1. Executive Summary
One tradable token, one in-game resource, one controllable loop.
AI Mining Games is a browser-based mining game built around a single pump.fun token, $AIMG, and a non-transferable in-game resource, Hash. Players spend $AIMG on mining machines, rack expansion, maintenance, and acceleration. Machines produce Hash over time. Hash is used for progression, especially upgrades.
The game deliberately avoids a second on-chain reward token. Real token value only re-enters the player economy through configured leaderboard rewards and quest rewards, both capped and operator-controlled.
2. Product Architecture
Core loop, player state, and operator stack.
Default Player Bootstrap
Hash Accrual Rule
3. Token & Market Baseline
Exact baseline assumptions.
4. Machine Catalog
Machine Catalog uses fixed USD sale pricing with SOL checkout conversion and predictable output tiers.
Each machine keeps fixed base output and maintenance logic. Sale price is fixed in USD and converted to SOL at checkout, while internal token economics continue to govern sinks and rewards.
5. Progression & Upgrades
Hash-driven machine growth with exponential cost.
There is currently no hard level cap enforced in the game logic. Progression is constrained economically by rising Hash cost.
6. Spending Sinks
Precise token sinks stabilize progression and prize funding.
7. Reward Pool & Distribution
Every spend event is routed through an explicit split.
Claim Fee Rule
claim gross Hash = player.collectableHash
claim fee = gross Hash x 10%
net claim = gross Hash x 90%
claim fee -> distributed proportionally to all other players still holding Unclaimed Hash
Reward pool growth, burn pressure, operations funding, liquidity support, and the holder-vs-claimer game are all derived from deterministic rules. Claiming Hash turns 10% of the exit into yield for players who continue holding Unclaimed Hash.
8. Quests & Leaderboards
Retention, progression, and competition are all configurable live.
Quest Templates
Leaderboard Rewards
Admins can modify quests and reward tables in the live backend without redeploying the site.
9. Auto-pricing Logic
Internal token-side costs auto-adjust to market cap while respecting per-tick movement limits.
Auto-pricing updates internal token-side economics with per-tick clamps. Machine sale checkout remains fixed USD pricing converted to SOL at order time.
10. Risk Controls
The model is intentionally constrained to reduce runaway inflation.
- There is only one tradable token. Hash is non-transferable and remains an internal progression resource.
- Leaderboard and quest outputs are configurable reward channels rather than uncapped machine payouts.
- Maintenance costs create a persistent token sink.
- Upgrade costs compound upward in Hash, slowing late-stage progression.
- Price automation is clamped by minimum cap, maximum cap, and maximum move-per-tick boundaries.
- Slot expansion scales exponentially, preventing linear inventory growth.
11. Economic Disclosure
Operational transparency is part of the product promise.
This whitepaper documents the current code-defined baseline of AI Mining Games. Some parameters are dynamically adjustable by the admin backend and are therefore expected to evolve. Live values shown on this page are fetched from the running application state. Formula descriptions and baseline constants reflect the current implemented logic of the game server.
Players should treat this game as a live-operated product with adjustable quests, leaderboards, pricing automation, and content. The whitepaper should be read together with the live dashboard, because some economic surfaces are intentionally operator-managed.