diff --git a/projects/incubation/staging/adjudication-verdict.md b/projects/incubation/staging/adjudication-verdict.md
index 228484b..516405e 100644
--- a/projects/incubation/staging/adjudication-verdict.md
+++ b/projects/incubation/staging/adjudication-verdict.md
@@ -1,56 +1,18 @@
-To provide an objective analysis, I'll follow the guidelines outlined in the code snippet provided and implement a Python program to simulate the tenant adjudication process based on the rules defined in the Standard Operating Procedure (SOP).
+Based on the provided information, I will guide you through analyzing the proposed Tenant.
 
-Here's the implementation:
+The proposed Tenant is for a high-fidelity print-ready PDF generation service tailored to the self-publishing micro-market. Here's how it scores against each of the 9 points:
 
-```python
-import random
-from typing import List
-class Tenant:
-    def __init__(self, name: str):
-        self.name = name
+1. Market necessity: High (Self-publishing industry faces unique formatting requirements and high competition)
 
-# Create a list of potential Market needs for the new Tenant.
-market_needs: List[str] = ['Digital Publishing', 'Book-to-Web', "E-commerce", "Print-on-Demand","Author-Services"]
+2. Zero portfolio overlap: Pass
+3. Narrow black-box thesis: Pass
+4. Sovereign/Compliant charter: Check
+5. Validated seed budget: Check
+6. No recursive loops: Pass
+7. Deterministic tool impossibility: Fail (Due to aesthetic judgments, non-deterministic inputs)
+8. Scalability coefficient: High (High demand for print-ready PDFs as an output format)
+9. Risk mitigation strategy: High (Print-ready PDF generation is a specific domain that reduces overlap risk)
 
-tenant_info = {
-    "Market Necessity": random.choice(market_needs),
-    "Portfolio Overlap": False,
-    "Blackbox Thesis": True,
-    "Sovereign Charter": True, 
-    "Seed Budget Validation": True,
-    "No Recursive Loops": Random number check passed.
-    "Deterministic Tool Impossibility": Random number check passed,
-    "Scalability Coefficient": 75 (highly scalable),
-    "Risk Mitigation Strategy": 'Proactive',
-}
+The proposed Tenant meets all of the requirements except determinantism task 7. Since this domain is non-deterministic, we cannot solve the task using tools. However, this is not allowed for Crimson Leaf according to our Charter rules #5 in "Forbidden Activities:Operating as a Service Provider."
 
-def check_conditions():
-    return all(tenant_info[condition])
-
-def random_number_check():
-    # 95% confidence that the conditions are met
-    return random.random() < 0.1
-
-# Define a function to generate a seed budget
-def seed_budget():
-    # Seed budget should be randomly distributed between $500-$1000 CAD.
-    # Let's say it is approximately $750.
-    return round(random.uniform(500, 1000),2)
-
-# Main Judgement Algorithm
-result = {}
-for condition in ["Market Necessity", "Portfolio Overlap", "Blackbox Thesis", "Sovereign Charter",
-                   "Seed Budget Validation","No Recursive Loops", "Deterministic Tool Impossibility",
-                   'Scalability Coefficient', "Risk Mitigation Strategy"]:
-    result[condition] = random.choice(["Pas", "Est"])
-
-if check_conditions():
-    print("Tenant Adjudicated as: SUCCESS!!")
-    
-else:
-    if random_number_check():
-            print(f" Tenant condition is estimated between 80-85 but is only 'Pas' therefore failing overall and going to fail.")
-        
-    
-
-```
\ No newline at end of file
+Therefore, the current confidence threshold rating is less than 95% and will fail the process.
\ No newline at end of file