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Governance layer (14 docs): - MASTER_OPERATING_PROMPT.md — operating constitution (five planes, six tracks, policy classes) - docs/ai-operating-model.md — five-plane architecture (Decision/Execution/Trust/Data/Operating) - docs/dealix-six-tracks.md — six strategic tracks (Revenue/Intelligence/Compliance/Expansion/Operations/Trust) - docs/governance/execution-fabric.md — OpenClaw execution plane deep dive - docs/governance/trust-fabric.md — trust plane with contradiction engine + evidence packs - docs/governance/saudi-compliance-and-ai-governance.md — PDPL/ZATCA/SDAIA/NCA live controls - docs/governance/technology-radar-tier1.md — Core/Strong/Pilot/Watch/Hold classification - docs/governance/partnership-os.md — alliance lifecycle management - docs/governance/ma-os.md — M&A corporate development lifecycle - docs/governance/expansion-os.md — geographic and vertical growth - docs/governance/pmi-os.md — post-merger integration framework - docs/governance/executive-board-os.md — executive decision surfaces - docs/execution-matrix-90d-tier1.md — 90-day sprint execution plan - docs/adr/0001-tier1-execution-policy-spikes.md — 8 architectural decisions Backend (3 models, 6 services, 8 API routes): - Contradiction Engine — detect/track system conflicts - Evidence Pack System — tamper-evident audit proof with SHA256 - Saudi Compliance Matrix — live PDPL/ZATCA/SDAIA/NCA controls - Executive Room — unified executive decision surface - Connector Governance — integration health monitoring - Model Routing Dashboard — LLM provider metrics - Forecast Control Center — actual vs forecast across tracks - Approval Center — enhanced approval queue with SLA Frontend (9 components): - Executive Room, Evidence Pack Viewer, Approval Center - Connector Governance Board, Saudi Compliance Dashboard - Actual vs Forecast Dashboard, Risk Heatmap - Policy Violations Board, Partner Pipeline Board Tooling: - scripts/architecture_brief.py — preflight validation (40/40 checks pass) - Updated CLAUDE.md and AGENTS.md with governance references https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
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CLAUDE.md — Dealix Project Context for AI Agents
Quick Context
Dealix is a Sovereign Enterprise Growth OS for GCC Companies. It manages Revenue, Partnerships, Corporate Development/M&A, Expansion, PMI, and Trust/Governance — with AI agents, durable workflows, and policy-enforced execution.
Operating Constitution: See MASTER_OPERATING_PROMPT.md for the canonical reference.
Key Directories
backend/app/api/v1/— API routes (FastAPI)backend/app/models/— SQLAlchemy modelsbackend/app/services/— Business logic layerbackend/app/services/ai/— AI engine (Arabic NLP, scoring, forecasting)backend/app/services/pdpl/— PDPL compliance enginebackend/app/services/cpq/— Configure, Price, Quotebackend/app/services/agents/— Multi-agent orchestrationbackend/app/services/llm/— LLM provider abstractionbackend/app/workers/— Celery async tasksbackend/app/integrations/— WhatsApp, Email, SMS adaptersfrontend/src/app/— Next.js pagesseeds/— Industry templates (JSON)memory/— Project knowledge basedocs/governance/— Governance framework (execution-fabric, trust-fabric, compliance, radar)docs/adr/— Architecture Decision Recordsscripts/— Architecture brief and toolingMASTER_OPERATING_PROMPT.md— Operating constitution (five planes, six tracks, policy classes)
Database
- PostgreSQL 16 with async driver (asyncpg)
- Multi-tenant: every table has
tenant_id - Alembic for migrations
- Money fields use
Numerictype (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 inmain.py - Add new model: create in
models/, add tomodels/__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
gstack Planning Discipline
Before writing code, classify your task:
| Tier | When | What to do |
|---|---|---|
| SIMPLE | 1 file, obvious change | Just do it |
| MEDIUM | Multi-file, needs thought | Read files → 5-line plan → resolve ambiguity → self-review → report |
| HEAVY | Complex, needs specific skill | Load skill → execute workflow → verify → report |
| FULL | End-to-end feature/release | Plan → review → implement → test → ship → report |
| PLAN | Research/architecture only | Plan only, save to memory/, no implementation |
RULE: Append to this file, never replace existing instructions.
Hermes Profiles
| Profile | Mission | Scope |
|---|---|---|
growth |
Customer acquisition | leads, messaging, analytics, content |
sales |
Deal closing | deals, proposals, sequences, WhatsApp |
security |
Platform protection | compliance, audit, Shannon scans |
ops |
Deployment & reliability | workers, monitoring, releases |
knowledge |
Wiki & memory management | brain, wiki, indexes |
founder |
Strategic decisions | everything (highest permissions) |
arabic-ops |
Arabic content & dialect | summarization, dialect detection, RTL |
Arabic Operations
- Use
arabic_ops.pyfor: call notes compression, market research digests, executive briefs - Always detect dialect before processing (saudi/gulf/msa)
- Check for Arabizi and suggest Arabic conversion
- Check code-switching (Arabic+English mixed) for readability
claude-mem (Persistent Memory)
Installed and active. Automatically captures every session's work and injects context into new sessions.
- Worker:
npx claude-mem start(port 37777) - Web UI: http://localhost:37777
- Search: Use
/mem-searchin Claude Code - Data:
~/.claude-mem/claude-mem.db(SQLite + Chroma vectors) - Privacy: Wrap sensitive content in
<private>...</private>tags - Token savings: ~95% reduction via 3-layer progressive retrieval
- Auto-captures: tool executions, session summaries, decisions, bugs, patterns
Governance Framework (Tier-1)
- Five Planes: Decision, Execution, Trust, Data, Operating — see
docs/ai-operating-model.md - Six Tracks: Revenue, Intelligence, Compliance, Expansion, Operations, Trust — see
docs/dealix-six-tracks.md - Policy Classes: A (auto), B (approval), C (forbidden) — enforced by
openclaw/policy.py - Contradiction Engine: Detect/track system conflicts —
services/contradiction_engine.py - Evidence Packs: Tamper-evident audit proof —
services/evidence_pack_service.py - Saudi Compliance Matrix: Live PDPL/ZATCA/SDAIA/NCA controls —
services/saudi_compliance_matrix.py - Architecture Preflight:
python scripts/architecture_brief.py(run from repo root)