lAItest / AI field guide · edition 2026-09-26
Know the language. Build with clarity.
Plain-English definitions for the concepts, patterns, protocols, and tools behind modern AI work.
414 defined terms · 16 topic areas · 50 essentials
Loops, critics & adversaries terms
33 matching terms.
- Adversarial agent Concept · Loops, critics & adversaries
An agent assigned to oppose, challenge, or attack a target within a defined setting.
- Adversarial loop Pattern · Loops, critics & adversaries
An informal pattern of challenge, revision, and rechecking; not one standardized algorithm.
- Agent loop Pattern · Loops, critics & adversaries
Repeatedly assemble context, request an action, execute tools, observe results, and continue or stop.
- Critic Concept · Loops, critics & adversaries
A component that assesses a candidate and identifies weaknesses or potential improvements.
- Repair loop Pattern · Loops, critics & adversaries
Modify a candidate or strategy in response to diagnosed failure, then try again.
- Replanning Concept · Loops, critics & adversaries
Revise the execution plan after new information, failures, or changed constraints.
- Stop condition Concept · Loops, critics & adversaries
An explicit rule for completion, failure, budget exhaustion, cancellation, or escalation.
- Verifier Concept · Loops, critics & adversaries
A component that checks claims or properties against evidence and specified conditions.
- Actor-critic pattern Pattern · Loops, critics & adversaries
A producer and assessor arrangement; distinguish this loose agent pattern from actor-critic reinforcement learning.
- Adversarial Concept · Loops, critics & adversaries
Designed to challenge, exploit, or oppose a target system or candidate outcome.
- Adversary Concept · Loops, critics & adversaries
An actor or process whose objective conflicts with the target system's objective.
- Ambient agent Concept · Loops, critics & adversaries
An informal label for an agent that monitors relevant events rather than requiring a prompt for every action.
- Backpressure Concept · Loops, critics & adversaries
Feedback or limits that slow or reject progress; in coding-agent discussion, often tests, types, and lint failures.
- Blind review Concept · Loops, critics & adversaries
Assess an artifact without revealing irrelevant producer identity or prior assessments that could bias judgment.
- Counterexample Concept · Loops, critics & adversaries
A concrete case that disproves a general claim or violates a proposed invariant.
- Event-driven agent Pattern · Loops, critics & adversaries
An agent that starts or resumes in response to an external event.
- Generator-evaluator loop Pattern · Loops, critics & adversaries
Generate a candidate, assess it against criteria, and feed findings into another attempt.
- Goal-directed execution Concept · Loops, critics & adversaries
Select and revise actions by reference to an objective rather than a fixed response template.
- Heartbeat Concept · Loops, critics & adversaries
A periodic trigger that allows a system to inspect state and decide whether work is needed.
- Hill-climbing loop Pattern · Loops, critics & adversaries
Propose a change, evaluate it, and retain it when it improves the chosen objective.
- Loop engineering Concept · Loops, critics & adversaries
Design the execution, verification, triggering, and improvement loops surrounding an agent.
- Persistent task execution Concept · Loops, critics & adversaries
Continue a task across interruptions using stored progress and an explicit completion contract.
- Plan-and-execute Pattern · Loops, critics & adversaries
Construct an explicit plan, then execute its steps and track progress.
- Ralph loop Pattern · Loops, critics & adversaries
An informal coding-agent pattern of repeated invocations with progress carried through persistent repository artifacts.
- ReAct Pattern · Loops, critics & adversaries
A prompting pattern interleaving reasoning, actions, and observations.
- Reflection Concept · Loops, critics & adversaries
A model evaluates its own previous output or behavior to inform what to do next.
- Reflexion Pattern · Loops, critics & adversaries
A research method using verbal feedback and episodic memory to improve subsequent attempts.
- Retry loop Pattern · Loops, critics & adversaries
Repeat an operation after failure, often without changing the underlying candidate or strategy.
- Self-improving agent Concept · Loops, critics & adversaries
An ambiguous label: improvement may change prompts, memory, skills, or weights; specify which.
- Self-refinement Pattern · Loops, critics & adversaries
Repeatedly revise an output using feedback generated internally or externally.
- Stagnation detection Concept · Loops, critics & adversaries
Identify repeated work or errors without meaningful progress.
- Verification loop Pattern · Loops, critics & adversaries
Repeat implementation and checks until acceptance or an execution limit is reached.
- Watchdog Concept · Loops, critics & adversaries
An independent monitor that detects and interrupts stalled or unsafe execution.
Browse by topic
- Agents & architecture 23 — Who decides, what executes, and where control lives.
- Goals, specs & plans 23 — Describe the outcome before delegating the implementation.
- Loops, critics & adversaries 33 — Understand how work is challenged, repaired, and stopped.
- Multi-agent coordination 21 — Delegation, ownership, context boundaries, and aggregation.
- Context & memory 29 — What the model sees now, and what persists for later.
- Tools & output contracts 20 — Model proposals become validated, authorized operations.
- Protocols & interoperability 19 — Name the boundary: tools, agents, editors, or interfaces.
- Coding-agent internals 25 — Instructions, skills, hooks, tools, and durable artifacts.
- Retrieval & knowledge 31 — Find evidence, rank it, and preserve source boundaries.
- Evals & observability 29 — Measure outcomes and inspect the execution path.
- Inference & performance 28 — Latency, throughput, compute, and memory are different constraints.
- Models, reasoning & training 36 — Separate weight changes from context and inference-time work.
- Security & reliability 27 — Make privileges explicit and side effects recoverable.
- Generative UI & voice 18 — The interaction layer has its own contracts and timing.
- Generative & physical AI 8 — Broader model families beyond text-based assistants.
- Tools & ecosystem 44 — Recognize the role before choosing the dependency.