A Vibe Coding Playbook: From Vibe 2 VPS
Moving from a blank canvas to a production-grade, HTTPS-hosted, VPS-deployed application.
No fluff, no ‘hello world’—just a battle-tested workflow from the personal experience of a consultant.
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Agentic Commerce Readiness Assessment Tool
Is your commerce strategy ready for a world run by AI agents? We have discussed the shift from “e-commerce” to Agentic Commerce in my earlier posts. The move from clicking buttons to agents negotiating, purchasing, and managing experiences on our behalf. Here is a fact: Most organizations are excited about the tech, but I see…
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The Agentic Landscape Archetypes
The primary source of competitive advantage is shifting from the intelligence layer (the “brain”) to the execution layer (the “claw”). Hence, the current challenge is determining which agentic architecture aligns with your organization’s security, scalability, use cases and operational requirements. Today’s “Agentic Stack” is fragmenting into four distinct architectural archetypes, each representing a different philosophy…
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OpenClaw: The Trust Infrastructure
My learning from 🦞OpenClaw: The Trust Infrastructure🛡️ So far, the industry has optimized for safer conversational assistants. The market has now pivoted toward agents that execute: running shell commands, managing files, and operating 24/7 without human prompts. This level of execution is precisely what enterprises need to unlock real ROI from AI.🤖 It is also…
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Enterprise AI in 2026: The Shift from Experimentation to Economic Impact
It is a fact! Most organizations have an AI execution problem. This World Economic Forum (WEF) report on Real-World AI Adoption from 2025 MINDS Organizations, is one of the more grounded reads I’ve seen. A few data points that stood out: 📊 Only ~26% of companies are seeing significant financial value from AI.The gap: operating…
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Running RAG & Semantic Search… Locally!
One of the challenges I’ve faced with vector databases like Chroma DB is how heavy they can get even with a handful of small PDFs. I have seen them consume 180+ MB once vectorized. Great for experimentation, but not exactly lightweight or (work) laptop‑friendly. Those who have been following me, know that I am a…
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Are we ready for supply chains and customer experiences powered by AI that doesn’t just analyze, but actually acts?
Imagine agentic AI—systems that make decisions, coordinate replenishment, optimize promotions, and personalize shopper journeys across channels, all without waiting for human intervention. Very few retailers and CPG leaders are on the right path to reshaping how they drive growth and efficiency using agentic AI. Excited to share a must-read Harvard Business Review (HBR) article, sponsored…
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MCP and A2A: What are they?
Cutting through the noise on MCP (Model Context Protocol) and A2A (Agent 2 Agent)! This insightful article from Aurimas Griciūnas provides much-needed clarity on how these two protocols compare and what their future might look like as agentic systems evolve. If you’re building with LLMs, agents, or just want clarity on these buzzwords, this is…
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Large Concept Models (LCMs): A Leap Beyond LLMs and LRMs in AI
Artificial intelligence (AI) has witnessed remarkable advancements, evolving from rule-based systems to sophisticated models that mimic human language. Large Language Models (LLMs), like GPT-4, have demonstrated impressive capabilities in processing language at the token level. Early 2020s saw the emergence of Large Reasoning Models (LRMs) to tackle the limitations of LLMs in structured reasoning and…