GLOSSARY

Glossary

AI-native teams looking at the same system interpret agent, tool, workflow, and memory differently. Aligning vocabulary first accelerates the design conversation.


Agentic Debt
Debt that accrues when agent autonomy grows faster than architectural discipline. It surfaces in four forms: authority sprawl, contract gap, observability gap, and validation gap. The OCLS loop is the mechanism that pays it down systematically.
Agent
A responsible actor that calls modules and participates in collaboration flows in service of a goal. Not a function caller — a unit that owns and can explain an outcome.
Module
A reusable execution unit with declared input/output, authority, and failure conditions. The minimum governance unit an agent calls to fulfill its responsibility.
Contract
The bundle of interface and constraints an agent or module must honor. Includes input schema, output schema, required authority, failure conditions, and the shape of the failure response.
Governance
The operational control layer that manages quality, cost, authority, approval, and safety. Not a bolt-on afterthought — a baseline element of the architecture.
Responsibility Boundary
The boundary of an agent's owned responsibility. Decisions and execution inside the boundary are made by the agent alone; anything outside is delegated through an explicit handoff.
Handoff
The act of one agent explicitly delegating work that exceeds its responsibility to another agent. The scope and format of context passed at handoff must be defined.
Authority Scope
The range of actions an agent or module is permitted to execute. Covers read/write authority, callable external services, and cost ceilings.
Context
Structured information passed between agents at handoff. Includes conversation history, user intent, intermediate results, and metadata — filtered to what the receiving agent's responsibility requires.
State
Session-scope short-term data. Holds the current conversation, running temporaries, and progress markers, and is cleared automatically at session end.
Memory
System-scope long-term data. Holds learned patterns, customer preferences, and prior resolutions, and is promoted from short-term state by explicit criteria.
Evaluation Criteria
Quantitative measures of agent or module output quality. Covers success rate, response-quality score, cost efficiency, and hallucination detection.
Guardrail
A safety rule validated before agent execution. Constraints such as cost ceilings, authority scopes, action denylists, and PII blocks that stop risk before it materializes.
Escalation
The act of handing judgment to a higher-level agent or a human approver when the agent detects that the situation exceeds its autonomous scope. Escalation criteria must be defined explicitly.
Decision Traceability
The design principle of recording an agent's reasoning path, module-selection rationale, and handoff reasons in structured logs. Without traceability, evaluation, improvement, and audit are all impossible.
OCLS Loop
Own → Contract → Layer → Sharpen. The governance design loop of reopt architecture. Each cycle sharpens ownership, contracts, layering, and boundaries.
Own Every Outcome
The design principle that an owner assigned to every outcome makes responsibility explicit. With an owner, incidents trigger an immediate response and governance can operate.
Contract First
The design principle that declaring input, output, authority, and refusal conditions before implementation makes evaluation, replacement, and control possible. Contracts are provisional — operational data updates them.
Layer, Then Scale
The design principle that structuring agents into categories, layers, and boundaries preserves governance as agent count grows. Layering is the scaling strategy.
Sharpen in Operation
The design principle that adjusting boundaries from operational data lets governance evolve with reality.