Recent discussions on “agentic AI” have gained traction, highlighting its potential capabilities. At its core, agentic AI refers to systems that can:
- Set and pursue goals
- Utilize tools and APIs
- Make sequential decisions
- Learn and reflect over time
“Without structured context management, agentic AI is just improvisation.”
While that sounds promising, there’s a critical oversight in many demonstrations: if the AI lacks effective context management, it risks losing focus during tasks. As the article aptly puts it, a system that forgets its objectives mid-task is akin to “a goldfish with ambition.”
This insight challenges the prevailing excitement around agentic AI and underscores the need for robust architectures to maintain goal orientation. To explore further on how context management can transform AI capabilities, dive deeper into the full article.
Read the full story for more details:
Continue reading