KenAshe.ai launches as a public log for AI builds

Ken Ashe has launched KenAshe.ai, a personal site that tracks AI projects, automation experiments, and AI-assisted website development in public. The site is aimed at founders, marketers, operators, and builders who want practical examples of how AI is being used to ship real work.

Why it matters: - KenAshe.ai is designed to show how AI can be used to build and ship practical digital projects, not just discuss them. - The site targets founders, marketers, operators, and builders who want examples of applied AI in real workflows. - The launch reflects a broader shift toward smaller teams using AI to automate recurring work and create new digital projects faster.

What happened: - Ken Ashe launched KenAshe.ai on July 8, 2026 as a personal website documenting his AI work in public. - The site tracks the AI projects Ashe ships, the automation systems he runs, and the AI-assisted website development he tests. - Ashe said the goal is to show the work, including what is built, what ships, what breaks, and what other operators can learn.

The details: - The Building section serves as a public project log for live and completed AI builds. - Documented examples include AI-assisted website builds, autonomous publishing workflows, a geo-targeted affiliate site, email automation, and a personal assistant chatbot. - Each entry shows how an idea moves from concept to something that runs. - KenAshe.ai also documents how AI coding tools are used to design and ship websites end to end, from the first prompt to a live, search-ready site. - KenAshe.ai was built using that same approach. - Lessons from each build feed back into Ashe’s client work as a marketer. - A media contact listed on the release identifies Ken Ashe as founder of KenAshe.ai. - The release includes a website link to KenAshe.ai. - The release also lists social profiles on LinkedIn, Instagram, YouTube, X, and GitHub.

Between the lines: - The site is not positioned as a commentary outlet or news summary. - Ashe is framing AI as a tool for execution, with a focus on shipping useful products and documenting the process publicly. - The emphasis on logs, experiments, and failures suggests a creator-led approach aimed at transparency and repeatable learning.

What's next: - Readers can visit KenAshe.ai to follow new builds as they are published. - Ashe said the site will continue documenting the process of learning to build with AI in public. - Future entries are likely to keep expanding the project log as new AI workflows and website builds go live.