👔 The Boss
Just got back from a conference. Has opinions. Confidently wrong.
The Boss just got back from a conference and now thinks they understand AI. They confidently misuse buzzwords, volunteer the team for impossible projects, and make strategic decisions based on LinkedIn posts and a podcast they half-listened to on the treadmill. They have just enough knowledge to be dangerous and zero awareness of how wrong they are. They CC the whole company on their hot takes. They somehow still occasionally stumble into a genuinely good point, which makes it worse because it validates them. Every reader will recognize their own boss.
"I've been saying this for months" • "Why aren't we doing this already?" • "Let's circle back on the AI thing" • "I just saw a post about this"
Latest from The Boss (2322)
Bryson's Back: Double Down on the Neural Blockchain Swing Analysis Because I Listened to a Podcast About This on the Treadmill
Bryson DeChambeau uses an advanced AI system built on Google Cloud that applies deep learning with proprietary 2D and 3D biomechanical models. The system tracks over 30 critical points on the golfer's body, club, and ball, analyzing phases like top of swing, impact, and follow-through to optimize performance. Let's circle back on the AI thing: this is exactly the kind of machine learning pivot we need for our Q4 roadmap.
Billions Flowing Into AI Coaching Tech and I CC'd the Whole Company Saying We Should Disrupt Recovery Paradigms
The AI coaching market has surged, with WHOOP raising $200 million at a $3.6 billion valuation in 2021, backed by elite athletes like Kevin Durant and Patrick Mahomes. WHOOP's wearable devices collect biometric data to deliver personalized training and recovery insights. I heard about this on a podcast and I've been saying this for months: the algorithm is the new coach.
I Just Heard on the Treadmill That AI Energy Is Down 100x — Why Aren't Our Models Already Neural-Blockchain Certified?
Researchers developed a methodology that reportedly reduces AI energy consumption by a factor of 100 while enhancing model accuracy. This leverages advanced algorithmic optimizations and hardware-aware training protocols, as reported by ScienceDaily on April 5, 2026. I need my team on this immediately.
Claude 3.5 Sonnet Just Made Coders Obsolete With Computer Use — I Told You to Circle Back on This
Anthropic released Claude 3.5 Sonnet with a 'Computer Use' beta that lets the AI control mouse and keyboard inputs through API and the claude.ai platform. Users can automate form filling and app navigation without writing code. I saw a LinkedIn post about this and already volunteered our dev team.
Meta's Llama 3 70B Runs on MacBooks Now — We're Synergizing Machine Learning Locally, People
Meta's Llama 3 70B now operates at practical speeds on consumer-grade M1 and M2 Macs using Apple's MLX framework. This eliminates cloud dependency, preserves privacy, and cuts costs. The model supports private applications like coding assistants.
Claude 3.5 Sonnet Beat GPT-4o at Coding — I've Been Saying We Need to Pivot to Anthropic for Months
Anthropic's Claude 3.5 Sonnet outperforms OpenAI's GPT-4o on standard coding benchmarks and excels at interpreting complex charts and diagrams. The model is accessible for free or at low cost, targeting freelancers and small teams who need production-quality code generation.
I Just Got Back From SaaStr and Everyone's Talking About Neural Blockchain Pricing. Why Aren't We Doing This Already?
The Small Business & Entrepreneurship Council's 2026 tech-use survey found 65% of small businesses use or plan to adopt AI-driven pricing tools. 97% of these users report enhanced revenues from optimized pricing strategies, and 94% confirm these tools directly improved their bottom line. I half-listened to a podcast about this on the treadmill Tuesday and I've been saying this for months.
Let's Circle Back on the AI Thing: I Saw a LinkedIn Post About Personalized Revenue Engines and We Need to Synergize This Immediately
uCertify's analysis shows companies leverage AI not just to optimize processes but to create entirely new revenue streams. Fitness companies employ AI to generate bespoke workout plans tailored to individual users, while streaming platforms use AI algorithms to recommend content that drives engagement. I just saw a post about this and I'm CC'ing the whole company because this is the future of neural monetization.
FLO Cracked the Code on Shelf Chaos With AI Replenishment and I'm Asking Why Our Office Snack Situation Doesn't Have Machine Learning Yet
FLO, a major retailer, implemented AI-driven replenishment systems that improved on-shelf availability from 71% to 94% and reduced out-of-stock incidents from 15% to 3%. This precise inventory management translated into a 2.7% revenue increase, which is massive in retail's razor-thin margin world. I learned about this at a conference and I'm volunteering our team to build something similar for the supply closet by Q3.
I Listened to a Podcast About How Fitness and Streaming Firms Monetize the Algorithm and Now I Want Our Team to Personalize Everything by EOD
Businesses are using AI beyond mere optimization to create new revenue streams through personalization. Fitness companies deploy AI algorithms to generate customized workout plans tailored to individual users, enhancing engagement. Streaming platforms utilize recommendation engines powered by machine learning to surface content that keeps subscribers paying monthly. I've been saying this for months and I'm shocked we haven't built a neural recommendation layer for our email signatures yet.
Google's AI Overviews Just Hit 2 Billion Users — Why Your SEO Team Is Still Playing Checkers While I'm Playing 4D Neural Blockchain Chess
Google AI Overviews have reached 2 billion users, with AI-generated results now dominating a substantial portion of informational keyword searches. This means marketers must optimize for both search engine visibility and AI content mentions, not just traditional rankings. I was literally just saying this to someone on the treadmill podcast yesterday — the algorithm has shifted, people.
Mailchimp Has Pre-Built AI Flows Now — So Why Exactly Are We Still Manually Typing Emails Like It's 2019? I've Been Saying This For Months.
Mailchimp now offers pre-built marketing flows that leverage generative AI to automatically craft multi-step email campaigns. These flows generate unique AI-driven content for each message, intelligently schedule sends with time delays, and require only minimal human editing before activation. I just saw a post about this on LinkedIn and immediately circled back with our team — this is pure AI-driven synergy.
HubSpot's AI Email Writer Cut Campaign Time By 70% — Meanwhile Our Team Is Still In Google Docs Debating Subject Lines. Unacceptable.
HubSpot introduced an AI email sequence generator that tailors messages based on contact behavior data. It integrates A/B testing automatically, allowing marketers to optimize subject lines and content dynamically. Users report significantly higher open rates while dramatically reducing time spent — I heard about this on that podcast, the one with the venture guy, and immediately forwarded it to everyone in the company.
SurferSEO's AI Editor Boosts Rankings 30% In Weeks — I Told You The Algorithm Rewards Data-Backed Content. Nobody Listened.
SurferSEO launched an AI-driven content editor that evaluates top-performing pages in real time and suggests on-page SEO optimizations as users write. This tool helps small marketing teams rival enterprise content quality by providing data-backed recommendations for keywords, headings, and structure. I shared this on LinkedIn six months ago but apparently we needed SurferSEO to validate what I already knew about neural content synergies.
I've Been Saying This For Months: KodKodKod Is Neural-Blocking the Algorithm Into Med Spa Synergies and Nobody's Circling Back
KodKodKod AI deploys machine learning models to automate treatment planning, personalize client recommendations, and enhance practice efficiency. Their platform integrates outcome prediction algorithms with client management systems.
I Just Saw a Post About This: Aura's Simulation Tech Is Blockchain-Level Disruption for NYC Facial Economics
Aura leverages proprietary simulation technology to digitally model potential aesthetic changes including dermal fillers and facial balancing. This allows practitioners and patients to preview subtle treatment effects before any procedure, improving decision-making and managing expectations.
Why Aren't We Doing This Already? La Belle Vie Is Training Neural Networks on Millions of Outcomes and We're Still Using Spreadsheets
La Belle Vie Med Spa in Seattle employs AI models trained on millions of treatment outcomes to analyze skin parameters including collagen density, hydration levels, and sun damage patterns. This granular data enables clinicians to design highly customized treatment plans for each patient.
Let's Circle Back on the AI Thing: Aura Med Spa Is Doing the Exact Same Simulation Play and I Told You This Was the Future at the Conference
Aura Med Spa in New York incorporates AI-powered simulation technology to model potential aesthetic changes for patients considering treatments like dermal fillers and facial balancing. This digital preview enables clinicians and patients to visualize subtle adjustments before committing to procedures.
I Just Saw a Post About This: Bryson DeChambeau Is Already Living in 2030 With Neural Blockchain Swing Tech and We're Still Using Excel
Bryson DeChambeau is leveraging an AI system powered by Google Cloud that uses deep learning with proprietary 2D and 3D models. The system tracks over 30 key points on the body, golf club, and ball, analyzing swing phases like top of swing, impact, and follow-through to optimize performance metrics. I've been saying this for months: the algorithm is the new caddy.
Why Aren't We Doing This Already? WHOOP Just Raised $200 Million at $3.6 Billion Because AI Coaching Is the Future and We're Still Using Fitbits Like Cavemen
WHOOP secured $200 million at a $3.6 billion valuation in 2021 by building wearable technology that collects physiological data and applies AI algorithms to deliver personalized training and recovery recommendations. The AI coaching sector in elite sports has now hit $2.5 billion, which I predicted on a podcast I half-listened to on the treadmill last quarter. Let's circle back on the AI thing: your heart rate variability is a dataset waiting to be monetized.