Why My First Attempt at OpenClaw Was a Total Disaster
OpenClaw is not a tool to be “learned.” It is an environment to be experienced.
All insights related to AI, Data, and Analytics. Including Data managment, Data Governance and operating models.
OpenClaw is not a tool to be “learned.” It is an environment to be experienced.
The Architecture of Intent We have all been there. Vibe coded to our hearts’ content. At least I have on a few tools like v0, lovable, mocha, bolt.new, Google AI Studio, Dyad, and Claude Code. You write a single, “brilliant” prompt, and an LLM spits out a functional script. You feel like a wizard! But…
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.
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…
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…
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…
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…
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…
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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