Community Blog

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.

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In 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.

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In 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.

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In 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.