Grounding
The process of connecting AI model outputs to verified, real-world information sources. Grounded AI responses cite specific documents, databases, or web sources — reducing hallucinations and increasing factual reliability.
Why it matters
Grounding is one of the most effective ways to make AI trustworthy, because it ties answers to real, checkable sources instead of the model's memory alone. This sharply reduces confident-sounding mistakes, which matters enormously in fields like law, medicine, and research where a wrong fact has real consequences. When an assistant shows you where its answer came from, you can verify it rather than simply hoping it's right.
In practice
You ask an AI tool about your company's refund policy. A grounded system searches your actual policy document, quotes the relevant clause, and links to it, rather than guessing from general training. A useful habit: prefer tools that cite their sources and then click through to confirm, especially for anything factual, financial, or medical where being confidently wrong could cost you.
Related terms
Agentic AI
AI systems that operate autonomously over extended tasks — planning, executing, and self-correcting without step-by-step human guidance. Unlike chatbots, agentic AI sets sub-goals, uses tools, and adapts its strategy based on intermediate results.
AI Agent
An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve goals — like managing your email, scheduling meetings, or monitoring data.
ATS (Applicant Tracking System)
Software used by employers to filter and rank job applications by scanning resumes for keywords, formatting, and relevance. AI resume builders optimize output to pass ATS screening.
Benchmark
A standardized test or dataset used to evaluate and compare AI model performance. Common benchmarks include MMLU (knowledge), HumanEval (coding), and MT-Bench (conversation). Helps users choose the right model for their needs.
Brand Kit
A centralized collection of brand identity elements — logos, color palettes, typography, voice guidelines, and visual style rules — used to ensure consistent AI-generated content matches your brand.
BYOK (Bring Your Own Key)
A model where users provide their own API keys for AI services (like OpenAI or Anthropic) instead of using the platform's shared access. Offers more control over usage, billing, and rate limits.