GPSim

GPSim provides a quick, low-cost way to explore the practicalities of a GrainPlaza-style marketplace. It won’t be complete or totally functional, but it will be fast, affordable, and informative. GPSim combines AI-generated content with curated public materials to create a synthetic mockup of what a production grain-trading system might look like. Its main elements are:

• Synthetic Users – DeeperPoint’s ClientSynth curates public “seed” materials, then uses generative AI to create large populations of realistic but untraceable users, including edge cases for stress-testing.

• Context Library – Domain experts assemble a starter set of manuals, standards, and reports. In production, this library would expand and be maintained; for GPSim, it simply enables credible, revealing interactions.

• Experimentation Environment – With synthetic users and real context data, GPSim lets administrators test prompts and generate useful outputs—either ad hoc in the simulator or refactored into the Cosolvent codebase.

The three goals of the Simulator are:

• See if a meaninful market tool is plausible
• Generate guidance for eventual construction of the supporting ecosystem,
• Quickly and cheaply build a realistic demo site that can excite interest from potential sponsors to make the system real. This should get sponsors as close as possible to the go/nogo decision for full system deployment.