About GoodUse.ai
Most teams already have the data they need. The hard part is knowing what to do with it.
GoodUse.ai was created to make that step simpler — a calm, guided way to turn everyday business data into clear ideas and buildable AI workflows. No dashboards. No buzzwords. No engineering heavy-lifting. Just simple steps you can actually explain to a real person.
Many teams sit on valuable information — support tickets, CRM notes, surveys, product feedback, training docs — but don’t have a clear picture of what AI could realistically do with it. GoodUse.ai helps by showing:
- What to build
- Why it matters
- How it works
The GoodUse.ai Toolkit
A small set of tools designed to work together, each focused on a specific part of the AI adoption process:
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Use Case Generator
Turn your existing data into clear, high-signal AI concepts — framed in plain language and grounded in real impact. -
Agent Architect
Define a workflow step-by-step and get a complete agent blueprint — including inputs, behavior, and outputs — ready for hand-off to engineering. -
Threadmark
A lightweight way to save and revisit important moments from long AI conversations — ideas, decisions, and context you don’t want to lose as you work.
Our Approach
GoodUse.ai is built around a simple idea: AI should be something you can actually use — not something you need a three-hour meeting to understand.
Clear steps. Human language. No complexity for the sake of complexity. Workflow-first, not model-first.
That same thinking applies to tools like Threadmark. As AI becomes part of daily work, the challenge isn’t generating ideas — it’s keeping track of the good ones.
GoodUse.ai was designed and built by Scott Kominsky — a product leader who focuses on practical, human-centered software and clear decision-making. This site is a place to explore ideas, test assumptions, and ship small tools that feel useful right away.
More small builds will follow.
Want to stay in the loop? Connect on LinkedIn .