Matthew Falcomata Topic Hub
Writing on how to evaluate AI tools, compare options, and choose systems that support real business workflows instead of creating more noise.
A focused collection of articles on where this problem tends to show up in real businesses, and what more usable systems can look like in practice.
A practical guide to choosing business process automation tools after the workflow is clear, including existing systems, AI assistants, automation platforms, and custom builds.
Read articleMCP and connectors let AI assistants work with business tools and data. Here is what they mean, when to use them, and how to keep permissions safe.
Read articleA practical guide to keeping secrets, API keys, tokens, local files, connectors, Claude Code, and Codex workflows safer.
Read articleA practical guide to cloud AI tasks, local automations, desktop agents, and what needs your computer to stay awake.
Read articleA practical, non-developer guide to terminal basics for using Claude Code, Codex, local AI tools, MCP servers, and simple automations safely.
Read articleA practical guide to markdown context files, agent instructions, and decision logs for more consistent ChatGPT, Claude, and Codex outputs.
Read articleAI skills are reusable instructions for repeated work. Here is how small businesses can use them with Claude, Codex, ChatGPT, and internal workflows.
Read articleThe strongest AI starting points are usually in admin, follow-up, and internal process consistency rather than ambitious rebuilds.
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