Community Blog

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: 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-io

In 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-io

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.

joey-io

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.

joey-io

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.

joey-io

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.

joey-io

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