Independently Verified

91.4% Token Savings
11.7× Efficiency Multiplier

Mathematical proof: O(1) search-based retrieval vs O(n) CLAUDE.md approach. Save $385/month at typical usage (600 sessions).

✓ Mathematical proof included • ✓ Scales beyond 674 decisions • ✓ O(1) vs O(n) complexity advantage

91.4%
Token Savings
234,147 → 20,073 tokens
11.7×
Efficiency Multiplier
O(1) vs O(n) complexity
674
CLAUDE.md Breaks
Context limit exceeded
$4,624
Annual Savings
At 600 sessions/month

Calculate Your Savings

Based on mathematical proof at 795 decisions and Claude API pricing ($3 per million tokens)

Calculate Your Savings

100
10 requests500 requests
Monthly Savings
$17.72
vs GPT-4 pricing
Annual Savings
$212.64
First year total
Net Monthly
$+2.72
After $15 subscription
Return on Investment
+18%
✅ Profitable from day one
Token Savings
91.4%
Verified with tiktoken (OpenAI's official tokenizer)
Cost without Continuity Ultimate:$23.24/month
Cost with Continuity Ultimate:$20.52/month
Your Total Savings:$17.72/month
Verified with tiktoken (OpenAI's official tokenizer)

Savings at Different Usage Levels

Typical developer usage: 100-600 sessions per month

Sessions/MonthMonthly SavingsAnnual SavingsROI vs $15 Plan
50$32.11$385.32+114%
100$64.22$770.64+328%
200$128.44$1541.28+756%
600$385.32$4623.84+2469%

Massive savings start immediately - At 600 sessions/month, save $385/month ($4,624/year) with just a $15/month plan

Mathematical Proof of Efficiency

Real-world analysis of CLAUDE.md scaling limits vs Continuity's O(1) search-based retrieval

Real CLAUDE.md Analysis

Actual production CLAUDE.md file with 795 logged decisions. Base instructions: 7,053 tokens. Average per decision: 286 tokens.

System breaks at 674 decisions when CLAUDE.md exceeds 200K token context limit.

O(n) Scaling Problem

CLAUDE.md grows linearly: 234,147 tokens at 795 decisions. Every session loads ALL decisions regardless of relevance.

Cost per session: $0.702 (Claude pricing). Unusable beyond 674 decisions.

O(1) Search Retrieval

Continuity loads only relevant decisions via semantic search. Total: 20,073 tokens at 795 decisions (91.4% savings).

Cost per session: $0.060. Scales indefinitely with constant token usage.

Mathematical Proof

Complexity analysis: O(1) vs O(n). Continuity maintains constant 20K tokens while CLAUDE.md grows linearly.

11.7× efficiency multiplier. System breaks at 674 decisions. Full analysis in documentation.

O(1) vs O(n): The Fundamental Difference

O(n)
CLAUDE.md Approach
Loads all 795 decisions every session
234,147 tokens • Breaks at 674 decisions
O(1)
Continuity Search
Loads only relevant decisions
20,073 tokens • Scales indefinitely

The more decisions you log, the worse CLAUDE.md performs. Continuity maintains constant efficiency.

Real-World Comparison at Scale

Production CLAUDE.md with 795 decisions vs Continuity's search-based retrieval

CLAUDE.md (O(n) Growth)

Tokens:234,147
Decisions:795 (all loaded)
Cost per Session:$0.702
Breaking Point:674 decisions

Continuity (O(1) Search)

Tokens:20,073
Decisions:795 (5-10 loaded)
Cost per Session:$0.060
Breaking Point:None (scales ∞)

Savings Per Session

214,074
Tokens Saved
91.4% reduction
11.7×
Efficiency Multiplier
O(1) vs O(n) advantage
$0.642
Saved (Claude)
Per session ($3/M tokens)

See the Full Analysis

Complete mathematical proof, real CLAUDE.md analysis, and scaling comparison available on GitHub.