The Learning Loop
It watches. It learns. It stops making the same mistake twice.
Your claims process is unique. Off-the-shelf models don't know your specific exclusion clauses for water damage or how you handle handwritten medical receipts. The Agent Gym bridges that gap.
1. Execution
The Agent attempts a task (e.g., assessing a complex liability claim).
2. Expert Review
Your human expert reviews the output. If the Agent missed a nuance, the expert corrects it in the Assistant view.
3. Automatic Adaption
The Agent analyzes the correction. It fixes the claim & updates its understanding of your logic.
Improved Policy
The system generates a new natural language rule to ensure it handles similar cases correctly next time.
Features
You don’t need a data scientist to retrain the model. When the Agent learns a new rule, it presents it as a readable, natural language policy.
Transparent Rules
See exactly what instructions the Agent is following.
Instant Adjustments
If regulations change, you can update the Agent’s "playbook" simply by describing the new requirement.
No Code Required
If you can write an email, you can train MarvelX.
A Realistic Timeline
From "Pilot" to "Production" in 6 weeks.
Week 1
Agent ingest your documents and historical claims. (70% Accuracy)
Week 2-4
Human-in-the-loop feedback tunes the model. (85-95% Accuracy)
Week 5-6
Agent achieves superhuman consistency and is ready for autonomous workflows. (99% Accuracy)
