Pricing Configuration

Configure how much you earn when people interact with your Deva. This guide covers the pricing slider, earnings splits, and pricing strategy.

Where to find it: Settings → Deva tab → Scroll to bottom


Price Per Response

The pricing slider controls your markup percentage—how much extra users pay on top of the platform cost.

Deva pricing configuration

How the Slider Works

Range: 0% to 600%

  • 0%: At-cost pricing (you earn minimum, users pay least)

  • 30%: Default recommended markup (balanced)

  • 100%: Double the platform cost

  • 600%: Maximum markup (premium pricing)

What it controls: The percentage added to Deva's platform cost (which already includes AI provider costs + platform markup).

Note: The platform cost includes a 1.85× multiplier (85% markup) that covers AI provider bills, infrastructure, and operations. Your creator markup is added on top of this platform cost.

Example:

  • Raw AI cost: 2,703 ₭ (what the LLM provider charges)

  • Platform cost: 5,000 ₭ (2,703 × 1.85 platform markup)

  • Your markup: 30%

  • Creator markup amount: 1,500 ₭ (5,000 × 0.30)

  • User pays: 6,500 ₭ total (5,000 + 1,500)

  • Margin pot: 1,500 ₭ (split among you, trainers, referrers, and platform)


Understanding the Cost Breakdown

When you adjust the slider, you'll see a detailed breakdown of where the Karma goes.

Cost Components

The platform shows you exactly how each interaction's cost is distributed:

Estimated Cost To User

The total Karma the user pays for one response from your Deva.

Example: 6,500 ₭

This is: Platform cost + (Platform cost × Your markup %)

Total Margin Pot

The total earnings pool generated by your markup, split among contributors.

Example: 1,500 ₭

This is: (Platform cost × Your markup %)

Important: The margin pot shown assumes Gold karma payment. Actual earnings vary significantly by karma type (see below).

The Splits

Revenue from your markup is divided among several parties:

Trainer Split (6% of margin pot):

  • What: Earnings for people who create response variants for your Deva

  • Example: 90 ₭ (1,500 × 0.06)

  • When it applies: Only if you have "Has Trainers" enabled

Referrer Split (Up to 24% of margin pot):

  • What: Earnings for people who refer users to your Deva

  • Example: 360 ₭ (1,500 × 0.16 + 1,500 × 0.08 for 2 referrers)

  • First referrer: 16% of margin (240 ₭)

  • Second referrer: 8% of margin (120 ₭)

  • When it applies: Based on referral chain

Builder Split (Platform's share of margin pot):

  • What: Platform's portion of the margin pot

  • Gold/Silver karma: 50% of remaining margin after trainer/referrer splits

  • Bronze karma: 0% (full remaining margin goes to creator, but pot is 95% smaller)

  • Example (Gold): (1,500 - 90 - 360) × 0.5 = 525 ₭

  • Note: This is only part of total platform revenue (see below)

Creator Split (Your earnings from margin pot):

  • What: Your share of the margin pot after trainer/referrer splits

  • Gold/Silver karma: 50% of remaining margin

  • Bronze karma: 100% of remaining margin (but pot is 95% smaller)

  • Example (Gold): (1,500 - 90 - 360) × 0.5 = 525 ₭

  • Example (Bronze): (1,500 × 0.05 - splits) ≈ 38 ₭

  • Always applies: Yes, this is what you earn from your markup


Understanding Total Platform Revenue

Important: The "Builder Split" shown above (525 ₭) is only the platform's share of your margin pot. The platform's total revenue is much larger:

Total Platform Revenue (Two components):

  • Part 1 - Base Markup: 2,297 ₭ (the 85% markup on raw AI costs: 2,703 × 0.85)

    • This covers: AI provider bills, infrastructure, servers, operations

  • Part 2 - Builder Split: 525 ₭ (platform's share from your margin pot)

  • Total Platform Revenue (Gold): 2,297 + 525 = 2,822 ₭

The platform needs the base markup to cover actual AI costs and infrastructure before any margin is split among trainers, referrers, and creators.


Real Example Calculation

Let's break down a complete example with GOLD KARMA (maximum earnings):

Scenario

  • Raw AI cost: 2,703 ₭ (what LLM provider charges)

  • Platform cost: 5,000 ₭ (2,703 × 1.85)

  • Your markup: 30%

  • Has Trainers: Enabled

  • Payment type: Gold Karma (highest earnings)

  • Referrers in chain: 2

The Math

User pays:

Margin pot to split:

Distribution (Gold/Silver karma):

Your take-home (Gold karma): 525 ₭ per response

Your take-home (Bronze karma): ~38 ₭ per response (5% of margin pot, after splits)

Platform's Total Revenue

The platform keeps:

  • Base markup: 2,297 ₭ (covers actual AI costs + infrastructure)

  • Builder Split: 525 ₭ (platform's share from your margin)

  • Total platform: 2,822 ₭

This covers AI provider bills, servers, development, support, and operations.


Advanced Options

Has Trainers

What it does: Enables other users to propose alternative responses (variants) for your Deva.

When ON (Trainers Enabled)

Your Deva allows community-contributed response variants.

Use cases:

  • You want community help improving responses

  • You're okay sharing 6% of margin with contributors

  • You want diverse response options

Earnings impact:

  • Trainers get 6% of margin pot

  • Example: If margin = 1,500 ₭, trainers get 90 ₭

  • Your share is slightly reduced

When OFF (No Trainers)

You have full control over all responses.

Use cases:

  • You want complete control over responses

  • You want maximum earnings (no 6% trainer split)

  • Your Deva is highly specialized and requires expert-only responses

Earnings impact:

  • No trainer split

  • You keep the full creator share


Number of Referrers

What it does: Determines how the referral chain is rewarded when users are referred to your Deva.

How it works:

  • First referrer (direct): Gets 16% of margin pot (240 ₭ in our example)

  • Second referrer (indirect): Gets 8% of margin pot (120 ₭ in our example)

  • Total referral cost: Up to 24% of margin (360 ₭ in our example)

Example referral chain:

Choose to Enable Referrals When:

  • You want viral growth

  • You're willing to share earnings for more users

  • You're building a new Deva and need traction

Choose to Limit Referrals When:

  • You want higher per-response earnings

  • You already have steady traffic

  • Referral bonuses aren't important to your strategy


Impact on earnings: Referrers reduce your share by up to 24% of the margin pot, but can significantly increase volume.


Pricing Strategy Guide

Finding Your Sweet Spot

Too Low (0-10%)

Pros:

  • Attracts maximum users

  • Builds audience fast

Cons:

  • You earn very little per response

  • 0% markup = 0 ₭ earnings

Best for:

  • New Devas

  • Building reputation

Reality:

  • 0% = 0 ₭ earnings

  • 10% = ~58 ₭ (Gold) or ~3 ₭ (Bronze) per response


Balanced (20-50%)

Pros:

  • Reasonable earnings per response

  • Still affordable for most users

Cons:

  • Still relatively low with Bronze karma

Best for:

  • Most Devas

  • Recommended starting point

Reality:

  • 30% = ~525 ₭ (Gold) or ~38 ₭ (Bronze) per response


Premium (100-300%)

Pros:

  • Meaningful earnings per response

  • Attracts users willing to pay for quality

Cons:

  • Fewer users will pay

  • Must justify higher value

Best for:

  • Expert Devas

  • Niche specializations

Reality:

  • 100% = ~1,750 ₭ (Gold) or ~125 ₭ (Bronze) per response


Ultra-Premium (400-600%)

Pros:

  • Maximum earnings if users convert

  • Premium positioning

Cons:

  • Very few users will pay

  • Must be exceptional

Best for:

  • Celebrity Devas

  • Rare expertise

Reality:

  • 600% = ~10,500 ₭ (Gold) or ~750 ₭ (Bronze) per response


Volume vs. Earnings Trade-off

Lower pricing = More users × Lower earnings = Variable total

Higher pricing = Fewer users × Higher earnings = Variable total

Example comparison (assuming 80% Bronze, 20% Gold karma mix):

Scenario A: 30% markup

  • 100 responses/month × [(80 × 38 ₭) + (20 × 525 ₭)] / 100 = 135.4 ₭ avg

  • Total: 100 × 135.4 ₭ = 13,540 ₭/month

Scenario B: 150% markup

  • 30 responses/month × [(80 × 188 ₭) + (20 × 2,625 ₭)] / 100 = 675.4 ₭ avg

  • Total: 30 × 675.4 ₭ = 20,262 ₭/month

Scenario B earns more despite fewer responses, but requires proving exceptional value to maintain that volume at higher prices.


Phase 1 (Month 1-2): Discovery Pricing

  • Set markup: 20-30%

  • Enable trainers: Yes

  • Enable referrals: Yes (for growth)

  • Goal: Build audience, get feedback

  • Expected: Low per-response earnings, focus on volume and learning

Phase 2 (Month 3-6): Value Pricing

  • Set markup: 50-100%

  • Keep trainers if helpful

  • Keep referrals if driving growth

  • Goal: Monetize proven value

  • Expected: Moderate earnings, balance volume vs. price

Phase 3 (Month 7+): Optimized Pricing

  • Test different markups systematically

  • Track: (responses × avg_earnings) = total_monthly_income

  • Consider karma type mix in your analytics

  • Adjust based on demand elasticity

  • Goal: Maximize total monthly earnings

Key metric to track: Total monthly income, not per-response earnings


Common Pricing Mistakes

Mistake #1: Pricing Too High Too Early

Problem:

  • Users don't know your value yet

  • No proven track record

Solution:

  • Start competitive (20-30%)

  • Raise prices as you prove worth

  • Build trust before premium pricing


Mistake #2: Never Raising Prices

Problem:

  • If you're getting lots of responses, you're likely underpriced

  • Leaving money on the table

Solution:

  • Gradually increase markup as demand proves value

  • Test higher prices with proven demand

  • Track how pricing affects volume


Mistake #3: Ignoring the Competition

Problem:

  • Don't know what similar Devas charge

  • Not pricing relative to quality and uniqueness

Solution:

  • Research competitor pricing

  • Differentiate on value

  • Price based on your unique positioning


Mistake #4: Optimizing for Per-Response Earnings, Not Total Income

Problem:

  • High per-response earnings mean nothing if volume tanks

  • Focusing on wrong metric

Solution:

  • Optimize total_monthly_responses × average_earnings = total_income

  • Track total monthly income, not just per-response

  • Balance price and volume


Mistake #5: Forgetting About Karma Type Mix

Problem:

  • Your earnings depend heavily on users' payment patterns

  • Bronze vs. Gold makes huge difference

Solution:

  • Track what % of payments are Bronze vs. Silver vs. Gold

  • Premium Devas get more Gold karma payments

  • Adjust strategy based on actual karma mix


Pricing Examples by Deva Type

General Knowledge Deva

  • Markup: 30-50%

  • Rationale: Competing with many generalist Devas

  • Focus: Volume over premium pricing

Specialized Expert Deva

  • Markup: 80-150%

  • Rationale: Unique expertise, less competition

  • Focus: Value justifies higher price

Celebrity/Influencer Deva

  • Markup: 200-400%

  • Rationale: Brand value, fans more likely to use Gold karma

  • Focus: Premium experience, merchandise-like pricing



Remember: Pricing is an ongoing experiment. Start reasonable, prove exceptional value, then optimize based on real data. The best price is the one that maximizes your total monthly earnings (volume × actual_average_per_response)—not necessarily the highest markup percentage.

Track what matters:

  • Total monthly responses

  • Karma type distribution (Bronze/Silver/Gold %)

  • Actual average earnings per response

  • Total monthly income

The goal isn't to maximize the calculator's number—it's to build a Deva valuable enough that users choose to spend their premium karma on it.

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