demotion statistics.
Antigravity x LiteLLM: Routing Multiple LLM Providers Through a Single Proxy
A practical guide to placing LiteLLM in front of Antigravity so you can route across Gemini, Claude, OpenAI, and local Gemma 4 from a single endpoint, including fallback chains and operational pitfalls.