RunAsh is built on Claude — tuned for real-time stream analysis, agentic commerce workflows, and sub-second CTA decisions. Paired with an open research stack spanning vision, speech, and generative video.
Tokens processed today0
200KtokensContext
~70tok / secSpeed
<1sTTFTLatency
4,096tokensMax output
live capability demos
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CTA Generator
Commerce
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Intent Classifier
Analytics
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Script Writer
Studio
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Translator
Global
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Sentiment Pulse
Analytics
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Agentic Planner
Agentic
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inference pipeline
Stream in. Action out.
01
Stream ingestionRTMP / WebRTC
02
Scene parsingVision + ASR
03
Intent modelCommerce signals
04
RunAsh LLMclaude-sonnet-4-6
05
Action dispatchCTA · Overlay
What the model handles
Live CTA timing and copy generation
Real-time product description rewriting
Viewer sentiment classification from chat
Inventory-aware upsell recommendations
Multi-platform caption localisation
Post-stream analytics narrative
Seller coaching and script feedback
Payment link generation in-stream
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