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Open Source Doing Its Thing...
AI agents can now text you on iMessage from a Linux server. No Mac, no Apple hardware. https://x.com/ryanzhuuuu/status/2064779443512725675?s=61
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What Happens When You Feed ChatGPT Only Half the Conversation?
One of my action items from the other day’s Daily Sigh was to create a Chrome plugin to capture LLM conversations for archival purposes, a second brain-type system. Tonight I started testing the plugin that I coded on ChatGPT and it seems to be working so far. In my very limited testing I didn’t crash my browser or anything, so that’s always a plus. What I did was load up a prior conversation thread in ChatGPT, capture the conversation, and one of my epiphanies was that I only really need to capture the user side because the generative output can always be regenerated if we need it. The purpose of the second brain is not necessarily conversational content as an archive, but more of a reference point for what was I thinking about when and what kind of meta analysis can I do on my own patterns. The response from the LLM is kind of irrelevant to all of that. I loaded up a chat I had with ChatGPT a couple of days ago about ordering from Chipotle. I fed the one-sided conversation back into ChatGPT and asked it this question: > Below is my side of a conversation with an AI agent. What inferences can you draw about me from this one side of a conversation? TL;DR - I think my operating assumption that we don't need the output is correct. Here is the output: From just this short exchange, you actually reveal a fair amount—mostly behavioral patterns, constraints, and decision heuristics rather than deep identity traits. Here’s a structured breakdown. 1. You optimize for constraints, not ideals Your framing is very telling: - “I don’t want to cook” - “I do want to eat” - “Not too terrible” - “Ketogenic friendly” - “Quick” This is classic constraint-based decision making, not aspirational optimization. Inference: - You are pragmatic, not perfectionist. - You operate in a “good enough within constraints” model rather than chasing optimal nutrition. - You likely make similar tradeoffs in other domains (time vs quality vs effort). 2. You think in terms of systems and rules (not vibes)
I'm Planning a FREE Live Automation Workshop...
Based on the challenges I'm seeing across our community, I want to run a deep-dive workshop where we build actual automations together - not just theory. But here's what I need from you: I want to make this workshop laser-focused on solving the exact automation challenges you're facing right now. No generic advice - just solutions for the specific bottlenecks that are actually costing you time and money. Vote below for your biggest automation priority (and feel free to explain your specific situation in the comments): In the comments, tell me: 1. Which option you voted for 2. The specific manual task that's eating up most of your time 3. What you've already tried (if anything) and why it didn't work The workshop will be hands-on. We'll screen-share, build real automations together, and you'll leave with systems that actually work in your business. No theory. Just practical automation that gives you your time back. Drop your vote and your specific challenge below 👇 P.S. - If you're still doing tasks that could be automated, you're not building a business - you're building yourself a very expensive job. Let's fix that. P.P.S. Let me know if you want to do a live automations for someone. If so, I would need volunteers :)
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What’s one task you’d love to automate but haven’t yet?
Maybe it feels too complex, or you’re not sure where to start — drop it below. 👇 Who knows, someone here might already have the perfect system or tool to help you crack it. 🚀
from vibecoding to elementor/webflow?
I've recently discovered this youtube video and now i'm implementing it that teaches how to go from a landing page on claude ai or lovable to wordpress elementor. if anyone needs it feel free to watch it. https://www.youtube.com/watch?v=TXVyw-4PrvY
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