Automation | Corey Daley

Before the First Commit: What Multi-Agent Sprint Planning Actually Catches

A multi-agent sprint planning workflow ran against a simple Go REST API project and caught three critical security findings before a line of code was written — a logical contradiction in the auth design, a data model bug that would have broken token rotation, and a SQLite gotcha that silently disables foreign key enforcement under connection pooling. Here's what the full planning session produced, and why the review phases are where the value lives.

AI , Automation , Best Practices

agent-config , ai , go , multi-agent , security-review , sprint-planning , sqlite , workflow

From Config Hub to Competing Voices: How agent-config Became My AI Collaboration Stack

The agent-config repository started as a multi-agent configuration hub for Claude, Codex, Copilot, and Gemini. It's now a Claude-specific personal workflow system — but Codex didn't disappear. It got repurposed as a competitive collaborator whose job is to challenge, critique, and improve every output Claude produces. Here's what that evolution looks like in practice.

AI , Automation , Tools

agent-config , ai , automation , claude-code , codex , competitive-drafts , multi-agent , workflow

Polyphon at v0.8.0: The End of the Prototype Phase

When I shipped Polyphon v0.1.0-alpha.2, session export and a plugin system were next on the roadmap. Today it's v0.8.0, and the features that actually changed how the product feels weren't the ones I planned: voices that interact with real files with per-voice sandboxing, whole-database AES-256 encryption with password protection, and FTS5 search that turns conversation history into working memory. This is the release where Polyphon starts to feel trustworthy for real work.

AI , Automation , Tools

ai-tools , electron , encryption , filesystem-tools , full-text-search , local-first , multi-agent , polyphon

Polyphon's MCP Server Makes Your AI Ensemble a Native Agent Tool

Polyphon just shipped MCP server support, and it changes the product's role in a developer workflow. Instead of opening Polyphon as a UI you visit deliberately, your coding agent — Claude Code, Cursor, Codex CLI, GitHub Copilot, Windsurf, Gemini CLI — can now call into it directly and broadcast a prompt across your entire Claude + GPT-4o + Gemini ensemble in one shot. Here's what shifted, why the SessionEventSink abstraction made it possible, and when multi-model review is actually worth it.

AI , Automation , Tools

agent-workflows , ai-orchestration , ai-tools , claude-code , mcp , multi-agent , polyphon

I Built a Tool So AI Models Could Talk to Each Other

Polyphon is a desktop app I shipped this week for orchestrating multiple AI models in a single conversation. Instead of tab-juggling between Claude, GPT, and Gemini, you run all of them as voices in one shared session where they can actually read and respond to each other. Here's why I built it, what technical bets I made, and what I learned on launch day.

AI , Automation , Tools

ai-orchestration , ai-tools , desktop-app , electron , local-first , multi-agent , polyphon

The Blog That Builds Itself: AI Automation Behind the Scenes

This blog runs on a custom automation pipeline where AI agents compete, critique, and synthesize every post. Here's how the /create-blog-post command, a DALL-E 3 image generation script, pre-commit image enforcement, and WebP optimization all compose into a content system that behaves like production software.

AI , Automation , Web Development

ai , automation , blog-workflow , claude-code , codex , dall-e , hugo , pre-commit , webp , workflow

Why I Left Notion and Built My Own AI Agent Plugin for Obsidian

After refusing to pay for yet another AI subscription I couldn't customize, I switched from Notion to Obsidian and discovered there was no way to use my existing AI services inside it. So I built one — an open source AI Agent Sidebar plugin developed with agentic engineering and the dark factory method.

AI , Automation , Tools

agentic-engineering , ai-agents , claude , codex , dark-factory , obsidian , open-source , plugin-development

When Your First Version Fails: Iterating on agent-config with AI

The first version of agent-config tried to impose uniform rules on Claude, Codex, Copilot, and Gemini — and it broke. The fix wasn't better engineering up front. It was accepting failure fast, letting AI handle per-agent format conversion, and shipping a v2 that actually works. Here's what the failure taught about human instinct, AI-assisted iteration, and why failing cheaper is a skill worth building.

AI , Automation , Tools

agent-config , ai , automation , claude-code , developer-tools , iteration , open-source , workflow

Attractor: When Chaos Theory Meets AI Pipeline Orchestration

Attractor is a DOT-based AI pipeline orchestration engine that borrows its name and philosophy from dynamical systems theory. Define your workflow as a Graphviz directed graph, and Attractor pulls multi-LLM execution toward your desired outcome — through conditional branches, retries, human gates, and failure recovery. The entire codebase is AI-generated, making it a live proof of the Software Factory paradigm it embodies.

AI , Attractor , Automation , Tools

agentic-ai , ai-agents , attractor , graphviz-dot , kotlin , multi-llm , pipeline-orchestration , software-factory , workflow-automation

Centralizing AI Agent Configurations with the agent-config Repository

Discover how to manage Claude, Codex, and GitHub Copilot configurations from a single source of truth. The coreydaley/agent-config GitHub repository provides a centralized home for agent instructions, reusable skills, custom commands, subagents, and prompts—with a simple Makefile-based setup that symlinks everything into place across your AI tools.

AI , Automation , Tools

ai , automation , claude-code , codex , developer-tools , github-copilot , open-source , workflow

Automate Your Blog with Notion and AI: A Self-Demonstrating Workflow

Build a self-sustaining blog workflow where ideas become published posts automatically. This comprehensive guide shows how to use Notion to-do lists as your content queue, integrate AI assistants like Claude Code and ChatGPT via Model Context Protocol (MCP), and create a seamless pipeline from idea capture to publication. Learn the technical setup including Notion API configuration, Hugo integration, and how AI reads your ideas, generates complete blog posts with proper formatting, and marks tasks complete—turning content creation from a manual chore into an automated system.

AI , Automation , Productivity

ai-automation , blogging , chatgpt , claude , mcp , notion , productivity , workflow

Managing Blog Posts with GitHub Copilot

Transform your blogging workflow by integrating GitHub Copilot with GitHub Issues and Projects. This guide shows how to automate blog post creation, track progress from idea to publication, and eliminate context switching between multiple tools. Learn how GitHub Copilot can read issue descriptions, generate complete posts with proper frontmatter, automatically close issues when publishing, and create a seamless content management system where ideas become published posts with minimal manual intervention and maximum efficiency.

AI , Automation , Productivity

ai , automation , blogging , github-copilot , productivity , workflow

Category: Automation