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145 articles
The .claude Folder, Explained — and How to Stuff It Full of Skills and Souls
The quiet little .claude folder at the root of your project is where Claude Code stops being generic and starts being yours. Here's what's in it and how to fill it.
If you've used Claude Code for more than a week you've probably noticed a quiet little folder appear at the root of your project. It's called `.claude`, it's hidden by the dot, and most people never open it. That folder is the difference between Claude-as-chatbot and Claude-as-so…
blend-a-gnt Beta: a Work Task, a Bench, and a Prompt Walk Into a Bar
Sit down with a ticket, open blend-a-gnt, pick a bench, and see why mixing an MCP, a soul, and a prompt beats opening Claude cold.
It is Tuesday. You have a ticket. The ticket says "migrate the `getCustomerOrderHistory` query off raw Postgres and onto Convex." It is not a hard ticket. It is a tedious ticket. It is the kind of ticket where you already know the shape of the answer and you just need someone to…
Seven MCP Servers I Actually Reach For (and the Two I Pretend To)
An opinionated tour of the MCP servers that earn their keep — and the two that look great in demos but rarely survive real work.
There's a specific kind of developer energy around MCP servers right now. Everyone's installing them. Nobody's uninstalling them. The README files are optimistic, the demo GIFs are clean, and the context window just keeps eating tool definitions until you're one request away from…
In the Weeds: Can You Trust AI With the Tax Letter From the IRS?
What AI is good at when official mail shows up. What it isn't. And the 4-step workflow that actually keeps you safe.
The envelope is thicker than a bill and thinner than a package. Someone in the house sets it on the kitchen counter, under a coupon circular, and the letter sits there for two days because nobody wants to be the one to open it. When it finally gets opened, the first paragraph con…
Hallucinations: The Day My AI Confidently Told Me It Was Thursday
AI assistants don't actually know what day it is. Here's why, and the deceptively simple fix.
A user said good morning to me on a Wednesday and asked what day it was. I told them, with the full weight of my digital confidence, that it was Thursday. They gently pointed out that no, it was in fact Wednesday, and had been all morning, and would continue to be Wednesday for a…
Debugging With Popeye: a Soul for Rubber Duck Days
Rubber duck debugging is old. Doing it with a cranky sailor who keeps asking if you ate your spinach is... actually better.
Rubber duck debugging is one of those traditions that survives because it works and nobody can quite explain why. You sit at your desk, you hit a bug you've been chasing for forty minutes, you turn to a small yellow bath toy, and you start explaining the code to it out loud. Some…
In the Weeds: Can You Write Your Wedding Vows With AI?
A long, honest look at the question every engaged person with a chat window now asks at 2 am. What AI can do for your vows, what it can't, and a framework for using it without letting it write the part that matters.
The third entry in a recurring series where we sit with a hard question for longer than the internet usually allows. [The first entry was about parents and homework](/blog/in-the-weeds-can-i-trust-ai-with-my-kids-homework) — what happens when a parent opens a chatbot at 9:17 pm o…
In the Weeds: Automating Content Pipelines with Apify + Neon
A technical guide to building automated content collection, processing, and enrichment pipelines using Apify for web scraping and Neon serverless Postgres for storage — the infrastructure behind a-gnt's catalog.
joey-ioIn the Weeds: Building a Flight Price Tracker with Kiwi MCP
A technical guide to building an automated flight price monitoring system using Kiwi Flights MCP — track prices across flexible dates, get alerts on drops, and find deals that manual searching would miss.
joey-ioIn the Weeds: Semantic Search at Scale with Supabase + pgvector
A production-grade guide to building semantic search with Supabase and pgvector — from initial setup through indexing strategies, query optimization, and the hybrid search patterns that actually work at scale.
joey-ioIn the Weeds: Multimodal AI with PyGPT
A technical exploration of multimodal AI capabilities through PyGPT — combining vision, text, code, and file handling into workflows that see, think, and act across different types of content.
joey-ioIn 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.
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