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15h •
🔁 Why AI Makes a Bad Second Opinion (And a Great First One)
There's a specific way a lot of people have started using AI that feels reasonable on the surface but tends to produce weaker outcomes than they expect: making a decision first, then asking AI to check it. "Does this plan make sense?" "Is this the right call?" "Can you sanity-check this approach?" These questions feel like due diligence. In practice, they're often asking AI to validate a decision that's already been made, and AI is structurally not very good at that particular job. The distinction that matters here is sequence. AI brought in before a decision is formed and AI brought in after a decision is formed produce genuinely different kinds of value, and most people default into the second pattern without realizing the first would usually serve them better. ------------- Context ------------- When AI is asked to evaluate a decision that's already been presented as the plan, it tends to find reasonable support for that plan, because the framing of the question shapes the response. Ask "does this make sense" about almost any coherent plan, and a capable AI model will generally find a way to say yes, with some caveats, because most reasonably constructed plans do make some sense, and the question as framed is oriented toward confirmation rather than genuine challenge. This isn't a flaw exactly. It's a reflection of how these tools respond to framing. A question asked in a confirmatory posture tends to get a confirmatory answer, unless the plan is genuinely and obviously flawed. The subtler problems, the ones that a good second opinion is actually supposed to catch, are much less likely to surface when the question is framed as "check this" rather than "help me think through this from scratch." Contrast this with AI brought in before a decision has formed, asked to help explore the problem itself: what are the options, what are the tradeoffs, what am I not considering. This framing produces a genuinely different quality of engagement, because there's no existing conclusion for the response to gravitate toward. The AI is helping construct thinking rather than validate a thought that's already complete.
Pinned
5d •
OpenAI Just Rebuilt ChatGPT
OpenAI put out a ton of new stuff this week including the public release of the GPT-5.6 family of models, the new ChatGPT Work app that will be merging Codex and ChatGPT capabilities, a new voice mode, improvements to the speech-to-text dictation, and more! I break it all down for you here, enjoy! Want to save time, get more leverage, and stop figuring this AI stuff out from scratch? I put the clearest map and support inside the AI Advantage Club
Pinned
3d •
Keep Going. You're Building Something Bigger Than You Think.
There's a season where you're doing everything right... You're showing up. You're putting in the work. You're staying consistent. And it still feels like nothing is changing. No momentum. No big breakthrough. No proof that it's working. This is the moment that separates people. Not because the work got harder... but because they mistake a lack of results for a lack of progress. What I've learned after decades in business is this: The invisible season is where everything important gets built. Your discipline. Your resilience. Your standards. Your identity. The results come later. Success rarely announces itself while it's being built. It compounds quietly... until one day everyone calls it an overnight success. If you're in that season right now, don't quit. The work you're doing today is building the life you'll eventually be grateful you didn't give up on.
5d •
⏰ AI Made Everything Feel Urgent. Most of It Isn't.
There used to be a natural pace to work that came from the friction embedded in doing it. Drafting something took time, so a request for a draft naturally sat in a queue for a while before it could be addressed. Research took time, so a question requiring research had a built-in delay before an answer could arrive. This friction wasn't designed as a prioritization system, but it functioned as one anyway: things that required more effort naturally got triaged and sequenced, because they couldn't all happen immediately. AI has removed a significant amount of that friction, and in doing so, it's removed the informal prioritization system that used to come with it. Nearly everything can now be actioned immediately. And immediate actionability is quietly getting mistaken for immediate necessity, in a pattern that's driving a specific and underexamined form of overwhelm. ------------- Context ------------- Before AI, the time required to complete a task functioned as a natural filter on what could realistically happen right now versus what had to wait. A request that would take three hours to fulfill couldn't be actioned in the next ten minutes, regardless of how urgently it was framed, simply because the work took time. This created an implicit form of triage: things got sequenced by a combination of actual priority and practical feasibility, and the feasibility constraint did a lot of quiet work in keeping the pace of a day manageable. AI has collapsed the feasibility constraint for a huge range of tasks. A request that used to require hours can now be actioned in minutes. This is a genuine advantage in many cases. But it also means that the natural pacing mechanism that used to exist alongside the feasibility constraint is gone, and nothing has automatically replaced it. Everything that arrives now carries an implicit invitation to be handled immediately, because immediate handling is now technically possible in a way it never used to be. The psychological effect of this shift is significant and underappreciated. When something is technically actionable right now, there's a pull toward treating it as though it should be actioned right now, even when the actual priority of the task hasn't changed at all. Feasibility and urgency are different things, but in a world where almost everything has become instantly feasible, the distinction is easy to lose.
4m •
Don't Just Plan Trips. Design Your Life.
I had an unexpected realization tonight. A friend shared how they organize their vacations. Not just a bucket list... They have categories. 🏔️ Epic Expeditions 🌴 Grand Getaways 🚗 Quick Quests 🌅 Weekend Wanderings My first thought was... "Wow... they really have their life together." Then it hit me. Most of us don't need another productivity hack. We need a better system for intentionally designing the life we actually want. It made me wonder... What if we organized our entire lives this way? ❤️ Family Memories ✍️ Creative Adventures 🌊 Beach Walks 💪 Health Quests 💰 Freedom Projects 📚 Learning Expeditions One of the biggest shifts AI has helped me make is asking better questions. Instead of: "What should I do today?" I now ask: "What kind of life am I intentionally creating?" That one question changes everything. AI isn't just helping me build a business anymore. It's helping me design a life I'm genuinely excited to wake up to. What category would you add to your own life? 👇
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