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closed-loop-pipeline.cal
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42 lines (37 loc) · 1.06 KB
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-- ================================================
-- Cormorant Agentic Language (CAL)
-- Example: Full Closed-Loop Intelligence Pipeline
--
-- Sense → Analyze → Measure → Decide → Act
-- ================================================
-- LAYER 1: SENSE
-- Find affected entities with high urgency signals
FORAGE entities
WHERE sound > 7
AND impact = "high"
ACROSS D1, D2, D3, D5, D6
DEPTH 3
SURFACE cascade_map
-- LAYER 2: ANALYZE
-- Deep dive into the cascade
DIVE INTO revenue
WHEN decline > 50
TRACE cascade
EMIT impact_analysis
-- LAYER 3: MEASURE (DRIFT)
-- Measure the gap between methodology and performance
DRIFT cascade_map
METHODOLOGY 85
PERFORMANCE 35
-- LAYER 4: DECIDE (FETCH)
-- Determine action based on Fetch score
-- Fetch = Chirp × |DRIFT| × Confidence
FETCH cascade_map
THRESHOLD 1000
ON EXECUTE CHIRP critical "Immediate action required - cascade in progress"
ON CONFIRM CHIRP warning "Review recommended before action"
ON QUEUE SURFACE queue_report
ON WAIT PERCH ON segment:"monitor"
-- LAYER 5: ACT
-- Output final results
SURFACE results AS json