Real-time AI assistant for meetings, interviews, and sales calls across 18 languages
Learn how AI agents work by watching them work
Stage
Startup
Not given
Founded
2025
Not given
Based in
IN
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Pricing model
Freemium
Not given
Pricing
Starter: Free (20 credits/month); Pro: $38/month or $19/month yearly (180 credits/month); Pro Max: $59/month or $39/month yearly (420 credits/month); Ultra: $99/month or $69/month yearly (780 credits/month). One credit equals one minute of live session; credits reset monthly.
Not given
Key features
Real-time AI responses in under one second during conversations
Live transcription in 18 languages with mid-conversation language switching
Private desktop overlay invisible to other meeting participants
Interview copilot with resume and job description context
Sales call assistance with objection handling and battle cards
Automatic meeting summaries with action items and decisions
Compatible with all major platforms including Zoom, Google Meet, Teams, Slack, WebEx
Custom AI personas and instructions for personalized responses
Session history and analytics to track performance
Fully movable window that follows your eyes and stays on top
1006 agent catalog entries with step-through simulations
1032 prompt templates and engineering methods
Architecture diagrams and vibe coding pipelines
Agent builder generating prompt and architecture blueprint
Glossary of 100+ AI and agent terms
Moderated community for discussing agents and prompts
Prompt library with full source attribution
Learning guides on LLM foundations and agent fundamentals
What makes it different
No bots join your calls - completely invisible to other participants
Responses generated in under one second, fast enough to use mid-sentence
Works with any meeting platform without requiring bot integration
Context-aware AI that understands your resume, role, and conversation history
Interactive simulations showing real agent loops before building
Completely free with no paid tier
No live model execution, only conceptual demonstrations
Curated by staff with moderation and full source attribution
Community submissions reviewed before appearing publicly