Platform Docs / Articles
Mind Map Articles
Every node in the Entrestate mind map is represented as an individual article for partner, operator, and investor-level reading.
Decision Tunnel
Decision Tunnel (Workflow)
The core four-stage decision pipeline from user intent to execution-ready outputs.
Read articleStage 1: Intent
Converts natural language goals into deterministic platform instructions.
Read articleNL Goal to TableSpec JSON
Compiler layer that maps natural-language goals into machine-executable TableSpec payloads.
Read articleIntent-Aware Parsing
Parsing strategy that adapts to user objective, risk profile, and time horizon.
Read articleHidden Parameter Extraction
Derives implicit filters that users do not explicitly provide in their request.
Read articleStage 2: Evidence
Collects, validates, and structures data from the evidence hierarchy before scoring.
Read articleExclusion Policy (Filter Distressed/Duplicates)
Ruleset that removes non-representative, duplicate, and low-integrity records.
Read article5-Layer Evidence Stack
Structured trust model that separates canonical, derived, dynamic, external, and raw evidence.
Read articleData Hygiene (Canonical Graph)
Normalization and entity-resolution process that builds a reliable canonical graph.
Read articleStage 3: Judgment
Transforms validated evidence into ranked opportunities with transparent score logic.
Read article65% Market Score (Objective Quality)
Objective score contribution based on market and asset quality characteristics.
Read article35% Personal Match (Subjective Lens)
Profile-adjusted score contribution aligned to user preference and strategy.
Read articleRanking & Scoring Engine
Deterministic ranking engine that combines objective and subjective scoring components.
Read articleStage 4: Action
Converts ranked outcomes into artifacts and next-step execution workflows.
Read articleBranded Decision Objects (PDF/Memos)
Produces client-facing outputs suitable for internal and external decision communication.
Read articleEvidence Drawer (Transparency/Footnotes)
Transparency layer that exposes sources, filters, assumptions, and confidence for outputs.
Read articleAutomation Studio
Workflow orchestration layer for repeatable, event-driven decision and communication tasks.
Read articleEvidence Stack
Evidence Stack Hierarchy
Trust-stratified evidence model that governs how data is used in decisioning.
Read articleL1: Canonical (Static Truths/Audited)
Highest-trust audited layer for foundational facts.
Read articleL2: Derived (Calculated Truths)
Deterministic metrics calculated from trusted evidence inputs.
Read articleL3: Dynamic (Living States/Inventory)
Real-time and near-real-time inventory and operational status data.
Read articleL4: External (Market Sensors/RERA/DLD)
External regulatory and market intelligence feeds enriching internal decisioning context.
Read articleL5: Raw (Unprocessed Extraction)
Raw ingestion staging layer for unprocessed inputs before normalization.
Read articleMarket Scoring
Market Scoring Signals
Core objective signals used to evaluate opportunity quality and timing.
Read articleTiming Signals (Entry/Exit Windows)
Signals that indicate attractive entry, hold, and exit timing windows.
Read articleStress Resilience (Grade A-F)
Resilience grading that estimates downside behavior under stress conditions.
Read articleVerified Gross Yield
Yield metric anchored in verified inputs for transparent return comparisons.
Read articleData Confidence Level
Confidence indicator combining completeness, freshness, and source agreement.
Read articleBroker Dashboard
Broker Dashboard Features
Execution-facing feature stack for brokers using intelligence in production workflows.
Read articleAI Assistant (Gemini 1.5)
Conversational co-pilot for explanation, analysis support, and operational guidance.
Read articleBrochure-to-Listing Automation
Automation flow that turns brochure assets into structured listing entries.
Read articleAI Lead Scoring (Hot/Warm/Cold)
Lead prioritization model for conversion-focused sales operations.
Read articleSales Communication Coach
Coaching assistant for better message quality and stage-appropriate communication.
Read articleMarket Intelligence Analytics
Analytical layer surfacing market movement, opportunity clusters, and risk context.
Read articleCore Data Objects
Core Data Objects
Canonical data contracts that power platform logic, APIs, and user-facing artifacts.
Read articleTime Table (Atomic Intelligence Unit)
Primary intelligence container for scoped datasets, metrics, and decision context.
Read articleTableSpec (Query Blueprint)
Deterministic query blueprint generated from intent and profile constraints.
Read articleDecision Objects (Outcome Artifacts)
Generated outputs used for communication, approvals, and execution handoff.
Read articleProfile Intelligence (User Preferences)
Preference memory and personalization model that shapes ranking and communication.
Read articleData & Information
Data & Information
Governance layer for source reliability, ownership, and investor-ready data communication.
Read articleDubai Land Department (DLD)
Regulatory and transaction authority context used for market validation and trust.
Read articleStakeholders
Stakeholder map for platform operators, partners, regulators, and investors.
Read articleInvestor Relations
Investor communication structure, diligence framing, and traction reporting standards.
Read article