Yesterday, while engaging in a fun conversation about the meaning of the word CONTEXT, my head was swirling. I used to use ‘context’ all the time to make clear points in my work, but now… I couldn’t remember! I felt my heart rate pick up as I tried to pull up in my mind the relevance of the word ‘context’ in my world… … and couldn’t. Context is what determines what becomes possible. The pH level in blood that either encourages or discourages the growth of cancer cells. The temperature in an oven that bakes a cake or doesn’t. The level of warmth and trust in a relational field that supports a significant agreement to exchange value or not. In yesterday’s conversation, the context didn’t allow me access to my typical use of the word ‘context’. If a context can make it possible for me to forget a core aspect of my work, what else is it making possible, both as individuals and as a collective, beneath our conscious awareness? Context is the water we’re swimming in. We don’t notice it as it shapes every possibility. Our stories are only stories because of our context. In the world of the Story of Separation (term coined by Charles Eisenstein), we observe a particular context that allows for specific conditions to proliferate: 🔸 scarcity 🔸 extraction 🔸 fear In the world between stories, we can observe a context as well: 🔸 curiosity 🔸 generosity 🔸 interconnection Right now, if you’re sensing both worlds, like many are, the experience is quite conflicting. It can feel very dissonant as these two contexts vie for our attention. And once we see what’s actually controlling possibility, we can’t unsee it.

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)

Hey everyone, has anyone solved a workflow like this before? We’re building a “second brain” for the leadership team at Montessori Thrive. The goal is not just to store docs, but to process them as they come in — add metadata. Where we’re stuck is the trigger. We have documents spread across multiple Google accounts, and we’re trying to consolidate everything into one main Google User account (leadership@). What we want is a very simple pipeline: File gets dropped into one intake folder → that triggers processing automatically → Claude adds metadata and categorizes it → then it gets moved into the right place in the Leadership Drive. Right now, we’re still stuck in a manual download → upload → reorganize loop, and that’s slowing everything down. What we’re trying to avoid: manual download / re-upload having to keep telling the system what to do any workflow that breaks unless a human babysits it What we need: a simple folder-based trigger file transfer between Google accounts at scale automatic processing during ingestion ideally one workflow that handles both transfer and structuring We’re open to scrappy solutions, automations, or even “we tried this and it was a disaster” stories. Would love to hear how others have handled this.

Hi All. Like many of you, I have been in and out of entrepreneurship for many years. A few weeks ago something clicked. I decided to take my 25+ years of working with Fortune 100s as a business transformation consultant and direct it toward the small business owners who need it most. The things I have learned from Kasim, Julian, Perry and others fell into place and synced with my "Why." Helping small businesses operate like the bigger ones feels unapologetically right. Excited, a little nervous, and all in. The boats have been burned.

When you think of something 5 minutes after you need it... Just got off the daily live and @Dylan Fetch (hope that's the right tag!) and I were having a discussion about the taking away of information from LLMs and whether that means to add or remove context. I gave the analogy of Michelangelo's story, where somebody asks him how he carves this block of marble into this beautiful statue. Michelangelo replies that the statue was already there. He's just removing everything that was not the statue. In the context of AI prompting the statue is the context that we are applying to some of the knowledge that the AI systems have. I think that makes more sense.