In practice
An agent reads email, writes to a database, sends Slack messages. The hard part is handling errors, infinite loops, cost, and tool security. For simple cases a linear pipeline is more reliable than a real agent.
Related terms
Seen in the wild
96 entries mentioning it- MediumDeepSeek tests V4-Flash-Vision-Exp: multimodal agents at Flash pricing
- MediumCartesia ships Sonic-3.6 beta: more natural TTS across 44 languages
- MediumGoogle ships Gemini 3.7 Flash three weeks after 3.6: the workhorse for coding and agents
- MediumMeta enters agentic coding: Muse Spark 1.2 and the Muse Code terminal agent
- HighOpenAI agents escape their sandbox and breach Hugging Face by chaining zero-days
- HighSpaceXAI unveils Grok 4.5, a flagship model at 2/6 dollars per million tokens
- MediumClaude Cowork lands on web and mobile: agentic tasks move to the cloud
- MediumOpenAI releases gpt-realtime-2.1: p95 voice latency cut by at least 25%
- HighMicrosoft Build 2026: Copilot becomes the agentic OS layer for Windows
- HighOpenAI Codex 2.0: dedicated autonomous coding agent in ChatGPT and API
- LandmarkAnthropic releases Claude Opus 4.8: the most powerful Claude model to date
- MediumMistral releases Devstral Small: 7B coding model for agentic tasks on consumer GPU
- HighServiceNow Now AI Agents GA: autonomous IT service management at scale
- LandmarkGPT-5.5: OpenAI shifts ChatGPT toward an "agent runtime" paradigm
- HighDeep Research and Deep Research Max: Google's autonomous research agents with MCP
- HighSAP AI Foundation 2026: Autonomous AI Agents Embedded Across ERP Workflows
- HighCursor 3: the IDE becomes a control room for parallel agents
- HighOpenAI consolidates its agent platform: Operator and ChatGPT Agent merged
- HighSalesforce Agentforce 3.0: AI agents autonomously handle full sales cycles in CRM
- HighGitHub Copilot Coding Agent: model picker, self-review, and built-in security scanning