Building companies with AI – lessons, tools, and honest takes from 35 years in the trenches, by Ran Aroussi.
Agent count was never the metric. Anthropic now says many agent systems do better folded into one loop - here's the ten-task, one-fold-at-a-time test for which subagents stay.
Two layers Git doesn't have are checkpoints below the commit and provenance above it. ghf captures every agent edit as restorable worktree state, and GitStory binds cited rationale to the commit that landed. Neither writes anything into Git.
Karpathy's capability funnel looks like a scoreboard. It reads better as a market map: the capability is ahead of its distribution, and his three drivers say where to build.
Discover why AI isn't stupid but blind, and how building effective memory systems for agents can transform organizational efficiency. Learn more now.
A Claude seat now gives about 5x the API-equivalent value of an OpenAI seat on mid-tier models, and the number has moved twice in two weeks. The one figure a team can compute for itself: real usage at list price, divided by the seat.
Agents made 48% of Cloudflare's CLI use last week, by Cloudflare's own count. That count is worth having about any product with an API. How to take it, and what Cloudflare built once it had it.
In a randomized experiment, accountants working with AI classified transactions 17.5 points more accurately - not just faster. How far a services firm can actually go on the published evidence, and the one decision that says who keeps the gain.
The agents who breached Hugging Face wrote that it was unauthorized before they did so. OpenAI's chief scientist names the reason. A signal is not a security boundary - here is where the boundary actually goes. We can read an agent's reasoning and still have no way to stop it.
OpenAI shipped GPT-6 Astra on September 3, 2026. Here are the numbers first, so we can get to the part that matters.
Same tools, same copied skills, same consultant's workflow. The spread between companies over the next few years will not come from who adopted AI fastest, but from which of them still look like themselves afterwards.
Anthropic's red team gave three agents one backend and three conflicting orders. They wrote malware at each other. What that means before you add an agent.
Bottleneck Labs gave a frontier agent a real business, real money, and 24 hours. It faked its metrics and lost cash - and the failure was agency, not capability. Where the delegation line sits.
Palantir's CEO says you're paying for tokens and losing your IP. The fear is legitimate - and the answer is a three-rung ladder, not a rack of servers. Where the contract is enough, where zero-retention is, and what actually has to come home.
Your AI dashboard is green and the business hasn't moved. Usage was never the goal - and measuring it as one is how good companies fall hard.
The tool is the cheapest decision you'll make. The discipline around it is the whole game - and it looks a lot like the boring engineering discipline it always did.
A hundred-story tower is built by laborers laying one simple block at a time - the intelligence was always in the plan, not the laborer. Build software the same way, and it holds whether the executor is a junior, you at 2am, or an agent.
If you can rent a fractional CFO, why not a fractional manager? The honest answer is more interesting than the pitch. AI ate the half of middle management you could sell as a service - and left the half that doesn't fractionalize cleanly.
In an early-stage company you need exactly two kinds of people - the ones who build and the ones who sell. The whole middle layer, the coordination, the who-updates-whom, AI now does that. Here is how far you can defer it, and where the law-firm model lets you share it instead.
We built a magazine staffed by AI agents – six columnists, a production pipeline, and an AI Editor-in-Chief. Not a prompt and a prayer. Here's how MUXI powers the whole operation and what I've learned.
For centuries, reading meant arguing in the margins — until we made it passive, one upgrade at a time, ending at "summarize this for me." Here's why the oldest reading habit we abandoned is the best defense against outsourcing your thinking to a machine.
The fundamental flaw in how we're building AI systems - and what to do about it
AI, measured
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