AGENTIC AI
Understanding autonomous AI systems that plan, execute, and adapt across multi-step workflows. Educational resources for the future of AI.
AUTONOMOUS SYSTEMS—INTELLIGENT PLANNING—ADAPTIVE REASONING—AUTONOMOUS SYSTEMS—INTELLIGENT PLANNING—ADAPTIVE REASONING—
Educational hub for understanding how AI systems plan, reason, and execute complex workflows autonomously. Built for professionals navigating the shift from reactive tools to proactive agents.
What is Agentic AI?
Autonomous systems that plan, execute, and adapt across multi-step workflows
Autonomy
Agents make decisions, plan steps, and execute tasks without constant human intervention
Tool Use & Orchestration
Connect APIs, databases, and services to accomplish complex, multi-step workflows
Evaluation & Safety
Built-in verification, error handling, and safety measures for reliable outcomes
Core Concepts
Autonomy
Systems that make decisions, plan steps, and execute tasks without constant human intervention
Tool Orchestration
Connect APIs, databases, and services to accomplish complex, multi-step workflows
Goal-Oriented
Work backwards from desired outcomes, selecting appropriate strategies to achieve objectives
The Paradigm Shift
How AI is evolving from reactive tools to proactive systems
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From single prompts to multi-step planners
Modern AI can break down complex goals into actionable steps and execute them sequentially
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From chat to workflows
Agents orchestrate tools, APIs, and data sources to deliver complete solutions
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From answers to outcomes
Focus shifts from generating text to achieving measurable results in real workflows
Building Blocks
Function Calling
LLMs invoke external functions and APIs, enabling interaction with real-world systems
Vector Databases
Store and retrieve contextual information, giving agents access to relevant knowledge
Orchestration
Coordinate multiple agents, manage state, and handle complex workflows with error recovery