<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tui on Start AI Tools - Presented by Intent Solutions</title><link>https://startaitools.com/tags/tui/</link><description>Recent content in Tui on Start AI Tools - Presented by Intent Solutions</description><generator>Hugo</generator><language>en-US</language><copyright>Intent Solutions. All rights reserved.</copyright><lastBuildDate>Thu, 09 Apr 2026 22:58:47 -0500</lastBuildDate><atom:link href="https://startaitools.com/tags/tui/index.xml" rel="self" type="application/rss+xml"/><item><title>New Year's Day: Gastown Viewer, STCI Launch, and Four Repos Deep</title><link>https://startaitools.com/posts/new-years-day-gastown-viewer-stci-launch/</link><pubDate>Thu, 01 Jan 2026 10:00:00 -0600</pubDate><guid>https://startaitools.com/posts/new-years-day-gastown-viewer-stci-launch/</guid><description>&lt;p&gt;Most people start the new year with resolutions. I started it with goreleaser configs and daemon HTTP APIs.&lt;/p&gt;
&lt;p&gt;January 1st hit 26 commits across 4 repos. Not a typo. Here&amp;rsquo;s what shipped.&lt;/p&gt;
&lt;h2 id="gastown-viewer-scaffold-to-mvp"&gt;Gastown Viewer: Scaffold to MVP&lt;/h2&gt;
&lt;p&gt;Gastown Viewer went from an empty directory to a working product in a single day. The concept: a TUI and web interface for viewing and navigating structured intent data, backed by a daemon HTTP API.&lt;/p&gt;</description></item><item><title>Dream Gym Sprints, Email AI Stack, and 128 RSS Feeds</title><link>https://startaitools.com/posts/dream-gym-sprints-email-ai-stack-perception-feeds/</link><pubDate>Mon, 29 Dec 2025 10:00:00 -0600</pubDate><guid>https://startaitools.com/posts/dream-gym-sprints-email-ai-stack-perception-feeds/</guid><description>&lt;p&gt;Four projects. Thirty-eight commits. Two of them are building real product features, one is growing into an intelligence platform, and one just needed a Dockerfile fix.&lt;/p&gt;
&lt;h2 id="dream-gym-sprints-1-through-3"&gt;Dream Gym: Sprints 1 Through 3&lt;/h2&gt;
&lt;p&gt;Hustle&amp;rsquo;s Dream Gym module went from concept to working product in three sprints and fourteen commits.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Sprint 1: Workout Logging.&lt;/strong&gt; The core data model is straightforward — exercises, sets, reps, weight, duration. But the UX question was whether to optimize for speed or detail. Speed won.&lt;/p&gt;</description></item></channel></rss>