The Forge
Powering liquid markets for digital human expertise
While ChatGPT can think and write, the next evolution of AI will actually DO — controlling your computer, executing tasks, automating entire workflows. This requires training data of humans actually using computers, not just text conversations.
The Forge is where businesses & individuals create "Factories" to collect high-quality human demonstrations for training Computer Use Agents. Our production-ready desktop app captures every click, keystroke, and decision as you execute workflows — instantly converting your expertise into AI training datasets powering the first liquid infrastructure for computer-use training data.
Core Concept
Factories = Training Data Collection Environments
A Factory is a funded workspace that incentivizes contributors to record their screen while executing specific computer tasks to create valuable tokenized training datasets.
How It Works
1. Create a Factory
Design the data collection space for your training data. Name your Factory and define the workflow skills you want to capture. Choose a reward token ($CLONES/$USDC/$ETH).
2. Auto-Structure Training Tasks
Provide a skill prompt. The Forge transforms it into structured actionable tasks for contributors to demonstrate. Each task is optimized to be replayable, verifiable, and relevant for high-quality training data.
3. Fund Your Factory Treasury
Add your reward token to your Factory's treasury to attract contributors. Define the specific amount of reward per task — the larger the reward pool, the stronger the incentive. Dynamic quality analysis always ensures that the best demonstrations receive the most value.
4. Collect Demonstrations & Build Your Dataset
Contributors earn rewards by recording their screens while executing tasks from your Factory. Each recording is automatically processed, labeled, and quality-scored. All validated demonstrations are compiled into your Factory Dataset, creating valuable training data for computer-use agents.
5. Tokenize Your Training Dataset
Once your dataset reaches your desired amount of demonstrations:
Dataset Token Launch (Tokenization)
Launch via bonding curve (Launch fee: $CLONES + $ETH)
Set IP access threshold — amount of token to burn for IP access
Liquidity is migrated to DEX & burnt when token graduates at 69k MC
Revenue Streams (Monetization)
Trading Revenue: Earn 0.25% from all trading volume forever
Threshold Control: You set burn-to-download supply amount for IP access
Meta-Dataset Inclusion: Private sale allocations in elite datasets if your data is used
The Multiplier Effect:
Your expertise gets captured once
Your dataset becomes a tradeable token
Token appreciates as enterprises adopt your workflows
You earn 0.25% volume fees on every trade
Meta-dataset inclusion creates additional token allocations
Network effects amplify value across the ecosystem
"Your Factory evolves from a data collection workspace into a tokenized revenue-generating training data business"
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