INSERT INTO simulations (holon_id, simulation_type, outcome)
VALUES
('53a3206c-640b-4264-882f-2e1eaf372c5c', 'Governance', 'Pending'),
('747cb39e-432e-409a-afdd-f7cff51f1e79', 'Resource Flow', 'Needs Adjustment'),
('38ea582e-5f12-439b-bd87-d6e34c3fa1e1', 'Decision-Making', 'Successful');
These rows serve as foundational test runs in your holonic network. They allow you to:
Display simulation history in your Lovable app Track how each holon has performed across simulation types Build analytics (e.g., simulation outcome stats by holon or governance level) Trigger automations or governance responses based on simulation outcomes Seed future proposals based on simulation feedback
🧠 What You Can Do With Them Next
Visualize simulation outcomes Use color or icons to show Pending / Needs Adjustment / Successful Tie simulations to proposal logic If outcome = "Needs Adjustment" → auto-generate governance proposal Update outcome fields as your simulation logic evolves (e.g., "Pending" → "Successful") Track simulation metadata Later you can add fields like duration, version, or notes to refine modeling
