The most interesting result in Anthropic's latest paper isn't the 8x increase in code output. It's this: Claude Mythos Preview suggested a better research direction than humans 64% of the time. We're moving beyond AI that writes code. We're approaching AI that helps decide.
@ingliguori
-
How to Build Structured AI Agents
By
–
How to build AI agents • Define scope
• Structure inputs
• Add tools & reasoning
• Orchestrate agents
• Add memory & context Smart agents are structured systems, not just prompts. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #GenAI -
AI pilots fail due to missing ownership, outcomes, integration
By
–
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 -
AI agents fail at prototype stage, real value is usability
By
–
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 -
AI pilots fail due to strategy, not technology
By
–
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 -
AI Governance Problem: The Real Challenge for Companies
By
–
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:
-
Enterprise AI shifts from chat to action with Action Fabric
By
–
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:
Can your agents act with permissions, auditability, and policy guardrails? -
From RAG retrieval to knowledge compilation: the LLM Wiki
By
–
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 -
Structured prompts for better AI results
By
–
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 -
20 Must-Try AI Tools for 2025: Covering All Categories
By
–
20 must-try AI tools for 2025. This stack covers everything: chat & reasoning image gen video gen voice/music AI search automation AI agents My top 3 right now: ChatGPT, Perplexity, Midjourney. What are yours? #AI #AITools #GenerativeAI #Automation