# Real-world grounding in agentic AI

DevFeed: [Real-world grounding in agentic AI](<https://devfeed.tech/articles/real-world-grounding-in-agentic-ai-7606.md>)

Original publisher: [Read original article](<https://www.amazon.science/blog/real-world-grounding-in-agentic-ai>)

Author: Rose Yu

Published: 2026-06-08T19:00:00Z

Content type: article

Language: en

Sources: [Amazon Science homepage](<https://devfeed.tech/sources/amazon-science-homepage.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agentic-ai-grounding](<https://devfeed.tech/tags/agentic-ai-grounding.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent-hallucinations](<https://devfeed.tech/tags/ai-agent-hallucinations.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [calibrated-uncertainty](<https://devfeed.tech/tags/calibrated-uncertainty.md>), [formal-verification-ai](<https://devfeed.tech/tags/formal-verification-ai.md>), [foundation-models-physical-ai](<https://devfeed.tech/tags/foundation-models-physical-ai.md>), [hallucinations](<https://devfeed.tech/tags/hallucinations.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [physics-guided-deep-learning](<https://devfeed.tech/tags/physics-guided-deep-learning.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [uncertainty-quantification-llms](<https://devfeed.tech/tags/uncertainty-quantification-llms.md>)

## AI overview

The article proposes four approaches for grounding AI agents in physical-world operational environments. It argues that integrating domain data, physical principles, and simulations can reduce harmful hallucinations and improve safe, trustworthy agent behavior.

## Source excerpt

Four approaches can dramatically improve the performance and trustworthiness of AI agents in operational environments.