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Silpo is a big chain of modern supermarkets in Ukraine.
It is famous for its innovative approaches and next-level marketing.
I'm taking part in a challenge to develop a custom autonomous AI Agent for Silpo that will help Silpo's customers make grocery shopping easier.
In the image below, you can see a visualization of how this agent gonna work.
I'd love to hear: what would you like for such an agent to be capable of doing?
Wow, love it Siplo to next level!!!!
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I wanted to share my first AI agent build that I have done a couple months back! I designed and built Cosmo, a multimodal voice agent combining n8n for orchestration, Groq/Llama for response routing, ElevenLabs for natural text-to-speech, the Web Speech API for voice input, and Supabase for persistent memory, wrapped in a custom retro console-style interface. The architecture has changed under the hood and it has been so fun to use my own personal Jarvis! https://www.instagram.com/p/DZfHudqx1jf/
The cheapest AI request is the one that never reaches a frontier model.
Routing gets the least attention of the four cost layers and it's the one I'd ship first. RouteLLM, out of UC Berkeley and LMSYS, reports over 2x cost reduction on benchmarks with no drop in answer quality. In production you can usually beat a trained router, because you already know things a benchmark can't.
Prompt caching pays just as fast, and the underrated half isn't the discount. Cache reads don't count against your input-token-per-minute ceiling, so a good breakpoint buys throughput headroom too.
Semantic caching I'd scope to a bounded question space and nothing wider.
https://www.duskolicanin.com/blog/ai-saas-cost-control-caching-routing-2026
#AI #SaaS #LLM #SoftwareEngineering
