Operator Grammar — Philanthropy & Funding Transparency Module
This file defines the RTT operator grammar used to analyze, map, and correct philanthropic funding flows.
These operators allow donors, organizations, auditors, and AI agents to speak a shared structural language.
1. Core Operators (Funding Flow)#
FLOW(src → dst)#
Maps the movement of funds from one node to another.
Used for: donor → foundation → intermediary → NGO → beneficiary.
Example:
FLOW(DonorA → FoundationB)
LOAD(node)#
Measures the structural load placed on a node (financial, administrative, governance).
Example:
LOAD(LocalPartnerX)
LEAK(node)#
Identifies points where funds are lost, diluted, or diverted.
Example:
LEAK(IntermediaryY)
CONVERT(input → output)#
Maps how funds are transformed (e.g., money → overhead, money → services).
Example:
CONVERT($1M → $600k programs)
ROUTE(path)#
Describes the full multi-layer path of funds.
Example:
ROUTE(Donor → Foundation → NGO → Subcontractor → Community)
2. Regime Operators (Authority, Narrative, Emotional, Structural)#
REG(type)#
Tags the dominant regime influencing a decision or flow.
Types:
- AUTH (authority)
- NAR (narrative)
- EMO (emotional)
- STR (structural)
Example:
REG(NAR) — impact story driving funding
DRF(type)#
Detects drift between stated purpose and actual behavior.
Types:
- mission
- financial
- governance
- reporting
Example:
DRF(financial)
ALN(target)#
Measures alignment between intent, flow, and outcome.
Example:
ALN(ProgramGoal)
COH(system)#
Evaluates coherence across nodes (donor, org, community).
Example:
COH(FundingChain)
3. Governance Operators#
GOV(node)#
Maps governance authority and decision rights.
Example:
GOV(Board)
SUB(node)#
Maps the governance substrate supporting or constraining flows.
Example:
SUB(FoundationStructure)
ACC(node)#
Measures accountability strength.
Example:
ACC(ExecutiveDirector)
VIS(node)#
Measures structural visibility (not narrative visibility).
Example:
VIS(ProgramBudget)
4. SET (Structural Energy Theory) Operators for Funding#
SET_IN(node)#
Energy (funding, incentives, mandates) entering a node.
SET_OUT(node)#
Energy leaving a node (services, grants, outcomes).
SET_LEAK(node)#
Energy lost to inefficiency, overhead, or misalignment.
SET_BAL(node)#
Balance between input and output.
5. Triadic Observer Operators (Signal / Noise / Regime)#
SIG(data)#
Extracts structural signal from reports, budgets, or narratives.
NOI(data)#
Identifies noise (PR, emotional appeals, branding).
CTX(data)#
Binds context to a claim or flow.
SYN(data)#
Produces a structural synthesis (AI summary).
6. Fraud & Misuse Operators (Structural, Not Accusatory)#
RED(flag)#
Flags structural red indicators (not moral judgments).
Examples:
- RED(related-party)
- RED(overhead > 50%)
- RED(flow-break)
OPA(node)#
Measures opacity level.
ASYM(node)#
Detects asymmetry between authority and accountability.
7. Donor Alignment Operators#
INTENT(donor)#
Maps donor’s stated purpose.
IMPACT(flow)#
Maps actual measurable outcomes.
GAP(intent ↔ impact)#
Measures divergence between donor intent and real-world results.
SCORE(donor)#
Produces an alignment score (AI-generated).
8. Flow Integrity Operators#
TRACE(path)#
Ensures every step of the flow is visible.
MAP(system)#
Generates a full structural map of flows, regimes, and drift.
CHECK(node)#
Performs a structural integrity check.
FIX(node)#
Recommends structural corrections.
Summary#
These operators form the structural grammar of the Philanthropy & Funding Transparency module.
They allow all actors — donors, organizations, auditors, communities, and AI agents — to analyze funding flows using a shared, triadic, RTT-aligned language.
This grammar is the foundation of the module’s clarity engine.