Aug 19, 2026

Stablecoin Rails, Order Book Friction, Agent Guardrails, and Model Serving

An educational crypto, finance, and AI vocabulary puzzle about backing, execution, permissions, and inference efficiency.

Stablecoin Rails

These terms cover creation, backing, cash-out, and the reference value itself.

  • Mint: Minting is the process of creating new units of a token under the rules of a protocol or issuer.
  • Reserve: A reserve is the asset pool held to support a token, liability, or redemption claim.
  • Redemption: Redemption is the process of exchanging a token or claim for the underlying value it represents.
  • Peg: A peg is the target value a stable asset tries to track, often one U.S. dollar.

Order Book Friction

These terms cover the best prices, the gap between them, and the drag from moving size.

  • Bid: A bid is the highest price a buyer is currently willing to pay in the market.
  • Ask: An ask is the lowest price a seller is currently willing to accept in the market.
  • Spread: The spread is the difference between the best bid and the best ask.
  • Slippage: Slippage is the difference between the expected price and the price a trade actually gets.

Agent Guardrails

These terms cover calling tools, isolation, human review, and logging.

  • Tool Calling: Tool calling lets an AI agent request a function, API call, or other external action to complete a task.
  • Sandbox: A sandbox is a restricted environment that limits what an agent or program can access or change.
  • Approval: Approval is a checkpoint where a human reviews and authorizes a risky or important action.
  • Audit Trail: An audit trail is a log that records what happened, when it happened, and who or what triggered it.

Model Serving

These terms cover delay, work rate, grouped requests, and reduced precision.

  • Latency: Latency is the delay between a request and the start or completion of a response.
  • Throughput: Throughput is the amount of work a system can process in a given time period.
  • Batching: Batching groups multiple inputs or requests together to improve efficiency.
  • Quantization: Quantization reduces numerical precision to lower memory use and speed up inference.