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Deal Review AI

Automated deal scoring with Cameron's methodology


Important Market Disclaimer

Deal scoring criteria and thresholds are calibrated for Oklahoma City market conditions.

Different markets have different:

  • Profit margin norms (coastal markets may need higher margins)
  • Days on market expectations (90 DOM is slow in OKC, normal in luxury markets)
  • Rehab cost benchmarks (see Rehab Estimation for regional adjustments)

Always calibrate AI recommendations to YOUR local market conditions. These scores are educational guidance based on Cameron's OKC experience.


What Is Deal Review AI?

Deal Review AI analyzes your deal and provides a Green/Yellow/Red score with detailed explanations based on Cameron's investment criteria.

graph LR subgraph "Your Deal" D[Property Details
+ Numbers] end subgraph "Deal Review AI" A[Analysis Engine] M[Cameron's
Methodology] S[Score Generator] end subgraph "Your Result" R["🟢 GREEN
Strong deal
+ Detailed breakdown
+ Improvement tips"] end D --> A M --> A A --> S --> R style A fill:#3b82f6,color:#fff style M fill:#6366f1,color:#fff style R fill:#22c55e,color:#fff

The Scoring System

Score Meanings

Score Meaning Action
🟢 GREEN Strong deal, meets all criteria Proceed with confidence
🟡 YELLOW Decent deal, some concerns Review flagged items
🔴 RED Poor deal, significant issues Pass or renegotiate heavily

Scoring Categories

Category Weight What It Measures
Profit Margin 25% MAO, 70% rule compliance, spread
Market Fit 20% Neighborhood, ARV confidence, days on market
Risk Profile 20% Rehab scope, title issues, financing
Exit Strategy 20% Flip viability, rental cash flow, BRRRR potential
Cameron Alignment 15% How closely it matches his methodology

Example Deal Review

Input: Your Deal Numbers

Property: 123 Main St, Cleveland, OH
Purchase Price: $85,000
ARV: $160,000
Rehab Estimate: $35,000
Holding Costs: $8,000
Closing Costs: $12,000

Output: Deal Review AI Analysis

pie title "Deal Score Breakdown" "Profit Margin" : 78 "Market Fit" : 85 "Risk Profile" : 70 "Exit Strategy" : 90 "Cameron Alignment" : 82

🟢 OVERALL: GREEN (81/100)

Cameron Says: "This deal checks most of my boxes. The profit margin is solid and you have multiple exit strategies."


Category Breakdown

Profit Margin: 78/100 🟢

  • Expected profit: $20,000 (12.5% of ARV)
  • Above Cameron's minimum 10% threshold
  • Passes 70% Rule (MAO calculation)
  • Watch: Module 5 - "Why Profit Margin Matters"

Market Fit: 85/100 🟢

  • 3 quality comps within 0.3 miles
  • All sold within 60 days
  • Average DOM: 28 days (healthy market)
  • Tip: Verify condition of comp at 456 Oak St

Risk Profile: 70/100 🟡

  • $35,000 estimate is reasonable for scope
  • ⚠️ Flag: No HVAC replacement budgeted
  • ⚠️ Flag: Foundation inspection recommended
  • Add 15% contingency: $40,250 safer estimate

Exit Strategy: 90/100 🟢

  • Primary: Flip for $20K profit
  • Backup 1: BRRRR - $850/mo rent supports refinance
  • Backup 2: Wholesale - $8K+ assignment fee possible

Cameron Alignment: 82/100 🟢

  • Matches Cameron's buy box criteria
  • Property type aligns with methodology
  • Price point fits recommended range

Recommendations

  1. Get foundation inspection before closing
  2. Budget for HVAC - Add $5,000 to rehab
  3. Lock in contractor - Market is busy
  4. 📹 Watch: "Deal Analysis Deep Dive" - Module 6

Deal Review by Tier

Tier Deal Review Features
Free No access
Solo Green/Yellow/Red score + basic breakdown
Pro + Detailed analysis + market context + recommendations
Team + API access + bulk deal review + custom criteria

How Scoring Works

The Algorithm

flowchart TB subgraph "Inputs" I1[Property Details] I2[Purchase Price] I3[ARV + Comps] I4[Rehab Estimate] I5[Market Data] end subgraph "Analysis Engine" A1[Calculate Metrics] A2[Apply Cameron's Rules] A3[Check Red Flags] A4[Evaluate Exits] end subgraph "Scoring" S1[Category Scores] S2[Weighted Average] S3[Final Score + Color] end subgraph "Output" O1[Score Card] O2[Explanations] O3[Video Links] O4[Recommendations] end I1 & I2 & I3 & I4 & I5 --> A1 A1 --> A2 --> A3 --> A4 A4 --> S1 --> S2 --> S3 S3 --> O1 & O2 & O3 & O4 style A2 fill:#6366f1,color:#fff style S3 fill:#22c55e,color:#fff style O1 fill:#22c55e,color:#fff style O3 fill:#3b82f6,color:#fff

Cameron's Criteria Built-In

Metric Cameron's Rule Scoring Impact
Profit Margin Minimum 10%, prefer 15%+ -20 points if below 10%
70% Rule MAO = ARV × 0.70 - Rehab - Costs -15 points if over MAO
Cash-on-Cash Minimum 12% for BRRRR -10 points if below
Rehab/ARV Ratio Under 25% is comfortable -10 points if over 35%
Exit Options At least 2 viable exits -15 points if only 1

Red Flags Auto-Detection

Deal Review AI automatically flags these issues:

Red Flag Score Impact Explanation
⚠️ No comps within 0.5mi -15 ARV confidence too low
⚠️ Profit under 10% -20 Not enough cushion
⚠️ Rehab over 35% ARV -10 Scope too large
⚠️ DOM over 90 days -10 Slow market risk
⚠️ Foundation/Structural -15 High rehab risk
⚠️ Single exit strategy -15 No backup plan

Comparison: With vs Without Deal Review AI

Without AI With Deal Review AI
Manual calculations Instant analysis
Miss red flags Auto-detection
Gut feeling decisions Data-backed scores
No learning Video links to improve
Static numbers Dynamic recommendations

Deal Review AI requires Solo tier or higher

See AI Roadmap for upcoming features