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
Generative UI & voice terms
18 matching terms.
- Generative UI Concept · Generative UI & voice
Use model output to help determine which interface components and content a user sees.
- A2UI Protocol · Generative UI & voice
A declarative format for agent-generated interfaces rendered by compatible clients.
- AG-UI Protocol · Generative UI & voice
Agent User Interaction Protocol: event-oriented communication between agent execution and user interfaces.
- ASR / STT Concept · Generative UI & voice
Automatic speech recognition or speech-to-text: transcribe spoken audio into text.
- Barge-in Concept · Generative UI & voice
Allow a user to interrupt an agent's speech and have the system respond appropriately.
- Component catalog Concept · Generative UI & voice
The set of allowed UI components and their property contracts.
- Diarization Concept · Generative UI & voice
Assign segments of audio to distinct speaker identities or labels.
- Endpointing Concept · Generative UI & voice
Decide when an incoming utterance has ended or should be finalized.
- Multimodal model Concept · Generative UI & voice
A model that processes or generates more than one data modality.
- Realtime agent Concept · Generative UI & voice
An agent designed for ongoing low-latency interaction rather than only completed batch responses.
- Schema-driven UI Concept · Generative UI & voice
Render an interface from structured data constrained by a defined schema.
- Speech-to-speech Concept · Generative UI & voice
Generate spoken output from spoken input, with architecture-specific intermediate processing.
- Streaming state Concept · Generative UI & voice
Deliver structured updates incrementally while execution is still in progress.
- TTS Concept · Generative UI & voice
Text-to-speech: generate spoken audio from text.
- Turn detection Concept · Generative UI & voice
Determine conversational turn boundaries so an agent responds at an appropriate time.
- UI action binding Concept · Generative UI & voice
Connect a rendered control to a permitted application operation.
- VAD Concept · Generative UI & voice
Voice activity detection: identify intervals that contain speech.
- VLM Concept · Generative UI & voice
Vision-language model: a model combining visual and language capabilities.
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.