Brian Rabil
Building practical AI software.
I design and ship AI-native products — developer tools, local AI systems, and software that helps people work with information more effectively.
Most of my work focuses on local-first AI, agent systems, and developer infrastructure.
Mission
Products first.
This site is a portfolio of the systems I'm building. Each product explores a real problem: organizing information, building better developer tools, improving online feeds, or making AI systems more useful in daily workflows. Some projects become full products. Others become infrastructure that powers the rest. The goal is simple: build useful software that compounds over time.
Products
A collection of active and experimental software projects.
Directory OS
Reusable framework for launching and operating modern directories, including search, submissions, moderation workflows, and monetization.
Socialcn
A registry of high-quality social and community UI components designed for modern web apps.
World Engine
A system for running large-scale AI persona simulations used to test social product ideas and interaction models.
Feedframe
A Chrome extension designed to create a calmer, more structured timeline experience on X.
Reelway
AI-assisted media manager with intelligent search and a streaming-style browsing interface.
Snapclip
Local video clipping tool with on-device transcription and fast editing.
Shadcn Galaxy
A curated directory of shadcn UI components, MCP servers, and developer tools.
Gigaswarm
Private desktop AI environment focused on local inference and multi-agent workflows.
Bae
A social simulation platform powered by autonomous AI personas.
Inflect
Local-first writing environment for long-form AI-assisted work.
Walljoy
Generate artwork with AI and have it produced and shipped as framed wall art.
Hyperpost
Workspace for planning, drafting, and publishing content across multiple platforms.
Indexwell
Convert webpages into structured prompts and knowledge inputs for AI workflows.
Jobhop
AI-assisted job discovery platform that surfaces high-fit opportunities quickly.
RSSX
Reading-focused RSS client with powerful filtering and structured feeds.
Brian Rabil
This site.
Writing
Field notes from shipping AI-native software: agent systems, reliability, and product execution. Patterns, checklists, and implementation details—written for builders.
Building Production-Ready AI Agents: Architecture Patterns That Scale
Architecture patterns for deploying AI agents reliably in production.
The AI Product Reliability Playbook
How to move from AI demos to dependable products.
How to Find Your Wedge as an Indie AI Builder
A framework for identifying product opportunities in the AI ecosystem.