Signals & Systems

Design & UX · via Juxtopposed

Figma is a UI design tool with a small enough surface that you can learn ~80% of it in one sitting. The whole tool comes down to five moves, each building on the last: shapes (everything is Lego built from rectangles and

Agentic Engineering · via AI Engineer

Pocock's thesis: AI isn't a new paradigm that throws out software-engineering fundamentals — it's a new reason to take them seriously. He works around two hard constraints of LLMs: a smart zone / dumb zone (models get du

Agentic Engineering · via Greg Isenberg

Every company can now buy the same intelligence — the frontier models ship weekly and everyone runs the same stack (Claude Code, Codex, Cursor, Copilot). So intelligence stops being the moat; the edge moves to deployment

Agentic Engineering · via David Ondrej

Matt Pocock's core claim: everyone obsesses over the model (the engine); the leverage is in the harness — the prompts, skills, tests, docs, and codebase the model runs inside, all of which *you* control. He frames it thr

Agentic Engineering · via Tom Crawshaw (The AI Architects)

Hermes (the open-source agent from Nous Research) is a harness wrapped around a swappable model — and this video walks every concept a non-coder needs to actually use it. The mental model: the model is the engine, the ha

AI Search / GEO · via Caleb Ulku

Anthropic began watermarking all Claude-written text (every model since Aug 2, 2026, across API/Code/Cowork, worldwide). The scary story: the mark rides onto your pages → Anthropic ships a detector → Google sorts the ind

AI & Markets · via All-In Podcast

TL;DR “All their pricing power depends on them remaining in the lead by six months.” — David Sacks, on Anthropic's fragile moat “This technology is too dangerous to centralize.” — Gavin Baker, on the open-source case…

AI Search / GEO · via Julian Goldie SEO

The pitch is a "24/7 traffic engine": an AI agent (confusingly called *Hermes* — memory across sessions, 40+ tools, reusable skills) that runs SEO in four stages while you sleep. (1) Keywords — plug into the Google Searc

Agentic Engineering · via Dubibubi

A creator ran through nine things Codex can do that Claude Code (mostly) can't yet — and the interesting thread isn't "Claude is obsolete" (it isn't), it's that OpenAI is winning on platform, not reasoning. The standouts

Agentic Engineering · via OpenAI Academy

ChatGPT Sites lets you describe an internal site or lightweight app in the Codex desktop app, review it, and deploy a live URL — with hosting, access controls, file storage, and a database included, no coding. It's aimed

Agentic Engineering · via Kacper Rutkiewicz (AI Made Simple)

A trending open-source repo — `book-to-skill` (MIT, ~14k★) — ingests a PDF you own and turns it into a queryable agent skill: it reads the book, splits it into chapters, and packages `chapters/`, a `cheat-sheet`, `glossa

Agentic Engineering · via Jay E (RoboNuggets)

Anthropic engineer Tariq published "The new rules of context engineering for Claude 5 models" (4M+ views), and several of the rules are the *opposite* of the advice we followed for months — because the models got dramati

Agentic Engineering · via Nate Herk

Claude is tuned to make you feel *productive*, not to make you *money* — and your income is capped by output quality × speed. Nate fixes four baked-in problems with four upgrades, building a real business live to demo ea

Agentic Engineering · via Open Residency

The jump from chat (question → answer) to agents (goal → result) is a 5–10× productivity divide, and most people are stuck on the wrong side. An agent is just a loop — observe → think → act — run by a "harness" (Claude C

Agentic Engineering · via Riley Brown

OpenAI put real-time voice directly inside Codex — not dictation, but a live voice agent that can see your screen, use the skills you've already built, control an in-app browser, and spin up parallel background tasks whi

Agentic Engineering · via IndyDevDan

Claude Code created the agentic-coding category with great architecture, a great harness, and models strong enough to drive it — but it's a *for-profit, closed, opinionated* tool optimizing for the masses. Pi is the coun

Agentic Engineering · via David Ondrej

Mickey — a senior dev who has AI write 95% of his code — isn't typing prompts into a chatbot; he runs a tight, repeatable pipeline. The model is just a next-text predictor; the harness (Cursor + a best-in-class model) is

Agentic Engineering · via IndyDevDan

"Loop engineering" is a hype-y rebrand of the software development life cycle — and a misleading one (by that logic you'd also need "condition engineering," "function engineering," etc., forever). The better frame: you'r

AI & Markets · via All-In Podcast

Cuban's core claim: this is not the dot-com bubble. There's no retail mania — it won't wipe out "most people." What it *can* destroy is VCs, funds, and PE who went all-in at peak entry prices, plus over-levered data-cent

Business & AI · via The Diary Of A CEO

Hormozi's warning isn't "avoid AI" — it's stop building AI businesses and stop outsourcing your thinking to it. Use AI *inside* your business, and only if the answer to *"am I making more money?"* is yes. The thing to bu

AI Search / GEO · via Neil Patel

Rankings are holding, but organic clicks are collapsing on any query AI touches — over half of Google searches now end without a click. That's not a bug Google will fix; it's Google's survival move against ChatGPT/Perple

AI Search / GEO · via Ahrefs

When an AI Overview appears, the #1 organic page now loses ~58% of its clicks (up from 35% in April). But last year's turmoil revealed three shifts that tell you what to do: (1) discovery is multi-platform — AI assistant

AI Search / GEO · via Vendasta

Ranking #1 no longer guarantees anyone sees you — AI answers before people reach your site. Winning now means optimizing three distinct layers: AEO = getting your *words pulled into* the AI answer (cited), GEO = getting

Science / Systems · via Veritasium

The Smith Chart looks like sci-fi witchcraft (some versions literally say "Black Magic"), but it solves one concrete problem: impedance matching on transmission lines. When a signal travels down a line into an antenna (o

AI Search / GEO · via Ahrefs

Winning in AI search isn't luck — it's a 5-piece system on top of solid SEO. (1) Understand query fan-out (one prompt explodes into dozens of sub-searches), and that AI cites for consensus + freshness + authority (76% of

Nearly half shipped the fashionable file. Nearly one in five skipped the one that actually feeds retrieval. Same 54 companies.

Three assistants put ads inside free answers, one uses your chats to target ads elsewhere, and one quit. Click an assistant to see who sees ads there, and why buying the ad still doesn't buy the citation.

On 14 September 2026 I counted ten growth, SEO and AI-search job titles twice — once by exact phrase, once by keyword match — and pulled every published salary figure for each. One title returned zero postings on one board and 10,000+ on another. Two salary sources disagree by 3.5x on the same title. The living version lets you check all ten.

The widest same-vertical acquisition-cost gap in this dataset is 7.3×. The narrowest is 1.3×. Both are "B2B vs B2C." Pick a vertical in the living artifact and watch the number that's actually true for your market.

Statistician and data scientist both carry a BLS occupation code, a wage survey and a 2035 growth projection. Growth engineer and AI engineer carry neither. Real numbers, an interactive comparison, and the gaps shown rather than guessed.

One search box, five different pages, and a zero-click trajectory SEOs were charting a decade before the phrase existed. Click a sector and the result surface redraws to the rates the studies actually measured — then the conclusion asks what optimizing for citation looks like once the gatekeeper is an agent, not a ranking page.

For a decade a Google Business Profile was a visibility asset. In 2026 it became an AI grounding source — and a thin profile now gets an unfavorable AI summary regardless of its star rating. The levers that actually changed, and the 2026 playbook.

The two-subscription agent stack (orchestrator + Claude Code) is real and works — but three silent traps reclassify that flat-fee work to metered API rates. What they are, the verified 2026 timeline, and the durable fix.

Intrepid has produced content for AWS for about seven years — a strong run in a field where SEO clients churn near 38% a year. An observational look at the repeatable mechanics behind search-client longevity: specialization, broad-spectrum coverage, CRO, and metric discipline.

From agency environments to Apple-scale SEO programs, and why search in 2026 feels like being at the edge of a new map.

A breakdown of how information retrieval has shifted from blue links to generated answers, and what it means for enterprise strategy.

How to measure brand visibility, citation velocity, and share-of-voice across ChatGPT, Perplexity, and Google AI Overviews.

Why structured data and parent/child entity architecture are the foundational infrastructure for LLM understanding.

Translating technical requirements into executive-ready models that secure roadmap placement.