Prompts don’t save hours.
Systems do. Most “power prompts” =
summarize, transform, decide, explain, recall Stop collecting prompts.
Start building workflows.
@ingliguori
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Systems Beat Prompts: Build Workflows Not Collections
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AI as Levers: Focus on 2-3 Use Cases That Drive Real Value
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AI use cases aren’t an alphabet. They’re levers. Predict Optimize Personalize Automate Pick the 2–3 that unblock real decisions first. That’s how AI earns, not decorates.
→ View original post on X — @ingliguori, 2026-04-13 17:25 UTC
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AI Integration Drives Evolution of Optical Networks in Homes
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AI is moving into our homes — and networks must evolve with it. At #MWC2026, Huawei highlighted how optical networks are enabling AI-driven services, from smart homes to distributed computing. It’s no longer just about connectivity. It’s about intelligent experiences. Read more 👉 go.kenovy.com/sRN7 #AI #Telecom #OpticalNetworks #Innovation
→ View original post on X — @ingliguori, 2026-04-13 12:17 UTC
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Permission Ladder for AI Agent Autonomy and Scale
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This isn’t a “learn AI agents” roadmap. It’s a permission ladder for autonomy. Skills → memory → coordination → control → monetization. Skip steps and you don’t get scale — you get outages.
→ View original post on X — @ingliguori, 2026-04-12 17:25 UTC
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Automate company data in Bitrix24 with VAT number entry
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🚀 Just enter a VAT number. Your CRM fills itself. Automate company data in Bitrix24. 🎯 Try it free for 15 days 👉 go.kenovy.com/BX24 #CRM #Automation #Sales @kenovy_it @Bitrix24it piped.video/dYkVIsEaPjc?is=2syK…
→ View original post on X — @ingliguori, 2026-04-12 12:50 UTC
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Five Pillars of Modern AI: Integration and Governance
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This diagram nails it. Modern AI isn’t one thing — it’s 5 interacting pillars: GenAI • LLMs • RAG • Agents • Agentic systems The edge isn’t tools. It’s how you connect, control, and govern them. Miss one layer → fragile AI.
→ View original post on X — @ingliguori, 2026-04-11 17:25 UTC
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Agentic AI Patterns: Operating Models Over Features
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Agentic AI patterns ≠ features. They’re operating models. ReAct → execution CodeAct → engineering Self-reflection → accuracy Multi-agent → complexity Agentic RAG → knowledge Pick based on decision risk, not hype.
→ View original post on X — @ingliguori, 2026-04-11 12:17 UTC
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10-Step Framework for Building and Scaling AI Agents
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🤖 Building AI Agents? Start here: A practical 10-step framework 👇 ✔️ Define objectives ✔️ Structure inputs/outputs ✔️ Engineer prompts ✔️ Enable tools + reasoning ✔️ Go multi-agent ✔️ Add memory (RAG) ✔️ Extend to voice & vision ✔️ Standardize outputs ✔️ Deploy (API/UI) ✔️ Iterate & improve 💥 AI Agents = the next operating layer of business. The winners won’t be who use AI… …but who design & scale it. Where are you starting? Via @ingliguori #AI #AIAgents #GenAI
→ View original post on X — @ingliguori, 2026-04-10 17:25 UTC
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Agentic AI Development: A Phased Approach to True Autonomy
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Agentic AI isn’t learned by tools. It’s learned in phases. Prompt → Memory → Tools → Workflows → Coordination → Deployment Skip phases and you don’t get agents. You get fragile demos. Autonomy is earned — not installed.
→ View original post on X — @ingliguori, 2026-04-10 12:17 UTC
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AI Homes: Optical Networks Enable Intelligent Connected Experiences
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AI is moving into our homes — and networks must evolve with it. At #MWC2026, Huawei highlighted how optical networks are enabling AI-driven services, from smart homes to distributed computing. It’s no longer just about connectivity. It’s about intelligent experiences. Read more 👉 go.kenovy.com/sRN7 #AI #Telecom #OpticalNetworks #Innovation
→ View original post on X — @ingliguori, 2026-04-09 21:22 UTC