LLM concepts and AI tool concepts

The concept behind programmatic access to language, image, audio, video, and multimodal models.

Grey-market or third-party proxy services that resell, relay, or repackage access to frontier AI models outside the official provider API path.

A community term for LLMs or fine-tunes that are designed to reduce refusals, loosen alignment behavior, or answer sensitive prompts more readily.

The runtime and control layer around an AI agent.

A design discipline for turning repeated agent work into a reliable control loop: discovery, execution, validation, memory, and bounded repetition.

Coding agents that run on local, self-hosted, or open-weight models instead of depending only on frontier hosted models.

Security practices for reusable agent skills, hooks, subagents, MCP tools, and prompt-loaded automation bundles.

A companion-style feature that makes coding agent activity easier to see or personalize.

A tool category for AI-assisted visual design, prototyping, presentations, and design-to-code handoff.

An AI workflow that turns one or more reference images into a 3D asset, mesh, texture set, or production-ready model file.

The gap between AI-generated code that looks complete and production software that has been reviewed for architecture, security, maintainability, and operations.