Tag: agentic
All the articles with the tag "agentic".
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Building a Local AI Employee with OpenClaw, Gemma 4 & LLM Wiki in RPi
Building a local "Split-Brain" AI Employee (OpenClaw agent) that could read my research, organize my thoughts, and actually remember things (Persistent Knowledge Base LLM Wiki).
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The OpenClaw Illusion - A First-Principles Audit and Startup Blueprint
The era of "Chatting with AI" is ending. The era of "Delegating to AI" has begun. OpenClaw is the first glimpse of this new world, but it is currently a "Wild West" of runaway costs and security risks. For the entrepreneur, these aren't just bugs—they are entry points. By applying First Principles, we’ve identified that the real value isn't in the agent itself, but in the trust, safety, and simplicity we can build around it. Use this guide as your starting point, verify the mechanics for yourself, and build something that turns this "hot" tool into a reliable engine for the global economy.
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OpenClaw for Newbie - Capabilities, Misconceptions & Real-World Costs
An Analysis of OpenClaw. While agent systems represent a clear direction for the future of artificial intelligence, taking a step back to evaluate if your current problem actually requires this level of complex machinery will save time, effort, and money.
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How I Built a Nostr AI Agent in Under 100 Lines of Code
My step-by-step guide to building a minimal, lightning-fast proof-of-concept (POC) of Nostr Zap Hunter, using Meteor 3 (Blaze), the Nostr Dev Kit (NDK), and Google's Gemini AI.
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Software vs AI Agent, and the Hybrid Future
Understand when to use a rigid tool and when to deploy an autonomous agent.
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Agentic Automation Startup Ideation Blueprint
If you are a newbie looking to build and monetize in today's AI market, you don't need a bigger foundation model. You need a better niche. Here is my step-by-step playbook for identifying, building, and monetizing niche agents.
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Leveling Up the Edge of Local SLM AI
Here is how I build a better cage for the brain we have, transforming a simple Raspberry Pi 4B into a Sovereign Edge Agent with SLM, RAG, GBNF, QLoRA, MCP...
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A Local-First, Self-Learning RAG AI on a RPi
This guide will walk you step-by-step through turning your Pi 4B into a dynamic AI knowledge base (RAG) that learns from your local folders and the web.
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Traded SLM Intelligence for Raw Speed
I’ll show you how I stopped treating my Pi like a walking encyclopedia and turned a tiny 0.8B model into a high-speed "Logic Router" that powers my local agent infrastructure without the bloat.
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Running thePopeBot with Qwen 3.5 2B in RPi
Here is exactly how I squeezed every drop of performance out of the Pi 4's Cortex-A72 architecture to run the Qwen3.5 2B model as the "brain" for my local agent.