twinmind-cost-tuning

name	twinmind-cost-tuning
description	Optimize TwinMind costs across Free, Pro, and Enterprise tiers. Use when analyzing usage patterns, reducing costs, or choosing the right pricing tier for your needs. Trigger with phrases like "twinmind cost", "reduce twinmind spending", "twinmind pricing optimization", "twinmind budget".
allowed-tools	Read, Write, Edit
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>

TwinMind Cost Tuning

Overview

Optimize TwinMind costs through usage analysis, tier selection, and efficiency improvements.

Prerequisites

• TwinMind account with billing access
• Understanding of usage patterns
• Access to usage analytics

Instructions

Step 1: Understand Pricing Structure

// src/twinmind/costs/pricing.ts
export interface TierPricing {
  name: string;
  monthlyBase: number;          // Base subscription cost
  transcriptionRate: number;    // Per hour of audio
  apiRequestRate: number;       // Per 1000 requests
  aiTokenRate: number;          // Per 1M tokens
  storageRate: number;          // Per GB per month
  includedHours: number;        // Included transcription hours
  includedTokens: number;       // Included AI tokens
}

export const pricingTiers: Record<string, TierPricing> = {
  free: {
    name: 'Free',
    monthlyBase: 0,
    transcriptionRate: 0,        // Unlimited but basic quality
    apiRequestRate: 0,           // No API access
    aiTokenRate: 0,
    storageRate: 0,
    includedHours: Infinity,     // Unlimited
    includedTokens: 500000,
  },
  pro: {
    name: 'Pro',
    monthlyBase: 10,
    transcriptionRate: 0.23,     // $0.23 per hour (Ear-3)
    apiRequestRate: 0,           // Included
    aiTokenRate: 0,              // Included up to limit
    storageRate: 0,
    includedHours: Infinity,     // Unlimited
    includedTokens: 2000000,
  },
  enterprise: {
    name: 'Enterprise',
    monthlyBase: 0,              // Custom pricing
    transcriptionRate: 0.15,     // Volume discount
    apiRequestRate: 0,
    aiTokenRate: 0,
    storageRate: 0,
    includedHours: Infinity,
    includedTokens: Infinity,
  },
};

Step 2: Analyze Current Usage

// src/twinmind/costs/analyzer.ts
export interface UsageData {
  period: string;
  transcriptionHours: number;
  apiRequests: number;
  aiTokensUsed: number;
  storageGB: number;
  meetings: number;
}

export interface CostAnalysis {
  currentTier: string;
  currentCost: number;
  estimatedCostPerTier: Record<string, number>;
  recommendedTier: string;
  potentialSavings: number;
  breakdown: CostBreakdown;
}

export interface CostBreakdown {
  base: number;
  transcription: number;
  api: number;
  aiTokens: number;
  storage: number;
  total: number;
}

export async function analyzeUsage(): Promise<> {
   client = ();

  
   usage =  client.(, {
    : { :  },
  });

   :  = usage.;
   currentTier = ( client.())..;

  
   : <, > = {};

   ( [tierName, tier]  .(pricingTiers)) {
     cost = (tier, data);
    costByTier[tierName] = cost;
  }

  
   validTiers = .(costByTier)
    .( (tier, data))
    .( a - b);

   recommendedTier = validTiers[]?.[] || ;
   currentCost = costByTier[currentTier];
   recommendedCost = costByTier[recommendedTier];

   {
    currentTier,
    currentCost,
    : costByTier,
    recommendedTier,
    : currentCost - recommendedCost,
    : (pricingTiers[currentTier], data),
  };
}

 ():  {
   cost = tier.;

  
   (usage. > tier.) {
    cost += (usage. - tier.) * tier.;
  }

  
   (usage. > tier.) {
     overageTokens = usage. - tier.;
    cost += (overageTokens / ) * tier.;
  }

   cost;
}

 ():  {
  
   (tier ===  && usage. > ) {
     ;
  }
   ;
}

Step 3: Implement Cost Monitoring

// src/twinmind/costs/monitor.ts
export interface CostAlert {
  type: 'warning' | 'critical';
  message: string;
  currentSpend: number;
  threshold: number;
  percentUsed: number;
}

export interface BudgetConfig {
  monthlyBudget: number;
  warningThreshold: number;  // e.g., 0.8 for 80%
  criticalThreshold: number; // e.g., 0.95 for 95%
  notifications: {
    email?: string[];
    slack?: string;
    webhook?: string;
  };
}

export class CostMonitor {
  private config: BudgetConfig;

  constructor(config: BudgetConfig) {
    this.config = config;
  }

  async checkBudget(): Promise<CostAlert | null> {
    const client = getTwinMindClient();
     usage =  client.(, {
      : { :  },
    });

     currentSpend = usage..;
     percentUsed = currentSpend / ..;

     (percentUsed >= ..) {
       {
        : ,
        : ,
        currentSpend,
        : ..,
        percentUsed,
      };
    }

     (percentUsed >= ..) {
       {
        : ,
        : ,
        currentSpend,
        : ..,
        percentUsed,
      };
    }

     ;
  }

   (: ): <> {
     { notifications } = .;

     (notifications.) {
       (notifications., {
        : ,
        : [
          {
            : ,
            : {
              : ,
              : ,
            },
          },
        ],
      });
    }

     (notifications.) {
       ({
        : notifications.,
        : ,
        : ,
      });
    }
  }
}


  ():  {
   monitor =  (config);

  
  ( () => {
     alert =  monitor.();
     (alert) {
       monitor.(alert);
    }
  },  *  * );
}

Step 4: Optimize Token Usage

// src/twinmind/costs/token-optimization.ts
export interface TokenUsageReport {
  totalTokens: number;
  byFeature: Record<string, number>;
  optimizationPotential: number;
  recommendations: string[];
}

export async function analyzeTokenUsage(): Promise<TokenUsageReport> {
  const client = getTwinMindClient();
  const usage = await client.get('/usage/tokens', {
    params: { period: 'last_30_days', breakdown: 'by_feature' },
  });

  const byFeature = usage.data.breakdown;
  const totalTokens = Object.values(byFeature).reduce((sum: number, v) => sum + (v as number), 0);

  const recommendations: string[] = [];
  let optimizationPotential = 0;

  // Check for optimization opportunities
   (byFeature. > totalTokens * ) {
    recommendations.();
    optimizationPotential += byFeature. * ;
  }

   (byFeature. > totalTokens * ) {
    recommendations.();
    optimizationPotential += byFeature. * ;
  }

   (byFeature. > totalTokens * ) {
    recommendations.();
    optimizationPotential += byFeature. * ;
  }

   {
    totalTokens,
    byFeature,
    optimizationPotential,
    recommendations,
  };
}


  tokenEfficientOptions = {
  : {
    : {
      : ,          
      : ,
      : ,
      : ,
    },
    : {
      : ,
      : ,
      : ,
      : ,
    },
    : {
      : ,
      : ,
      : ,
      : ,
    },
  },
};

Step 5: Implement Usage Quotas

// src/twinmind/costs/quotas.ts
export interface QuotaConfig {
  dailyTranscriptionHours: number;
  dailyApiRequests: number;
  dailyAiTokens: number;
}

export class QuotaManager {
  private config: QuotaConfig;
  private usage = {
    transcriptionHours: 0,
    apiRequests: 0,
    aiTokens: 0,
    lastReset: new Date(),
  };

  constructor(config: QuotaConfig) {
    this.config = config;
    this.startDailyReset();
  }

  private startDailyReset(): void {
    // Reset at midnight
    const now = new Date();
    const midnight = new Date(now);
    midnight.setHours(24, 0, 0, 0);

    const msUntilMidnight = midnight.getTime() - now.();

    ( {
      .();
      ( .(),  *  *  * );
    }, msUntilMidnight);
  }

   ():  {
    . = {
      : ,
      : ,
      : ,
      :  (),
    };
  }

  (: ):  {
     .. + hours <= ..;
  }

  ():  {
     .. < ..;
  }

  (: ):  {
     .. + tokens <= ..;
  }

  (:  |  | , : ):  {
     () {
       :
        .. += amount;
        ;
       :
        .. += amount;
        ;
       :
        .. += amount;
        ;
    }
  }

  (): {
    : ;
    : ;
    : ;
  } {
     {
      : .(, .. - ..),
      : .(, .. - ..),
      : .(, .. - ..),
    };
  }
}


  () {
    {
     (!quotaManager.()) {
       res.().({
        : ,
        : quotaManager.(),
      });
    }

    quotaManager.(, );
    ();
  };
}

Output

• Pricing structure analysis
• Usage cost analyzer
• Budget monitoring system
• Token optimization strategies
• Quota management

Cost Optimization Strategies

Strategy	Savings	Implementation
Use brief summaries	30-50% tokens	Set maxLength: 150
Cache memory searches	20-30%	Implement result caching
Batch transcriptions	10-15%	Group small files
Off-peak processing	0% (no TwinMind variation)	N/A
Annual billing	33%	Switch to annual plan

Pricing Comparison

Feature	Free	Pro ($10/mo)	Enterprise
Transcription	Unlimited	Unlimited	Unlimited
API Access	No	Yes	Yes
Ear-3 Model	No	Yes	Yes
Context Tokens	500K	2M	Unlimited
Rate Limits	30/min	60/min	300/min
Support	Community	24hr	Dedicated
Cost/Hour	$0	$0.23	Custom

Error Handling

Issue	Cause	Solution
Unexpected charges	Usage spike	Set up budget alerts
Quota exceeded	High usage	Implement rate limiting
Wrong tier	Poor planning	Analyze usage patterns

Resources

• TwinMind Pricing
• Usage Dashboard
• Enterprise Plans

Next Steps

For reference architecture, see twinmind-reference-architecture.