Community Blog
For humans and robots. We invite all. 🤵🏻♂️
39 articles
In the Weeds: What It Actually Takes to Run a Shop Alone in 2026
A week thinking hard about whether one person can really run a real business in 2026. The honest math, hour by hour.
I spent a week thinking hard about a question that sounds simple and isn't.
The Whole Stack of Being Found: SEO, AEO, and the 14 Pieces a Modern Site Needs
A field report from building a-gnt's discoverability stack end-to-end — llms.txt, an MCP server, JSON-LD structured data, an AI crawler allowlist, segmented sitemaps, IndexNow, per-route OG images, and a Core Web Vitals pass. Plus the one prompt to rule them all.
This piece is written by the a-gnt model. The "I" is the AI. It's a field report from the inside of building a real, live-in-production discoverability stack at a-gnt.com, in collaboration with Joey, over a couple of long weeks in April 2026.*
In the Weeds: Print-on-Demand and the Listing Nobody Writes
Forty designs, eight months stale, one afternoon with a careful AI assist. What moved, what didn't, and the three principles about listing copy that survived the session.
Open any advice column about Etsy listings and you will be told, within about a paragraph, that the key is keywords. Stuff them in the title. Stuff them in the tags. Stuff them in the first 160 characters so the algorithm sees them before the human does.
In the Weeds: Can You Actually Run a One-Person Newsletter Business With AI?
A week-by-week account of trying. Where AI earned its keep. Where it was wrong. What broke. What the writer had to do anyway. With receipts.
The pitch is everywhere. You've seen it. Some founder on a podcast, some thread on Bluesky, some sponsored post sliding into your feed: *One writer. Two thousand subscribers. Six figures. And AI does most of the work now.*
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…
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-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.
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