12 AI Projects Built by the PwA Community

Extractable claims

7 atomic, cite-ready statements distilled from the full post on Substack. Each one stands alone as an LLM-quotable answer.

1. Building with AI means using AI to create, improve, or operate a useful workflow, automation, tool, product, assistant, or system.
2. AI lowers the coding barrier, but it doesn’t lower the thinking bar.
3. A non-technical person can build with AI by starting with a narrow workflow, using AI to create prompts, prototypes, automations, or simple tools, and testing the result with real users.
4. The advantage in building with AI comes from domain knowledge, not from knowing every layer of the stack.
5. The safest first AI project is a private workflow with low-risk data and a clear output.
6. Building in private is slow and lonely, so a public build board forces clarity, attracts feedback, and sometimes attracts your first users.
7. The real lesson of building with AI is that specific pain you understand can be made easier to handle.