An educational crypto, finance, and AI vocabulary puzzle about scaling networks, business cash flow, agent design, and responsible data use.
Layer Two Security
Layer two networks bundle activity and use proofs or challenge periods to connect their results back to a base blockchain.
- Rollup: A rollup processes many transactions together and posts summarized data or proofs to a base blockchain.
- Sequencer: A sequencer is a service that orders transactions for a rollup before they are submitted to the underlying chain.
- Fraud Proof: A fraud proof is evidence used to show that a proposed blockchain state transition is invalid.
- Data Availability: Data availability means the information needed to verify or reconstruct blockchain activity can be accessed by participants.
Cash Flow Basics
Cash flow measures show how operating activities, investing decisions, and financing affect a business's cash balance.
Operating Cash FlowCapital ExpenditureFree Cash FlowWorking Capital
- Operating Cash Flow: Operating cash flow measures cash generated or used by a company's regular business activities.
- Capital Expenditure: Capital expenditure is money spent to buy, improve, or maintain assets such as equipment or facilities.
- Free Cash Flow: Free cash flow is cash remaining after a business covers operating needs and capital expenditures.
- Working Capital: Working capital is the difference between current assets and current liabilities used in day-to-day operations.
AI Agent Building Blocks
AI agents combine planning, tool use, observations, and task state to carry out multi-step workflows under defined controls.
- Agent Loop: An agent loop is a repeated cycle in which an AI system plans, takes an action, observes a result, and decides what to do next.
- Tool Call: A tool call is a structured request from an AI system to use an external capability such as search, code execution, or a database.
- Observation: An observation is information returned after an agent action that helps the system choose its next step.
- Guardrail: A guardrail is a rule or control designed to keep an AI system's outputs or actions within defined safety and quality limits.
Data Governance
Data governance sets ownership, quality standards, access rules, and records of how data is collected and used.
Data LineageData StewardAccess ControlRetention Policy
- Data Lineage: Data lineage documents where data came from, how it changed, and where it moved through a system.
- Data Steward: A data steward is a person responsible for helping maintain data quality, definitions, and appropriate use.
- Access Control: Access control defines who may view, change, or use specific data and under what conditions.
- Retention Policy: A retention policy defines how long data should be kept and when it should be deleted or archived.