<p>Most marketing AI tools live in a browser tab and forget your files the moment you close the chat.</p> <p><strong>aiFetchly</strong> is an open-source, local-first
<p><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer
<!-- SC_OFF --><div class="md"><p>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot
<p>I'm a huge fan of coding agents. My daily consumption is at about <strong>7 million tokens</strong> and growing. I started on Cursor, fell in love with OpenCode, got into
<!-- SC_OFF --><div class="md"><p>Most of my LLM cost was on the wrong tier of work.</p> <p>Classification, extraction, JSON formatting, summarization I'm going to review anyway.
<h1> How I Let an AI Agent Run 100 ML Experiments Overnight on a $500 GPU </h1> <p>Last week I let an AI agent run 100 machine learning experiments overnight on my RTX 3070. I
<!-- SC_OFF --><div class="md"><p>I've been thinking about why local-first AI agent architectures are getting serious enterprise traction in 2026, beyond the obvious "keep
<p>I've been running <a href="https://github.com/openclaw/openclaw" rel="noopener noreferrer">OpenClaw</a> as my personal AI assistant for a while — text-based, the usual way. It
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