Signal Systems
Public intel for trust and awareness. Private signals for stricter, rarer, higher-value decisions with context and review loops.
This is not a concept page. It is the front face of a real operating stack already running on a VPS: public intel, private signal routing, retail radar, Telegram operations, a brand-aware content engine, and a protected product dashboard with a built-in AI layer.
SvetAI combines data collection, signal compression, alert routing, AI explanation, media generation, and protected app access into one coherent product architecture.
Public intel for trust and awareness. Private signals for stricter, rarer, higher-value decisions with context and review loops.
Retail radar, watch bots, stateful dedupe, live notifications, and production-safe service routing across the stack.
A product-specific assistant that understands the ecosystem, explains signals, and turns raw system output into usable intelligence.
One source in. Multi-channel assets out. Hooks, captions, threads, Telegram posts, meme formats, scripts, and visual briefs in one consistent workflow.
Clean hourly market briefs and awareness output designed to warm an audience, build credibility, and show the machine is alive without leaking the best edge.
Strict, context-heavy premium routing focused on higher-conviction setups, confluence, memory, and disciplined filtering.
Protected dashboard, AI assistant, service overview, ecosystem visibility, and the early foundation of a serious operator-grade product UI.
SvetAI includes a dedicated intelligence assistant inside the protected app area. It answers questions about markets, explains the difference between intel and signals, summarizes what the system is seeing, and turns live infrastructure into a usable interface.
REST, websocket, scraping, state memory, dedupe, and persistent tracking designed to survive restarts and keep context across cycles.
Public intel, premium signals, Telegram delivery, review loops, and structure that separates trust-building output from monetizable output.
Dashboard access, contextual assistant, ecosystem visibility, and the foundation for a scalable control surface around the entire stack.
Limited daily generations, subtle branding, and a high-value trial layer that turns outputs into distribution for the platform.
Open accessHigher-conviction routing plus stronger creation control without free-tier limits or branded output constraints.
Private accessProtected dashboard, AI assistant, live module visibility, and system-level context.
Login requiredSvetAI is being shaped as a platform, not just a collection of experiments. The site, login flow, dashboard, and AI assistant are now part of that product surface.