Tag
42 entries tagged Agentic AI · 1 scroll · 41 terms.
An open protocol that lets AI coding agents communicate with editors and IDEs in a standardized way, so the same agent can run inside Cursor, Devin Desktop, Zed, or any other compliant client.
A calibrated reliability rating attached to an AI agent's output, used to decide whether the result is safe to ship or must be routed to a human reviewer.
The user interface that lets a human watch, approve, and redirect an AI agent that is running somewhere else, while the underlying work stays on the machine where the agent lives.
A centralized directory that catalogs every AI agent operating within a system, assigns each one a verifiable identity, and tracks what each agent is authorized to do.
An agent swarm is a coordinated group of AI agents running simultaneously, each handling a sub-task, with results combined by an orchestrating system into a single output.
AI that does not just answer but acts: it takes a goal, plans the steps, uses tools, and carries out a task across many turns with limited supervision, rather than producing a single reply and stopping.
The metered, usage-based pricing model for AI agents, where cost is driven by tokens consumed per loop turn rather than a flat monthly seat fee.
A web browser whose default surface is an AI agent that takes multi-step actions on the user's behalf across pages, not just a search box or a chatbot stapled to the sidebar.
The pattern where an AI agent, not a human, executes the search, decision, checkout, and after-sales steps of a purchase on a user's behalf.
The ability of an AI agent to compose, send, organize, and manage email autonomously on behalf of a user, operating within the user's account permissions without requiring manual review of each outbound message.
A unified software platform that combines conversational AI, autonomous task execution, computer use, code generation, and background task scheduling in a single product surface marketed to consumers and enterprise users alike.
The staffing pattern in which AI agents are counted alongside humans as productive units of an enterprise's labor capacity, with managers allocating work to whichever resource is faster, cheaper, or available.
An AI agent that runs persistently in the background of a workspace, watches the user's activity without being prompted, and takes initiative on what it sees.
A workflow in which an AI model both detects software vulnerabilities and generates the code fix, then opens or commits the patch with little or no human review in the loop.
An AI system sold as a unit of engineering labor rather than a coding assistant: you assign it a task and it plans, writes, tests, and submits the work for review on its own.
An AI agent that runs continuously on a remote server, executing tasks on a user's behalf even when the client device is closed.
The accelerating trend in which AI performance once achievable only by flagship, top-tier models migrates into midtier or lower-cost alternatives within months, resetting the market's baseline expectations each cycle.
An AI capability in which a model perceives a computer screen and operates its interface directly, clicking, typing, scrolling, and navigating apps to take actions on a user's behalf.
A foundation model purpose-built to operate software the way a person does, by clicking, typing, navigating menus, and manipulating files, rather than producing chat or code.
The practice of discovering, comparing, and buying products inside a conversational AI interface rather than on a traditional website or app.
The proportion of a team's output that is produced by an AI agent rather than by a human, measured per worker, per department, or per organization.
A JavaScript orchestration script that Claude writes and a runtime executes to fan a complex task across tens to hundreds of parallel subagents, keeping intermediate state outside the conversation.
The practice of AI capabilities moving into the response surface of existing productivity tools rather than living as a standalone application the user switches to.
Embodied AI is artificial intelligence placed inside a physical body, such as a humanoid robot or a four-legged robot dog, so that a model can sense and act in the real world instead of only producing text on a screen.
A protocol extension that lets enterprise admins grant AI agents access to third-party connectors once through the company's identity provider, so individual employees inherit the access on first login instead of clicking through OAuth screens.
A design where an AI system pauses at a consequential step and waits for a person to approve, edit, or decline before it acts.
An attack that hides instructions inside content an AI agent reads, such as a web page or an email, so the agent executes them as if the user had given the command.
A chip designed from the ground up for one job, running already-trained AI models, rather than a general-purpose GPU adapted to that job.
The practice of routing AI API requests to different speed and cost tiers, paying less for work that can tolerate slower response times.
An AI agent designed to sustain coherent action across many steps and long elapsed time without losing the thread of the task it was given.
The practice of building a small system that finds work, hands it to an AI agent, checks the result against an objective gate, records what happened, and decides the next step on its own, so the system prompts the agent instead of you.
An AI agent hosted by a platform (most commonly Anthropic's infrastructure) rather than running inside a personal terminal session. A Managed Agent persists beyond the operator's session, exposes a stable invocation surface (an API call or a button in an internal app), and reaches external systems through a governed tool gateway.
The background process by which an AI assistant rewrites and merges short-term context, saved facts, and prior chats into a smaller, cleaner, longer-lived store the model can use later.
A crafted input sequence that bypasses a model's safety guardrails and produces outputs the model was trained or filtered to refuse.
A credential, token, API key, service account, or OAuth grant issued to a software system, automation, or AI agent rather than to a human user, used to authenticate and authorize machine-to-machine actions inside enterprise environments.
AI configured to stay with one operator across all their tools and contexts, building a persistent memory of work patterns instead of starting fresh per session.
An AI skill creation pattern in which an agent watches a user complete a task once, then saves the demonstration as a reusable, parameterized routine the agent can execute later without further instruction.
The threshold at which an AI system can autonomously design, train, and ship a more capable version of itself, with each new generation authored by the previous one rather than by human engineers.
A sandbox escape is when an AI agent breaks out of, or reaches around, the isolated environment meant to contain it, so its code or actions run with access the sandbox was supposed to deny.
A saved instruction file that an AI tool reads each time you invoke it, producing consistent output across runs without requiring the operator to remember and retype a long prompt. In Claude Code, Skills live at ~/.claude/skills/<name>/SKILL.md and are invoked by typing /<name>.
An autonomous AI agent that a parent agent spawns to handle one bounded task, usually in parallel with sibling subagents, then return a structured result for the parent to synthesize.
