Community Blog

In 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.

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In 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.

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In 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-io

In 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.

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In 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-io

In 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.

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In 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-io

In 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.

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In 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.

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In 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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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.

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In 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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In the Weeds: Video Intelligence with Mux and AI

How to build AI-powered video analysis workflows using Mux Video MCP — from automated transcription to intelligent content tagging.

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In the Weeds: RAG from Scratch with txtai

A technical walkthrough of building a Retrieval-Augmented Generation pipeline with txtai — from document ingestion to query-time generation.

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In the Weeds: Building a Personal Research Agent with Apify and Neon

A deep technical tutorial on combining Apify MCP for web scraping, Neon MCP for serverless Postgres, and AI to build a personal research pipeline. Code examples, architecture decisions, and real results.

joey-io

In the Weeds: Can I Trust AI With My Kid's Homework?

A long, honest look at AI homework help — what it's actually good for, what it breaks, and a framework for keeping it useful without letting it do the learning.

The first entry in a recurring series where we sit with a hard question for longer than the internet usually allows.*

In the Weeds: Can You Actually Learn With ChatGPT? A Field Guide for the Honest Student

A long, practical look at what it really means to learn when you have an AI chat window open. The failure modes, the honest uses, and a framework for keeping your own brain in the loop.

The second entry in a recurring series where we sit with a hard question for longer than the internet usually allows. The [first In the Weeds entry was about parenting](/blog/in-the-weeds-can-i-trust-ai-with-my-kids-homework) — specifically, about what happens when a parent opens…

In the Weeds: How to Rehearse a Screen Reader Read-Through Without Installing JAWS

A walkthrough of using AI to simulate a screen reader read-through, the limits of that simulation, and when you need real assistive tech testing.

It's 9:12 on a Tuesday morning, and I have been listening to my own homepage for an hour. Not reading it. Listening. A voice that sounds like a mid-1990s GPS is telling me, "link, link, link, button, heading level two, link, main, navigation, link, link." Somewhere in there is th…