Phase2: Governance Logic & Scenario Simulation
This phase activates core governance logic, feedback integration, and adaptive simulation—linking decision-making workflows, automation triggers, and systemic awareness into a unified operational layer.
1. Feedback-to-Proposal Pipeline
Capability: Convert high-urgency feedback into actionable governance items.
Supabase Schema: feedback → proposals (linked by submitted_by or holon_id) IF feedback.urgency = 'High' → create draft proposal Notify governance holons for review Outcome: Accelerates response to systemic signals; activates community-led governance via structured escalation. 2. UX Flow: Proposal Creation Module
Provides a structured interface to initiate proposals directly from feedback or user input.
a.)Template Selection Interface
(🧾 Future: Funding Request, Policy Update, Event Launch) b.) Dynamic Form Generation
Title, Description, Created By (auto), Deadline, Proposal Type Project Proposal Template Fields: Project Name, Problem Statement, Objectives, Budget, Timeline, Stakeholders, Governance Layer, Voting Deadline c.) Form Submission Logic
Inserts into proposals table with associated schema Auto-links to submitting holon (submitted_by) Instantly visible in the governance voting interface 3. Auto-Quorum & Vote Resolution Engine
Capability: Dynamically resolve proposal outcomes based on quorum and vote logic.
Compute vote totals per proposal Threshold check: quorum %, token weight (optional) Status auto-updates to Approved or Rejected Add support for weighted voting, token-based quorum, or quadratic voting Outcome: Automates governance finalization, reduces friction, and supports advanced decision models. 4. Real-Time Simulation Monitoring
Capability: Track and respond to simulation states across holons.
Supabase: simulations table auto-updates outcome, updated_at, version Live cycle indicators (e.g., Pending, Success, Needs Adjustment) UI logic linking simulations → governance/resource triggers Outcome: Feedback-driven governance becomes visible and testable; simulation outcomes power adaptive decision-making. 5. Reflexive Governance Automation
Capability: Activate rule-based automation sequences that connect feedback, proposals, votes, and simulations into a reflexive governance loop.
feedback.urgency = 'High' → create draft proposal proposal.status = 'Approved' → trigger simulation simulation.outcome = 'Success' → initiate resource or task action Convert high-priority feedback into proposals Automatically transition approved proposals into simulations Trigger task activation or fund disbursement based on simulation results Outcome:
Establishes an intelligent, rule-driven system where governance decisions flow seamlessly from input to execution—minimizing latency, reducing manual intervention, and ensuring traceable, responsive coordination. Enabled System Behaviors
High-urgency feedback loops into proposals automatically Simulation cycles trigger governance or resource actions Governance outcomes resolve without manual overhead Proposals evolve from insight → decision → systemic action
Phase 2 - Governance Logic & Scenario Simulation