system-prompts-and-models-of-ai-tools/docs/ai-operating-model.md

Dealix Sovereign Growth OS: AI Operating Model

1. Core Operating Doctrine

The operating fabric distinguishes between Decision and Execution planes:

• Decision Plane: Agent cognition, analysis loops, scenario evaluation, structured output (Decision Memo). Handled by Agents like M&A Screener and Partnership Scout.
• Execution Plane: Deterministic workflows, retries, worker durability. LangGraph states acting to commit external business processes.

2. Infrastructure Routing (Provider Abstraction)

We do not hardwire to one vendor. Use ProviderRouter to intelligently select:

• Cloud Models (Claude 3.5, GPT-4o) for heavy reasoning and coding.
• Local/Private Inference (Atomic Chat adapters / Llama-3) for PDPL compliance, Arabic parsing of sensitive contracts, and internal drafting.

3. Tool Verification (ToolProof Pattern)

Every meaningful script interaction requires Verification:

1. run_id linked to the interaction.
2. intended_action vs claimed_action.
3. Evaluated status: verified, partially_verified, unverified, contradicted. If the system claims an action but evidence lacks, it is automatically marked contradicted.

4. Connector Facade Rule

Agents do NOT talk directly to external APIs (like Stripe, Salesforce). They must route through an internal Connector Facade which enforces:

• Idempotency
• Timeouts/Retries
• Audit Logging
• Reversibility plans

5. Memory & Second Brain

Filesystem-based JSON indexed memory in /memory. Includes: ADRs, Postmortems, Growth Experiments, Security Checks, and Escalation Memos.