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AI workflows execute predefined steps. AI agents evaluate the situation, decide what to do next, and adapt as they work toward a goal.

This infographic provides a quick visual comparison of the two approaches to modern AI automation.

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Building AI agents sounds straightforward.

In reality, teams often spend more time connecting tools, APIs, databases, and services than building the actual intelligence.

Every integration introduces complexity:

Authentication

Maintenance

Tool fragmentation

Operational overhead

This is one reason Model Context Protocol (MCP) is gaining attention across the AI ecosystem.