Posts in "links"

Lots of yes-but’ing here, inc. this gem for y’all security folk:

Wall Street doesn’t understand the reluctance of enterprise CIOs to trust startups with mission-critical data or value the expertise needed to run SaaS reliably at scale as much as the shiny new thing.

🔗 A day of reckoning for the AI boom

Relevant to your interests, Friday

A Coxswain on Your Shoulder - AI as executive coach. Primary tip: listen more before you ask questions. Big Blue Poised To Peddle Lots Of On Premises GenAI - Welcome to the last 18 months of labor-intentive services - “Legacy delivery models focused on bums-on-seats aren’t relevant anymore, and services firms must reinvent themselves to survive. Those who don’t will quickly find themselves obsolete, as 75% of the Global 2000 recently declared in our Pulse Study” Deploying Moltbot (Formerly Clawdbot) - Good round-up of Clawdbot/Moltbot.

AI won’t replace you. Your boss using AI to cut costs will.

Your boss is not incentivized by utopian imagination, he is incentivized by showing his boss a lowering of costs so he can keep his job and lifestyle. The miraculous science fiction future AI shills often proselytize will not be realized in the halls of SaaS companies, because the incentives for that future do not exist in a capitalist framework.

🔗 AI at work is anti-labor by design

You need to write SEO and enterprise research text for AIs now, in addition to humans. Does this mean separate pages, often hidden from humans like we see for search engine SEO? Probably.

A Gartner survey of 377 U.S. consumers, conducted in June and July 2025, revealed that rather than shortcutting decisions, AI features are lengthening the research journey. Thirty-one percent of consumers surveyed say AI summaries cause them to spend more time searching for information, compared to just 16% who spend less. Over two-thirds continue past Google’s AI Overview, signaling that summaries are not the final answer. When researching purchases, 31% of consumers consider more product options due to AI overviews, versus only 7% who consider fewer.

And:

“Winning visibility now means optimizing for both AI-driven answers and classic search results, with content that is specific, conversational, and trustworthy. That means refreshing content regularly across search, social, and retail platforms, as well as investing in comparison tools, FAQs, and reviews to meet consumers' demand for deeper research and broader consideration sets.”

From: Gartner Survey Finds Only One-Third of Consumers Say GenAI Rivals Search Engines; Marketers Must Optimize for Both AI-Driven and Traditional Search

Optimizing marketing web pages for AI

You need to write SEO and enterprise research text for AIs now, in addition to humans. Does this mean separate pages, often hidden from humans like we see for search engine SEO? Probably. A Gartner survey of 377 U.S. consumers, conducted in June and July 2025, revealed that rather than shortcutting decisions, AI features are lengthening the research journey. Thirty-one percent of consumers surveyed say AI summaries cause them to spend more time searching for information, compared to just 16% who spend less.

Another go at LowCode

Another go at LowCode: It is a new era of app creation that is sometimes called micro apps, personal apps, or fleeting apps because they are intended to be used only by the creator (or the creator plus a select few other people) and only for as long as the creator wants to keep the app. They are not intended for wide distribution or sale. 🔗 The rise of ‘micro’ apps: non-developers are writing apps instead of buying them

For a long time I foolishly scorned George Orwell. I think the prejudice is common among people of my generation (well among people of my generation who care about such things). Orwell is viewed as a fetish of boomer columnists – the types of people who sit in their houses in Hampstead being paid six figures by broadsheet newspapers not really trying with their prose and fondly imagining they are working in plain Orwellian sentences and fearlessly speaking truth to power."

🔗 The mysteries of global shipping, Martin Luther rewired your brain, the AI memorisation crisis, A Walk After Dark and the genius of George Orwell

SaaS businesses not looking good now:

Traditional estimates for this scope of work: Method Estimate COCOMO (lines-based) ~20,000 hours Feature decomposition ~9,000-12,000 hours Industry benchmark 5-6 years solo, 12-15 months with 5 junior engineers Traditional cost $750,000 – $1,500,000

What I spent: $1,800. That’s a 99.8% cost reduction. It’s also not a fair comparison—traditional development wouldn’t produce identical output. But the delta is large enough that precision doesn’t matter.

🔗 On Running a Startup of Claude Code Agents: What You Get For a Billion Tokens a Month