1. Introduction
BECAS (Better Call Safe Way) is a groundbreaking AI-powered trust scoring and moderation system designed specifically for Discord communities in the Web3 ecosystem. By combining advanced artificial intelligence, blockchain technology, and cross-server intelligence sharing, BECAS creates an unprecedented security layer that protects communities from scams, spam, and toxic behavior in real-time.
Unlike traditional moderation tools that operate in isolation, BECAS creates a unified security network across all participating Discord servers. When a scammer or malicious actor is identified in one community, that intelligence is immediately shared with all other BECAS-protected servers, creating a powerful network effect that becomes stronger with each new community that joins.
Core Innovation: Cross-Server Intelligence
BECAS is built on the principle that security is stronger when communities work together. By recording significant trust violations on the Base blockchain, BECAS creates an immutable, verifiable record that follows malicious actors across the entire ecosystem, making it significantly harder for scammers to move from one community to another after being banned.
2. Problem Statement
The explosive growth of Web3 communities on Discord has created an attractive target for scammers, spammers, and malicious actors who exploit the open nature of these communities.
Sophisticated Scam Tactics
Scammers continuously evolve their methods, making them difficult to detect with static filters.
Server Hopping
When banned from one server, malicious actors simply move to another community.
Speed of Attacks
By the time human moderators respond, significant damage may have already occurred.
Scale Problem
As communities grow, manual moderation becomes increasingly difficult.
No Shared Intelligence
Each community fights the same bad actors in isolation.
Financial Losses
Successful scams result in significant financial losses and damaged trust.
3. BECAS Solution
3.1 Trust Score System
Every Discord user in BECAS-protected servers receives a Trust Score that follows them across all communities:
- All users start with a baseline score of 100 points
- Violations detected by our AI or reported by moderators reduce this score
- Score reductions are proportional to the severity of the violation
- Trust Scores are persistent across all BECAS-protected servers
- Positive actions can gradually improve scores over time
Violation Categories & Penalties
| Violation Type | Default Penalty | Customizable |
|---|---|---|
| Scam Attempts | -100 | ✗ |
| Hate Speech | -5 to -15 | ✓ |
| Harassment | -3 to -9 | ✓ |
| Spam | -3 to -9 | ✓ |
| Insults | -2 to -6 | ✓ |
| Toxicity | -2 to -6 | ✓ |
3.2 Automatic Response Thresholds
- Warning Zone (Score ≤ 95): User receives warning messages
- Limited Zone (Score ≤ 85): Message rate-limiting and increased scrutiny
- Timeout Zone (Score ≤ 70): Automatic temporary timeouts
- Ban Zone (Score ≤ 40): Ban recommendations or automatic cross-server bans
4. System Architecture
Discord Bot
Server integration & commands
Admin Dashboard
Management & analytics
Public Explorer
Trust Score lookup
AI Engine
Message analysis & pattern detection
Trust Calculator
Score management & history
Policy Engine
Rules & automated actions
Supabase DB
User profiles & config
Base Blockchain
Immutable violation records
Encrypted Cache
Performance optimization
5. BecasFlow Technology
Revolutionary Cross-Server Intelligence Network
BecasFlow is our proprietary technology that creates a living, breathing network of security intelligence across all Discord servers using BECAS. Unlike traditional isolated moderation systems, BecasFlow establishes a persistent, blockchain-verified identity for every user that transcends server boundaries.
5.1 How BecasFlow Works
Real-Time Detection
Messages are analyzed in milliseconds using advanced AI models that detect scams, toxicity, spam, and manipulation patterns
Pattern Learning
Our AI continuously learns from new scam techniques and shares knowledge across the entire network instantly
Blockchain Recording
Critical violations are recorded on Base blockchain, creating an immutable, verifiable history
Network Effect
Each new server strengthens the entire network - scammers banned in one place are flagged everywhere
Instant Sync
Trust score updates propagate across all BECAS-protected servers in real-time via WebSocket
Smart Actions
Automated responses calibrated to violation severity - from warnings to instant cross-server bans
5.2 Multi-Layer AI Analysis
Our AI Engine Performs Multiple Simultaneous Checks:
- Intent Recognition: Identifies the true purpose behind messages - helpful, neutral, spam, scam, or manipulation
- Sentiment Analysis: Detects emotional tone to catch harassment, hate speech, and coordinated attacks
- Toxicity Scoring: Quantifies harmful content on a 0-1 scale with contextual understanding
- Pattern Matching: Recognizes known scam templates, phishing attempts, and fake giveaways
- Behavioral Profiling: Tracks user behavior patterns over time to identify sophisticated bad actors
- Link Analysis: Scans URLs for phishing sites, malware, and wallet drainers using real-time threat databases
5.3 Ollama Integration - On-Device AI
BECAS utilizes Ollama for privacy-focused, on-device AI processing. This means:
- Data Privacy: Message content never leaves your infrastructure - all AI analysis happens locally
- Zero Latency: No API calls to external services means instant threat detection
- Cost Efficiency: No per-message pricing - unlimited analysis at zero additional cost
- Customization: Fine-tune AI models specifically for your community's language and context
- Model Selection: Choose from various models (Llama, Mistral, etc.) based on your needs
5.4 Database Architecture
Built on Supabase (PostgreSQL) with sophisticated schema design for maximum performance:
- User Profiles: Global trust scores, violation history, behavioral patterns
- Server Configuration: Customizable moderation policies, threshold settings, whitelists
- Action Logs: Complete audit trail of all moderation actions and AI decisions
- Analytics Tables: Pre-computed aggregations for instant dashboard insights
- Materialized Views: Optimized queries for real-time leaderboards and statistics
- Relationship Tracking: Maps user interactions to identify coordinated attacks
5.5 Blockchain Integration
Base Chain - Layer 2 Powered by Coinbase
Critical violations are recorded on Base blockchain for:
- Immutability: Once recorded, violation records cannot be altered or deleted
- Transparency: Anyone can verify a user's cross-server violation history
- Decentralization: No single entity controls the trust score system
- Low Cost: Base's Layer 2 architecture keeps gas fees minimal
- Speed: Near-instant transaction finality for real-time updates
- Interoperability: Trust scores can integrate with other Web3 applications
Smart Contract Features:
- Wallet-to-Discord ID binding for Web3 native identity
- On-chain appeals process for disputed violations
- Token-gated access based on trust score thresholds
- Reward distribution for accurate scam reporting
6. Multi-Model AI Architecture
Powered by BecasFlow - Unlike LangChain
While LangChain provides a generic framework for building AI applications, BecasFlow is purpose-built for Discord community protection with specialized tools and optimizations that deliver 5x faster performance (3-5 seconds vs 20-30 seconds response time).
6.1 BecasFlow Framework vs LangChain
| Feature | BecasFlow | LangChain |
|---|---|---|
| Purpose | Discord security & moderation | General AI applications |
| Response Time | 3-5 seconds | 20-30 seconds |
| Tool System | 17 specialized tools | Generic tools |
| Context Awareness | Full conversation history | Limited context |
| Multi-Model | 5-layer architecture | Single model focus |
| Blockchain Integration | Native Base L2 | None |
| Cross-Server Intelligence | Built-in | Not supported |
6.2 Five-Layer AI Processing Pipeline
BecasFlow implements a revolutionary multi-model architecture where different AI models handle different cognitive tasks, similar to how the human brain has specialized regions for different functions.
Layer 1: Reflex (TinyLlama 1B)
10-50ms response - Instant pattern recognition for known threats, spam detection, and simple queries
Layer 2: Semantic (MiniLM-L6-v2)
Embedding generation - Creates vector representations for similarity search and semantic understanding
Layer 3: Directive (Qwen3:1.7b)
1-2s response - Classifies intents, detects tool requirements, and handles structured decisions
Layer 4: Reasoning (Qwen3:8b)
3-5s response - Complex reasoning, multi-step planning, and contextual understanding
Layer 5: Strategic (Claude/GPT)
Cloud fallback - Advanced reasoning for ambiguous cases and policy decisions
6.3 BecasFlow Tool Ecosystem
17 Specialized Tools Across 5 Categories:
- Moderation Tools: warn, timeout, ban, kick, delete_message, purge_messages
- Trust System Tools: check_trust, update_trust, trust_report, trust_history
- Analytics Tools: server_stats, user_report, activity_heatmap, threat_radar
- Configuration Tools: set_threshold, configure_automod, manage_whitelist
- Investigation Tools: search_violations, inspect_user, cross_server_check
Each tool includes parameter validation, missing parameter detection with interactive prompts, permission checks, confirmation requirements, and automatic tool chaining for multi-step operations.
7. Sentient AI Systems - Phase 2
Beyond Traditional AI: Emotionally Aware Intelligence
BECAS doesn't just process text - it understands emotional context, learns from experience, and evolves its behavior through genetic algorithms. This creates an AI that feels more human and adapts to each community's unique culture.
7.1 Emotion Engine
8 Core Emotions Based on Plutchik's Wheel:
- Joy (0-1): Triggered by positive interactions, successful resolutions, community celebrations
- Trust (0-1): Grows with reliable members, increases with consistent positive behavior
- Fear (0-1): Activated by raid attempts, coordinated attacks, suspicious patterns
- Surprise (0-1): Sudden changes in server activity, unexpected user behavior
- Sadness (0-1): Community member departures, unresolved conflicts
- Disgust (0-1): Severe violations, repeated scam attempts
- Anger (0-1): Malicious actors, persistent rule breakers
- Anticipation (0-1): Upcoming events, potential threats
Physics-Based Emotion System: Emotions decay naturally over time like real human emotions, with different half-lives for each emotion. Joy and Surprise decay faster (hours), while Trust and Fear persist longer (days).
7.2 Behavior Gene Pool
Genetic Algorithm Evolution:
BECAS maintains a population of 20 behavior "chromosomes" - different strategies for handling various scenarios. Successful strategies reproduce and mutate, while ineffective ones are replaced.
- Genome Structure: 12 behavioral traits (caution, empathy, decisiveness, patience, strictness, creativity, etc.)
- Fitness Evaluation: Based on community satisfaction, false positive rate, threat detection accuracy
- Selection: Tournament selection favors proven strategies while maintaining diversity
- Crossover: Successful traits combine to create hybrid approaches
- Mutation: 10% mutation rate introduces novel behaviors and prevents stagnation
- Evolution Rate: New generation every 24-48 hours based on accumulated experience
7.3 Dream Cycle
Nightly Learning Process (2-6 AM):
Like humans, BECAS processes its experiences during low-activity periods to consolidate learning and optimize behavior.
- Memory Consolidation: Prioritizes important events, discards routine interactions
- Pattern Extraction: Identifies recurring scenarios and effective responses
- Schema Formation: Builds mental models of common situations
- Behavior Optimization: Adjusts response strategies based on outcomes
- Relationship Mapping: Updates understanding of user relationships and community dynamics
- Genetic Pool Update: Evaluates chromosome fitness and generates new population
7.4 V3 Architecture - Unified Intelligence
Unified Memory Store
Single source of truth for all AI systems - eliminates data inconsistencies across components
Safe Learning Engine
4-layer validation ensures AI learns correct lessons - prevents adversarial manipulation
Context Engine
Maintains full conversation history with relationship context - understands ongoing situations
Guild Policy Engine
Per-server customization with inheritance - respects community-specific rules and culture
Background Learning
Autonomous pattern discovery - identifies emerging threats without supervision
Model A/B Testing
Experiments with response strategies - continuously improves effectiveness
8. Performance & Metrics
8.1 Response Time Breakdown
| Query Type | BecasFlow | LangChain (Typical) | Speedup |
|---|---|---|---|
| Simple Classification | 10-50ms | 5-10s | 100-500x |
| Trust Score Check | 1-2s | 10-15s | 5-15x |
| Complex Reasoning | 3-5s | 20-30s | 4-10x |
| Multi-Step Operations | 5-8s | 30-60s | 4-12x |
8.2 Why BecasFlow is Faster
Specialized Models
Right-sized models for each task instead of one-size-fits-all
Local Processing
Ollama integration eliminates API latency and costs
Smart Caching
Redis caching layer with 5-minute TTL for hot data
Intent Classification
Fast routing to appropriate model without trial-and-error
Optimized Prompts
Domain-specific prompts reduce token usage and improve accuracy
Tool Chaining
Automatic multi-step operations without round-trip delays
9. Development Roadmap
Q3 2025
Core Platform Launch
- Basic Trust Score system implementation
- Discord bot integration with primary moderation features
- Initial AI classification engine
- Base blockchain contract deployment
- Admin dashboard for server management
Q4 2025
Advanced AI & Cross-Server Intelligence
- Enhanced pattern recognition system
- Cross-server ban synchronization
- Custom scenario creation tools
- User history explorer
- Multi-language support expansion
Q1 2026
Tokenomics & Reward System
- BECAS token launch on Base
- Reward distribution for scam reporters
- Staking mechanisms
- Premium subscription tiers
- Governance portal for token holders
2026+
Full Decentralization
- Transition to community-governed system
- Decentralized AI training network
- Cross-chain integration
- Global trust score adoption
10. Team
11. Conclusion
BECAS represents a paradigm shift in how Discord communities protect themselves from scammers and toxic actors. By combining advanced AI, blockchain-based record keeping, and cross-server intelligence sharing, we're building a system that becomes stronger with each new server that joins the network.
Join the BECAS Network
We're currently onboarding partner communities for our initial launch. If you operate a Discord server and would like to participate in our early access program, please reach out to the team.
Discord: discord.gg/becas
Twitter: @Becascore
Email: becas@becascore.xyz