AI agents fail when they stop at the prototype stage • Multimodal input
• Structured output
• APIs & interfaces
• Tools + memory + RAG Real value comes from usability, not capability alone. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #Tech
@ingliguori
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Moving AI Agents Beyond the Prototype Stage
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Why AI Pilots Fail: Strategy and Operational Integration
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Most AI pilots fail Not because of the tech.
Because of the strategy. • No clear ownership
• No measurable outcomes
• No operational integration AI becomes valuable when tied to business execution. Via Giuliano Liguori (
@ingliguori
) #AI #Innovation -
4 Prompting Styles to Master for Better AI Interaction
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4 prompting styles to master • Structured → precision
• Analytical → accuracy
• Conversational → speed
• Planning → execution Better prompts unlock different AI behaviors. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -
Optimizing Prompt Strategies for Different AI Task Goals
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Different goals need different prompts • Structured → clarity
• Analytical → evidence
• Conversational → creativity
• Planning → execution The best prompt matches the task. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -
Enterprise AI Governance and the Challenge of Agentic Workflows
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Most companies do not have an AI problem. They have an AI governance problem. As agents move across systems, data, and workflows, the real challenge becomes: Visibility Control Accountability Microsoft’s Agent 365 updates point to the next enterprise bottleneck:
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A Conceptual Framework for AI System Integration
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AI systems = layers • LLMs → intelligence
• RAG → knowledge
• GenAI → creation
• Agents → execution
• Agentic AI → autonomy Power comes from integration Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #Tech -
The Shift from Chat to Action in Enterprise AI Agents
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Enterprise AI is moving from chat to action. ServiceNow’s new Action Fabric matters because it gives AI agents governed ways to execute workflows, not just read data. That is the real test for 2026:
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A Framework for Effective AI Prompting
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Better prompts = better AI outputs • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -
Defining the Components of Agentic AI Systems
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Agentic AI = systems, not models • Intelligence (LLMs)
• Memory
• Tools
• Feedback loops That’s how AI moves from thinking → to doing Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #AgenticAI -
Shifting from RAG to LLM Knowledge Compilation
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity