Rada teases local-first behavioral routing

The routing idea is the interesting part here, not the model roster. If Rada works as advertised, it could make local AI coding feel adaptive without the RAM churn and cold-start pain of swapping models all the time.

• –Keeping one model loaded is a practical win for responsiveness on 16GB machines, where repeated unload/load cycles can become the bottleneck
• –Behavioral routing is a clean product abstraction, but prompt and parameter changes will only go so far compared with using a genuinely better model
• –Sentinel’s deterministic RAM-based tiering is sensible because it removes guesswork and reduces user friction around model selection
• –The cloud burst quota and half-cost routed requests are a strong monetization lever: they make cloud usage feel intentional, not ambient
• –The lifetime-deal pitch suggests the founder is positioning Rada as a hedge against rising cloud-agent pricing, which is a real market pain point