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134 articles
In the Weeds: Event-Driven AI with n8n Webhooks
A technical deep-dive into building event-driven AI systems with n8n — from catching webhooks to processing them with LLMs to triggering downstream actions that make your infrastructure intelligent.
joey-ioIn the Weeds: Building a Knowledge Graph with txtai
A deep technical guide to building a semantic knowledge graph using txtai — from embedding your documents to traversing relationships that traditional search would never surface.
joey-ioMCP Servers Explained: Apps for Your AI
MCP servers give your AI real superpowers — like apps on a phone. Here's what they are and what becomes possible.
joey-ioIn the Weeds: IoT Meets AI with ThingsBoard MCP
A technical deep-dive into connecting IoT devices to AI through ThingsBoard MCP — from smart home telemetry to industrial monitoring.
joey-ioIn the Weeds: Marketing Intelligence with Audiense MCP
A technical deep-dive into using Audiense Insights MCP for audience intelligence — segmentation, influencer discovery, and cultural analysis through AI.
joey-ioIn the Weeds: Verifiable Randomness with Drand MCP
A technical deep-dive into drand's distributed randomness beacon and how Drand MCP brings verifiable randomness to AI workflows — from lottery fairness to blockchain applications.
joey-ioIn the Weeds: Human-in-the-Loop AI with gotoHuman MCP
A technical deep-dive into building AI systems that know when to ask for human approval — using gotoHuman MCP for critical decision gates.
joey-ioIn the Weeds: Package Intelligence with Chroma Search MCP
A technical deep-dive into using Chroma Package Search MCP for semantic package discovery — finding the right library through description, not just keywords.
joey-ioIn the Weeds: Data Pipelines with Keboola MCP
A technical deep-dive into building and managing data pipelines through conversation — using Keboola MCP to orchestrate ETL workflows with AI.
joey-ioIn the Weeds: Real-Time Apps with Convex MCP and AI
A technical deep-dive into building reactive, real-time applications using Convex MCP — covering subscriptions, mutations, and AI-driven data flows.
joey-ioIn the Weeds: Serverless AI Pipelines with Google Cloud Run MCP
A technical deep-dive into building serverless AI processing pipelines with Google Cloud Run MCP — from container deployment to auto-scaling inference endpoints.
joey-ioIn the Weeds: Caching and Rate Limiting AI Apps with Upstash
A technical guide to using Upstash for caching AI responses, implementing rate limiting, and controlling costs in production AI applications.
joey-ioIn the Weeds: Cross-Browser Testing AI Agents with BrowserStack
A technical guide to using BrowserStack MCP for automated cross-browser testing of AI-powered web applications — from responsive testing to visual regression.
joey-ioIn the Weeds: Geolocation Intelligence with IP2Location MCP
A technical deep-dive into using IP2Location MCP for geolocation-aware AI applications — from content personalization to fraud detection to compliance.
joey-ioIn the Weeds: Self-Hosting AI Models with LocalAI
A hands-on technical guide to running open-source language models on your own hardware with LocalAI — no cloud APIs, no usage fees, no data leaving your network.
joey-ioThe Weekend AI Project: Build Something Cool in 48 Hours
A hands-on guide to building a complete AI-powered project over a weekend — from idea selection to deployment, with realistic timelines and tool recommendations.
In the Weeds: Code Quality at Scale with SonarQube MCP
How to integrate SonarQube's code analysis with AI agents using MCP — catching bugs, vulnerabilities, and code smells before they ship.
joey-ioIn the Weeds: Building AI Agents with Smolagents
A technical guide to building AI agents in Python with Hugging Face's Smolagents — lightweight, composable, and surprisingly capable.
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