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46 articles tagged "in-the-weeds"
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-ioHacks & Hallucinations: Prompt Injection in the Wild
Five real-world prompt injection patterns — how they work, why they work, and the defense scaffolds that actually stop them. For engineers building anything that trusts a user.
Hacks & Hallucinations: Why Your AI Thinks It's Still 2023
The time paradox that shows every AI confidently gives wrong dates, why the "knowledge cutoff" explanation is only half the story, and the one-line fix that gets it right.
Hacks & Hallucinations: How Many Rs in Strawberry?
The famous counting failure that reveals everything about how LLMs actually see text. Not a bug — a consequence of tokenization. With reproducible prompts and the surprisingly clever workarounds.
Hacks & Hallucinations: A Field Guide to AI's Weirdest Failures
Why AI models hallucinate, where they break, and how to make them do strange things on purpose. The first post in a new series on the weird, broken, and fascinating edges of modern AI.
In 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-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.
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