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🗂️ Meeting Gravity, Using AI to Reduce Meeting Hours and Handoff Latency
Meetings are rarely the real problem. The real problem is what meetings are compensating for: unclear context, scattered information, slow decisions, and fragile handoffs. When we lack shared clarity, we reach for synchronous time because it feels safer. But that safety is expensive. A 30-minute meeting often costs 90 minutes once we account for prep, context switching, and follow-up. AI helps us reclaim time by making work more “async-ready.” When information is packaged well and decisions are made with clear inputs, we can reduce meeting hours without losing alignment. We do not remove communication, we redesign it so it wastes fewer hours. ------------- Context: Why Meetings Keep Expanding Even When We Do Not Want Them ------------- Most of us have felt the creep. A weekly sync becomes twice a week. A quick check-in gains an agenda, then a recurring invite. We tell ourselves the meetings are necessary, but often they are a symptom of a deeper time leak: the system cannot move work forward without real-time coordination. Meetings expand when: - People cannot find the latest context quickly. - Decisions are unclear, so we talk instead of choose. - Handoffs are messy, so we “walk through it” live. - Accountability is fuzzy, so we meet to feel progress. - Uncertainty rises, so we sync to reduce anxiety. The result is meeting gravity. Work gets pulled into the calendar. Deep work gets squeezed into the margins. Context switching frequency spikes, and the day becomes fragmented. Fragmentation is where our hours vanish, not because we are doing nothing, but because we cannot finish anything in one focused block. A micro-scenario: a cross-functional project with marketing, product, and sales. Everyone wants alignment, so they meet. But the meetings keep recurring because the handoffs between groups are unclear. After each call, people leave with different interpretations, and new questions arise. The team spends more time coordinating than producing. This is where the time mindset matters. Meetings are a resource like money. If we spend them without ROI, we are burning the team’s attention budget.
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🗂️ Meeting Gravity, Using AI to Reduce Meeting Hours and Handoff Latency
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Quick Check In
It’s almost March. Be honest. Are you still going after the goals you set in January…or have you quietly adjusted them to feel more comfortable? This is the part of the year nobody talks about. The hype is gone. The excitement faded. Now it’s just discipline. At some point it stops being about motivation. It becomes about keeping your word to yourself. So I’ll ask you straight: Are you growing into who you said you wanted to become this year? 👇 Where are you at right now...crushing it, coasting, or recalibrating?
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The Best Free AI Got a MASSIVE Upgrade & More AI News You Can Use
This week, I break down some huge updates to Claude that, combined with the introduction of ads in ChatGPT, make Claude the best AI if you're on a free plan. Plus, I cover the barrage of OpenAI news and releases, discusses the evolution of the "OpenClaw" movement, and more. Enjoy!
📰 AI News: OpenAI’s Next Gadget Might Be A Smart Speaker With A Camera, While The Company Burns Billions
📝 TL;DR OpenAI is reportedly working on a ChatGPT powered smart speaker with a camera, but the real headline is the timing. The company is spending at a staggering rate, and this hardware push looks like a high stakes bet to find a new growth engine beyond subscriptions and APIs. 🧠 Overview Reports say OpenAI has a large internal team building consumer devices, starting with a smart speaker that includes a camera to understand what is happening in a room and who is speaking. The device is said to be part of a broader hardware roadmap that could also include glasses and other form factors. What makes this news hit harder is the money side. Multiple reports and estimates suggest OpenAI is running massive losses and cash burn, meaning it needs either much higher revenue, much lower costs, or a breakout new product category. Hardware could be that, but it is also expensive and risky. 📜 The Announcement OpenAI is reportedly developing its first major consumer hardware product, a smart speaker with a camera, with a target price in the low hundreds of dollars and a launch that may still be more than a year away. The camera component is framed as “environment awareness,” so the device can identify objects, context, and potentially users. At the same time, financial reporting around OpenAI continues to highlight deep losses and high compute costs. Several outlets have reported projections of multi billion dollar annual losses and growing cash burn as model training and inference demand accelerates. ⚙️ How It Works • Hardware as a new interface - A speaker plus camera lets AI respond to what it sees and hears, not just what you type, which shifts ChatGPT from an app into a presence in your space. • “Ambient” AI ambition - The pitch is fewer screens and more always available assistance, hands free, context aware, and proactive. • Expensive compute meets expensive hardware - OpenAI is already spending heavily on compute, adding hardware introduces manufacturing, distribution, support, and returns, which can amplify burn.
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📰 AI News: OpenAI’s Next Gadget Might Be A Smart Speaker With A Camera, While The Company Burns Billions
Custom GPTs: The Fix for “ChatGPT Rework” (And Why That Matters for Business Growth)
Most solopreneurs don’t struggle with ChatGPT because they don’t know what to ask. They struggle because getting consistently usable output is slow, repetitive, and mentally expensive. You open ChatGPT with good intentions. You want to write a post, reply to a client, create an onboarding flow, outline an offer, or draft support replies. Then the “setup work” starts. Re-explaining your offer. Re-stating your tone. Re-adding context. Repeating rules. Correcting things it assumed. Fixing formatting. Rewriting to sound like you. Suddenly the focus shifts from doing the work… to managing the AI. It doesn’t break because ChatGPT isn’t valuable. It breaks because using it consistently feels heavier than it should. ---------- THE REAL PROBLEM ---------- The real problem isn’t “how do I use ChatGPT?” The real problem is AI workflow friction. For most solopreneurs, ChatGPT touches everything: Content. Sales pages. Client messages. Onboarding. Support. Internal planning. SOPs. And the cost isn’t just time typing prompts. It’s the constant drag of having to “re-brief” the AI from scratch just to get output that’s close to what you actually want. When output is inconsistent, one of two things happens: You either accept mediocre drafts… or you over-edit and burn time you should’ve spent on strategy, delivery, outreach, or fulfillment. ---------- WHY THIS MATTERS ---------- Because inconsistency is not neutral. It slows execution. Solopreneurs don’t lose because they lack ideas.They lose because they can’t ship consistently without burning out. And if you have a VA (or even one contractor), inconsistency becomes a multiplier: Different tone. Different structure. Different decisions. Different “versions” of your business. That creates more back-and-forth, more rework, and more mental load for you. ---------- CHATGPT SHOULD BE A SYSTEM ---------- The highest leverage businesses don’t “wing it” every time. They standardize what works. That’s what a Custom GPT really is: Not “a fancy version of ChatGPT.”
Custom GPTs: The Fix for “ChatGPT Rework” (And Why That Matters for Business Growth)
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