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
@ingliguori
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Defining the Components of Agentic AI Systems
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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 -
Integrating MCP, RAG, and AI Agents into an AI Stack
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MCP vs RAG vs AI Agents MCP → connects tools
RAG → connects knowledge
Agents → execute tasks Not competitors.
A stack. The advantage?
How you combine them. Where are you investing first? #AI #Agents #RAG #Tech -
The Shift from RAG to Knowledge Compilation in AI Memory
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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 -
Strategic Roadmap: 5 Key Takeaways on the Future of AI by 2027
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AI is no longer just a productivity tool. It is becoming a strategic force. I summarized 5 takeaways from the “AI 2027” roadmap: AI as R&D multiplier
AI race goes geopolitical
The deception gap
White-collar work shock
Superintelligence as a hive The question is not whether AI -
AI Pilots Fail Due to Strategy, Not Technology Issues
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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 -
RAG is old way; future AI memory is compilation, not retrieval
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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 -
Better prompts create better AI outputs with structured frameworks
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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 -
AI memory future: from retrieval to LLM Wiki 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 -
Grok AI Feature Available to Premium Subscribers Only
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High-performing video = system • 3x engagement
• 20x shares
• +47% CTR
• Strong CTA = conversions Formula: attention + clarity + action Via Giuliano Liguori (
@ingliguori
) #VideoMarketing #B2B #Growth