The amount of calendar SPAM is crazy ATM. Feels like agents are being deployed and paid on a “per meeting” basis. So just spam as many as you can to get paid. 🤷‍♂️

A simple agent every SMB platform like @owner, @heyfresha, @Vagaro, @mindbody @Square et al, should offer: Continuously check that every listed email address and contact form actually works 🤷‍♂️ It’s amazing how many local businesses quietly lose customers because nobody notices they’re broken. 😵‍💫

I run to stay fit, problem solve and decompress… on some runs now I start a @meetgranola, and just ramble off my thoughts as they come to me. Yes I look crazy… but it’s so good at capturing everything, when thoughts are most clear.

Was great chat mate! Glad it resonated and watch out for Bolt ⚡️, our AI native developer environment dropping next week 💪

One build on the intelligence layer. For it to be truly effective it also needs real-world context, an intelligence layer can only act on what it understands. A merchant’s cash flow model can predict seasonal dips, but only if it understands that the stadium next door just announced its summer concert schedule, that a major convention is coming to town, or that a street closure is about to reroute foot traffic for the next two weeks. The real-world context that turns a smart solution into an accurate, trusted and explainable one.

Every kiwi right now.

Moving from 🇳🇿 to the 🇺🇸 was tough. So many hurdles, wasted time and stress 😵‍💫. A lot of this is now avoidable with AI. If I had to do it again today, this is the stack I’d build: 🤚 First step: create a clean shared folder with your partner and put everything in it. Assets, insurance, tax returns, medical records, school reports, legal docs, visas. The model is only as good as the context you give it. Then layer AI on top of that. 💵 Cross-Border Tax Copilot ( @claudeai Co-work ) Tax across countries gets complex fast. Connect everything: tax returns, trusts, investments, cap table, shareholder agreements. Let the model reason over the full picture before you talk to your accountant. 🩺 Health Navigator ( @ChatGPTapp Project ) Switching from NZ to US health care was a shock. Navigating this is tough. Connect family history, MRIs, lab results, prescriptions, insurance policies and specialist notes. Use it to prepare for appointments and understand treatment options. 🎒 Kids Education Guide ( ChatGPT Project ) Especially important if your kids have dyslexia or learning differences. Store assessments, school reports, teacher feedback and plans. This history becomes incredibly valuable from elementary school through college. 😎 Founder Operating System ( Claude Co-work ) Founders who move countries can end up with equity, options and tax exposure spread across multiple systems. Old shares in one country. New options in another. Trusts, QSBS, shareholder agreements and financing terms layered on top. An AI that can reason across all of it helps you understand dilution, liquidity and tax before you make a very expensive mistake. 💳 Credit Score Captain ( Custom GPT ) Building credit quickly changes everything in the US: car leases, mortgages, premium cards. A simple AI playbook to help you navigate, make the right choices and track progress. 📄 Visa Coach ( Claude Co-work ) We nearly got kicked out of the US while I was raising our Series A and my wife was pregnant 😓 . Centralize visas, filings, lawyer emails and timelines. The value is proactive reminders and better questions for your lawyer. 🏡 Property Intelligence ( ChatGPT Project ) ChatGPT helped us identify a cross-border tax rule that saved us $92K on the sale of our NZ home. Selling and buying property when living in the US is complicated. Connect mortgage details, insurance, property taxes, maintenance history and improvements so the model can guide sale and financing decisions, upgrades and long-term value. Getting this sorted helps you adapt much faster so you can focus on settling the fam and getting the business cranking! 🤩

Moving from 🇳🇿 to the 🇺🇸 was tough. So many hurdles, wasted time and stress 😵‍💫. A lot of this is now avoidable with AI. If I had to do it again today, this is the stack I’d build: 🤚 First step: create a clean shared folder with your partner and put everything in it. Assets, insurance, tax returns, medical records, school reports, legal docs, visas. The model is only as good as the context you give it. Then layer AI on top of that. 💵 Cross-Border Tax Copilot ( @claudeai Co-work ) Tax across countries gets complex fast. Connect everything: tax returns, trusts, investments, cap table, shareholder agreements. Let the model reason over the full picture before you talk to your accountant. 🩺 Health Navigator ( @ChatGPTapp Project ) Switching from NZ to US health care was a shock. Navigating this is tough. Connect family history, MRIs, lab results, prescriptions, insurance policies and specialist notes. Use it to prepare for appointments and understand treatment options. 🎒 Kids Education Guide ( ChatGPT Project ) Especially important if your kids have dyslexia or learning differences. Store assessments, school reports, teacher feedback and plans. This history becomes incredibly valuable from elementary school through college. 😎 Founder Operating System ( Claude Co-work ) Founders who move countries can end up with equity, options and tax exposure spread across multiple systems. Old shares in one country. New options in another. Trusts, QSBS, shareholder agreements and financing terms layered on top. An AI that can reason across all of it helps you understand dilution, liquidity and tax before you make a very expensive mistake. 💳 Credit Score Captain ( Custom GPT ) Building credit quickly changes everything in the US: car leases, mortgages, premium cards. A simple AI playbook to help you navigate, make the right choices and track progress. 📄 Visa Coach ( Claude Co-work ) We nearly got kicked out of the US while I was raising our Series A and my wife was pregnant 😓 . Centralize visas, filings, lawyer emails and timelines. The value is proactive reminders and better questions for your lawyer. 🏡 Property Intelligence ( ChatGPT Project ) ChatGPT helped us identify a cross-border tax rule that saved us $92K on the sale of our NZ home. Selling and buying property when living in the US is complicated. Connect mortgage details, insurance, property taxes, maintenance history and improvements so the model can guide sale and financing decisions, upgrades and long-term value. Getting this sorted helps you adapt much faster so you can focus on settling the fam and getting the business cranking! 🤩

Moving from 🇳🇿 to the 🇺🇸 was tough. So many hurdles, wasted time and stress 😵‍💫. A lot of this is now avoidable with AI. If I had to do it again today, this is the stack I’d build: 🤚 First step: create a clean shared folder with your partner and put everything in it. Assets, insurance, tax returns, medical records, school reports, legal docs, visas. The model is only as good as the context you give it. Then layer AI on top of that. 💵 Cross-Border Tax Copilot ( @claudeai Co-work ) Tax across countries gets complex fast. Connect everything: tax returns, trusts, investments, cap table, shareholder agreements. Let the model reason over the full picture before you talk to your accountant. 🩺 Health Navigator ( @ChatGPTapp Project ) Switching from NZ to US health care was a shock. Navigating this is tough. Connect family history, MRIs, lab results, prescriptions, insurance policies and specialist notes. Use it to prepare for appointments and understand treatment options. 🎒 Kids Education Guide ( ChatGPT Project ) Especially important if your kids have dyslexia or learning differences. Store assessments, school reports, teacher feedback and plans. This history becomes incredibly valuable from elementary school through college. 😎 Founder Operating System ( Claude Co-work ) Founders who move countries can end up with equity, options and tax exposure spread across multiple systems. Old shares in one country. New options in another. Trusts, QSBS, shareholder agreements and financing terms layered on top. An AI that can reason across all of it helps you understand dilution, liquidity and tax before you make a very expensive mistake. 💳 Credit Score Captain ( Custom GPT ) Building credit quickly changes everything in the US: car leases, mortgages, premium cards. A simple AI playbook to help you navigate, make the right choices and track progress. 📄 Visa Coach ( Claude Co-work ) We nearly got kicked out of the US while I was raising our Series A and my wife was pregnant 😓 . Centralize visas, filings, lawyer emails and timelines. The value is proactive reminders and better questions for your lawyer. 🏡 Property Intelligence ( ChatGPT Project ) ChatGPT helped us identify a cross-border tax rule that saved us $92K on the sale of our NZ home. Selling and buying property when living in the US is complicated. Connect mortgage details, insurance, property taxes, maintenance history and improvements so the model can guide sale and financing decisions, upgrades and long-term value. Getting this sorted helps you adapt much faster so you can focus on settling the fam and getting the business cranking! 🤩

LLMs are the interface. Real-world context is the edge. We’ve processed $6T+ in demand data, we know how events can completely shift an economy. Below: @ChatGPTapp without context vs. with @PredictHQ via our MCP connection. Moves from generic output to → quantified, explainable demand impact for @franklinbbq (one of my favs). AI has to drive ROI.

One skill I’m using to sharpen preso's: using @ChatGPTapp voice to simulate real Q&A from a specific audience. It can help expose content gaps, weak logic, audience first-thinking etc Upload your deck. Feed it context like earnings calls, customer profile, blog posts etc on the person or company you’re pitching. Then pressure-test your answers in a live Q&A. It’s surprisingly natural and you can go deep on post discussion feedback e.g. SWOT analysis, ideas for improving, how many "ums" 🤣

29 #earthquakes (and counting) since 6.27am this morning. We’re in Danville next to San Ramon where they’re all kicking off. Have been for 2 months now. Must be some kind of record?

#jetlag sucks. After years of crossing the Pacific, I’ve dialed in a simple protocol that lets me hit the ground running (literally). Used it this week heading into our Global Kickoff 💪 Sharing it here to steal it or improve it. ✅ Eat dinner before flying, no food after 7pm ✅ Skip second “airline dinner”, fast for flight ✅ Board plane > compression socks on ✅ No alcohol on the flight; water only ✅ Sleep (easier without second meal impacting) ✅ Skip the onboard breakfast and coffee ✅ 1 hour before landing: 1L electrolytes ✅ On landing, if there’s daylight, sunglasses on ✅ At hotel: move & sweat > run/walk/weights ✅ Immune boost (e.g. Vive or Ester-C) ✅ Shower > off to work > coffee + breakfast ✅ That night: no alcohol, stay up until ~10pm ✅ Optional: melatonin first 2 nights ✅ First 3 mornings: repeat the immune boost What am I missing? What could be refined?

Context isn’t just a productivity unlock for AI agents, it’s the foundation of trust and explainability. If a model can’t understand the real world it’s operating in, you can’t rely on its decisions.

7am (PT) rugby with @AllBlacks vs @Scotlandteam is rare but so good! 🤩

I joined @AlfieGWhattam on the Decoded pod. Packed a lot in, including: - Seeing early on how applying data at scale drives massive impact - Pattern recognition & learning from people just 1–2 stages ahead - Turning data exhaust into unique AI and prediction capability - How @PredictHQ gives AI models context for grounding in the real-world - Holding a big vision while executing the simplest next step - Fundraise with a clear story and warm intros; choose the right partner. - Where AI 's biggest impact will be: healthcare, defense, & education Always enjoy sharing what we’re building at PredictHQ and how it fits into the wider ecosystem. 💪 🎧 Apple - podcasts.apple.com/us/podcas… 🎥 YouTube - youtube.com/watch?v=9P9OEaVv… 🎧 Spotify - open.spotify.com/episode/3I8…

To put Toronto’s 125 event cancellations for 2025 (so far) in context 👉 @PredictHQ forecasts this is a $8.8M hit to local restaurants, hotels, and transport. Aerosmith cancelation alone was $1.15M in lost spending for local businesses.

My first @robotaxi experience was awesome! Smooth, smart, and fast. As these scale, they’ll need more real-world context around impactful events 😉