AI-focused newsletter and podcast covering AI strategy, infrastructure, and investment.
- Brian Chesky Says Every Company Has the Same AI Tools. Airbnb Ships 80% More Features Anyway. Here Is How.
- For Three Years, Only Companies With Big Budgets Could Work With Me. Today That Changes
- Your AI Agents Are Aging
- Everyone Is Hiring for Judgment. Nobody Is Making It Anymore.
- Forget Loop Engineering. It’s all about Graph Engineering Now
- Garry Tan Runs YC at 400x His 2013 Output. His AGI Is a Folder of Markdown Files
- Why Most Self-Improving AI Loops Fail and How to Build One That Works
- Google Senior AI Leader’s Loop Engineering Masterclass_ How to Build AI Systems That Improve Their Own Work
- While Everyone is Waiting for the Next Model, Your Agent Can Learn Tonight
- The $10K Etsy niche nobody is running with Claude yet
- The Seven Deadly Sins of AI Spend
- 38,000 companies are hiding in plain sight. Here is the AI system to find them
“A founder who claims them needs fewer employees and less cash, and gets more compute, more credits and more runway out of the same budget.”
“The report works on two levels... it's a measurement method any company can copy. I built a kit for the second part.”
“It returns the 8 numbers a board asks about, 4 charts and 14 checks that flag bad data before anyone else sees it.”
“So I built the kit I wanted for that moment.”
“You paste a Stripe or CRM export into one Excel file, and it returns the 8 numbers a board asks about”
“The 14-check audit tab, which caught all three errors I planted in the sample”
“How Lovable hit $400M ARR in 14 months in The AI Corner”
Source→“Tomasz Tunguz has argued for handing a daily assistant a 24 hour life, delegating the real work to narrow specialists that live for seconds and then disappear, and writing the durable preferences to a file on disk at midnight while the rest of the day's conversation gets discarded.”
Source→“Your AI agent is going to hallucinate at scale (referenced prior article by same author).”
Source→“Memory is also a feedback loop, and a feedback loop feeds on its own output.”
Source→“ElevenLabs has largely dropped year-count requirements in favor of what a candidate built outside their formal role and how they use AI without being told to. Evidence is quietly replacing pedigree as the currency.”
Source→“Atlassian — Mentioned as one of the companies whose operators were interviewed for the ICONIQ report on hiring, contributing to the evidence-over-pedigree thesis.”
Source→“Canva's Chief People Officer describes moving the core interview question from 'what did you do' to 'how did you figure it out.'”
Source→“In the occupations most exposed to AI, entry-level roles are now 7 times more likely to demand skills that used to take a decade to earn.”
Source→“The real craft sits one layer upstream, in what deserves its own name: verifier engineering.”
Source→“A loop cannot create quality. It converts a feedback signal into quality and it charges you time and tokens for the conversion. When the signal is weak, the loop becomes an expensive machine for being confidently wrong on every pass.”
Source→“Ruben Dominguez: Co-author at The AI Corner. Listed as co-author alongside Shubham Saboo”
Source→“The locked layer is one of three and the other two are entirely in your hands. Harness learning means mining what your agent does in production to improve the code, tools and instructions behind every instance of it.”
Source→“I watched the full interview so you can skip it.”
“Creator of the Claude Digital Business System playbook described in the article”
Source→“The core argument is that runaway AI costs are fundamentally a discipline and accountability problem. "This is not a pricing problem because pricing problems get solved by pricing."”
Source→“The de-aggregation prompt pack — copy-paste prompts that split a boring sector average into the high-margin niche hiding inside it.”
Source→“Below is the one I would run, seven prompts and a weekly loop that turns a laptop into a sourcing desk.”
Source→“Ruben Dominguez - Author of this piece; frames the Opus 5 release as a pricing and efficiency story rather than a raw capability story”
Source→“"For the first time in software history, serving a customer costs real money and most AI founders still price as if it doesn't."”
Source→“Ruben Dominguez is cited as author of The AI Corner newsletter and a prior related piece "The Real Reason AI Costs Keep Rising"”
Source→“The threshold system — the exact data points that flip each thesis from value to trap, so you react to evidence instead of headlines.”
Source→“I watched the full two hours so you can skip them.”
“Ruben Dominguez: Writer of the article; synthesizes the autoresearch pattern into an actionable playbook for non-ML practitioners”
Source→“Source: newsletter from The AI Corner, item: Set a metric. Walk away. Let the agent optimize overnight.”
Source→“The kit takes a weekend to set up. The compounding starts the week after. Everything is pre-built and ready to duplicate directly into any existing Notion workspace: templates, agents, and workflows, plus the partner credits.”
Source→“I built that system into a free AI Creator Kit: one Notion workspace with AI agents, templates, a creator CRM, and partner credits worth thousands.”
Source→“The AI Upgrade Trap: Why Switching to a Better Model Breaks Everything You Built”
Source→“Ruben Dominguez - Author, The AI Corner newsletter. Synthesized and published the Bezos interview analysis”
“The people actually shipping AI systems in 2026 are overwhelmingly from non-technical backgrounds.”
Source→“The recommended architecture is an "agentic workflow," where agent reasoning is sandboxed inside human-supervised checkpoints.”
Source→“Most software marketed as "AI agents" is simply a deterministic workflow with a fancier name. Vendors are capturing premium pricing for what is functionally a scripted sequence of steps, and buyers are absorbing real costs for autonomy they will never use.”
Source→“The barrier between 'I have an idea' and 'I have a running product' has essentially collapsed. If you have been sitting on something because you assumed you needed an engineer first, that assumption is no longer accurate.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.