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12-12-2025 02:53 AM
Hey @Jackryan360 , here are my thoughts on the matter. I am curious to see what others have to say.
Quick difference
Agentic AI = compound, goal-directed systems that reason, plan, and act via tools to achieve outcomes end-to-end.
AI automation = mostly single-step, rules-based flows that operate on fixed inputs and limited context.
AI automation = mostly single-step, rules-based flows that operate on fixed inputs and limited context.
Why Agentic AI is powerful
- Autonomy + tool use: LLM “decision engine” selects and calls tools, uses memory, and executes multi-turn plans.
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Multi-step reasoning + planning: Decomposes tasks, iterates (ReAct/Reflexion) to handle complex queries.
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Orchestration + state: Coordinates LLMs, retrievers, tools, and conversation memory for think–retrieve–decide–act loops.
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Evaluation-driven development: Tracing
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AI judges for correctness, groundedness, relevance, safety, and cost/latency—plus root-cause analysis.
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Governance + guardrails: Access controls, lineage, rate limits, content safety baked into the stack.
Where it shines
- Blend unstructured + structured: Vector search for docs, SQL/Python tools for compute/action, then synthesize.
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Adaptation to ambiguity: Clarify, branch, and adjust plans when inputs deviate.
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Continuous improvement: Compare versions, tune prompts/tools/models to hit a quality/cost/latency target.
Bottom line
Agentic AI combines reasoning with action in a governed, evaluable system—ideal for multi-step, cross-data tasks with a measurable path to better quality over time.
Finally, consider taking our free training. Specifically, look for the "Get Started ..." courses.
Cheers, Lou
