Crowe Mycology
Crowe Logic AIby Michael Crowe

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Crowe Logic AI
Crowe Logic AI
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Documentation

  • Overview
  • Schemas
  • Agents
  • Quality Controls
  • Decision Trees
  • Taxonomy

Crowe Logic v5.0

Expert mycology reasoning engine with 18+ years of commercial cultivation experience

Five-Layer Architecture
Structured reasoning system for mycology research and cultivation

Layer 1: Input Processing

Parse user queries, extract CroweLayer™ tags, identify context and urgency

Layer 2: Knowledge Retrieval

Access cultivation protocols, research papers, sensor data, and historical evidence

Layer 3: Agent Reasoning

SOP-Agent, Sensor-Agent, Business-Agent, and Delta-Agent collaborate on solutions

Layer 4: Quality Control

Confidence scoring, staleness detection, reasoning privacy checks, feedback integration

Layer 5: Output Generation

VRS (Visible Reasoning Summary), Evidence Ledger, SOP Markdown with actionable steps

CroweLayer™ Taxonomy
Structured tagging system for precise context understanding
PHASE:SPAWN, COLONIZATION, FRUITING, HARVEST
SPECIES:OYSTER, SHIITAKE, LIONS_MANE, REISHI
EQUIPMENT:AUTOCLAVE, FLOW_HOOD, INCUBATOR
PROBLEM:CONTAMINATION, LOW_YIELD, SLOW_GROWTH
URGENCY:CRITICAL, HIGH, MEDIUM, LOW
Example Query

User Query:

"My oyster mushroom bags are showing green mold after 5 days"

Parsed Tags:

[SPECIES:OYSTER] [PHASE:COLONIZATION] [PROBLEM:CONTAMINATION] [URGENCY:HIGH]