Information-arbitrage

The market believes that they can achieve reliable outcomes by releasing a free-run AI agent into a folder (like OpenClaw or Claude Desktop) and giving it access to READ and WRITE a Python script - that performs or checks the math. We tested this. Instead of doing the math, the free-run agent cheated to pass the test! It hallucinated an incorrect output into a file and printed "success", thereby faking the python output. Here is why at Mæstery we put agents on rails and give them tools they can press like a button, masking the python script inside the tool.

Free-run agents like OpenClaw or Claude Desktop are chaos - Mæstery is grounded in precision. At Mæstery, we build Agents on Rails with pathways that encode our proprietary repeatable investment evaluation system and our experience embodied in Knowledge Graphs. Agent on Rails allows us to guarantee quality and to afford massive scale.