Software 3.0: The Future of Beet¶

What is Software 3.0?¶

Following Andrej Karpathy's vision, Software 3.0 represents a paradigm shift where: - Prompts are programs - Natural language becomes the primary interface - LLMs are the new operating systems - AI orchestrates functionality - Agents manipulate digital information - Autonomous systems work on behalf of users

Beet's Software 3.0 Vision¶

Natural Language First¶

Every Beet feature is designed to be accessible through natural conversation: - "Find me a Bollywood movie playing tonight near me" - "Book dinner at an Indian restaurant after the movie" - "Show me cultural events this weekend" - "Split the bill with my friends from last night"

AI-Powered Personalization¶

Beet learns and adapts to each user's preferences: - Cultural Intelligence: Understanding regional preferences (Punjabi vs Tamil events) - Behavioral Patterns: Predicting when users want entertainment - Social Graphs: Recommending events friends are attending - Taste Evolution: Adapting as preferences change

Agent-Ready Architecture¶

Beet is built for the agent-driven future: - API-First Design: Every feature accessible programmatically - Semantic Understanding: Context-aware responses - Multi-Modal Interfaces: Voice, text, and visual interactions - Autonomous Actions: Pre-authorized recurring activities

Implementation Strategy¶

Phase 1: Conversational Interfaces (Current)¶

Natural language search for movies and events
Voice-enabled booking
Chat-based customer support

Phase 2: Predictive Experiences (Next 6 months)¶

Proactive event recommendations
Automated booking suggestions
Smart notification timing

Phase 3: Autonomous Agents (12+ months)¶

Personal entertainment assistant
Automatic deal discovery
Group coordination bots

Partnership Integration¶

Software 3.0 enables smarter partnerships: - Dynamic Matching: AI matches users with relevant partner offers - Contextual Promotions: Right offer at the right time - Automated Negotiation: AI-driven partnership terms - Performance Optimization: Real-time campaign adjustments

The Augmentation Philosophy¶

Like Karpathy's Iron Man analogy, Beet augments human decision-making: - Information Enhancement: See all options at a glance - Decision Support: AI explains why certain options are recommended - Execution Assistance: One-click complex bookings - Continuous Learning: Improves with every interaction

Success Metrics for Software 3.0¶

Natural Language Usage: 40%+ of interactions via conversational UI
Prediction Accuracy: 70%+ of recommendations accepted
Agent Adoption: 25%+ of users enable autonomous features
Partnership Efficiency: 3x improvement in offer relevance

Building for the Future¶

Every feature we build asks: 1. Can this be accessed through natural language? 2. Does it work well with AI agents? 3. Can it learn and improve automatically? 4. Does it create value through partnerships?

Document Owner: Product Team Next Review: Q1 2026