Release Day 5 🔌 cascadeflow for edge devices

Where it all started. Run AI on performance-limited hardware:
- Fully local: vLLM/Ollama support, <10B handles most
- Hybrid: escalate to cloud only when needed
- Domain-specific models outperform flagships

Examples
⭐ github.com/lemony-ai/ca...

#EdgeAI

Day 4 🎯 User-tier cascading

cascadeflow now assigns different AI models & cascading strategies per user tier:

- different cascade rules per user/group
- enforce spending limits and routes
- available via presets

Your strategy. Your rules. Full transparency.

⭐ github.com/lemony-ai/ca...

#AI

Day 2 of release sprint 🎯

n8n integration is live on github! cascadeflow now plugs into your workflows.

Connect 2 models (cheap drafter + flagship verifier) instead of 1 expensive model. 70-80% of queries never touch the flagship = 40-85% cost savings.

⭐ us: github.com/lemony-ai/ca...

#n8n #AI

Day 1 of our release sprint 🚀
CascadeFlow shipped, open source AI cascading that cuts costs 30-65% in 3 lines of code.
Small models handle 80% of workflows. Python + TypeScript. MIT licensed.
Try it & leave a ⭐
github.com/lemony-ai/ca...
#OpenSource #AI

Excited to launch cascadeflow on @github.com!
Smart AI model cascading that cuts your AI costs by 30-65% in just 3 lines of code.
How small & domain-specific models can handle 80% of workflows; we're making this knowledge available to the entire AI community.
github.com/lemony-ai/ca...