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system-prompts-and-models-o.../salesflow-saas/CLAUDE.md
Claude a329957a3b
feat: Add AI engine, PDPL compliance, sequences, CPQ, and governance layers 
Phase 1-6 implementation for Dealix AI Revenue OS:

- AI Arabic Engine: NLP (arabic_nlp.py), lead scoring (lead_scoring.py)
- PDPL Compliance: consent manager, data rights handler, consent model
- Sequence Engine: multi-channel sequences with WhatsApp/Email/SMS
- CPQ System: quote engine, AI proposal generator
- Security Gate: pre-release checks, PDPL message validation
- Tool Verification: agent action audit trail
- Project Operating Files: AGENTS.md, CLAUDE.md
- Project Memory: architecture, ADRs, provider routing, PDPL checklist
- Design System: IBM Plex Sans Arabic tokens, RTL-safe components
- Sequence/Consent models for database

https://claude.ai/code/session_01LsnvBa7HwF5hs99VZbgLGj
2026-04-11 07:40:39 +00:00

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CLAUDE.md — Dealix Project Context for AI Agents

Quick Context

Dealix is an AI-powered CRM built for the Saudi market. It combines Salesforce-grade AI with WhatsApp-first communication, PDPL compliance, and Arabic-first UX.

Key Directories

  • backend/app/api/v1/ — API routes (FastAPI)
  • backend/app/models/ — SQLAlchemy models
  • backend/app/services/ — Business logic layer
  • backend/app/services/ai/ — AI engine (Arabic NLP, scoring, forecasting)
  • backend/app/services/pdpl/ — PDPL compliance engine
  • backend/app/services/cpq/ — Configure, Price, Quote
  • backend/app/services/agents/ — Multi-agent orchestration
  • backend/app/services/llm/ — LLM provider abstraction
  • backend/app/workers/ — Celery async tasks
  • backend/app/integrations/ — WhatsApp, Email, SMS adapters
  • frontend/src/app/ — Next.js pages
  • seeds/ — Industry templates (JSON)
  • memory/ — Project knowledge base

Database

  • PostgreSQL 16 with async driver (asyncpg)
  • Multi-tenant: every table has tenant_id
  • Alembic for migrations
  • Money fields use Numeric type (never Float)

AI Architecture

  • Provider abstraction: Groq → OpenAI fallback
  • Model router: task-specific model selection
  • Arabic NLP: intent, sentiment, entity extraction
  • Lead scoring: 0-100 composite score
  • Conversation intelligence: Arabic dialogue analysis
  • Sales agent: autonomous WhatsApp qualification bot

PDPL Compliance (Critical)

  • Check consent before ANY outbound message
  • Track consent purpose, channel, timestamp
  • Support data subject rights (access, correct, delete)
  • Audit trail for all consent changes
  • Auto-expire consent after 12 months
  • Penalty: up to SAR 5 million per violation

Testing

pytest -v                           # All tests
pytest tests/test_ai/ -v            # AI engine tests
pytest tests/test_pdpl/ -v          # PDPL compliance tests
pytest tests/test_api/ -v           # API endpoint tests

Common Tasks

  • Add new API endpoint: create route in api/v1/, register in main.py
  • Add new model: create in models/, add to models/__init__.py, create migration
  • Add new AI feature: create in services/ai/, wire to relevant API/worker
  • Add industry template: create JSON in seeds/, match existing schema