<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Solutions on AIBussin — AI applications, systems and books</title><link>https://aibussin.com/solutions/</link><description>Recent content in Solutions on AIBussin — AI applications, systems and books</description><generator>Hugo</generator><language>en-US</language><atom:link href="https://aibussin.com/solutions/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Systems</title><link>https://aibussin.com/solutions/prompt-systems/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://aibussin.com/solutions/prompt-systems/</guid><description>&lt;p&gt;Explore the prompt library, reusable techniques, builder and recorded sessions as one practical system for working with AI.&lt;/p&gt;</description></item><item><title>AI Toolkit</title><link>https://aibussin.com/solutions/ai-toolkit/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://aibussin.com/solutions/ai-toolkit/</guid><description>&lt;p&gt;Use the toolkit to move from an idea in a book to a concrete task: research, planning, writing, reflection and building.&lt;/p&gt;</description></item><item><title>Browser AI</title><link>https://aibussin.com/solutions/browser-ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://aibussin.com/solutions/browser-ai/</guid><description>&lt;p&gt;Follow the browser-native path from capability detection and observability to tools, security and local policy.&lt;/p&gt;</description></item><item><title>RELATE</title><link>https://aibussin.com/solutions/relate/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://aibussin.com/solutions/relate/</guid><description>&lt;p&gt;RELATE is the applied destination of &lt;em&gt;Embeddings From First Principles&lt;/em&gt;: the point where representation, similarity, retrieval, calibration, cross-space alignment and compression combine into infrastructure that reports its own limits.&lt;/p&gt;&#10;&lt;p&gt;The book establishes the mechanism layer first — what it means for information to become geometry, and the measurable conditions under which distance tracks meaning. This solution page will grow into the inspectable runtime once the experimental work lands.&lt;/p&gt;</description></item><item><title>Self-Improving Engineering Program</title><link>https://aibussin.com/solutions/self-improving-engineering-program/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://aibussin.com/solutions/self-improving-engineering-program/</guid><description>&lt;p&gt;This solution is the applied destination of &lt;em&gt;DSPy From First Principles&lt;/em&gt;: moving from handwritten prompts to language-model programs with contracts, datasets, metrics, optimizers, tool boundaries, context strategies, experimental firewalls and promotion policies.&lt;/p&gt;&#10;&lt;p&gt;The book&amp;rsquo;s empirical question — how optimization changes when correctness moves from a proxy for judgment to evidence produced by the environment — becomes the acceptance criteria here. This page will grow into the inspectable implementation once the experimental work lands.&lt;/p&gt;</description></item></channel></rss>