<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
<channel>
  <title>Hallengren&#39;s — Insights</title>
  <link>https://hallengrens.com/insights/</link>
  <description>Notes from eighteen months of building AI-enriched systems, every day. What holds, what breaks, and what the system needs from the model. By Henrik Hallengren.</description>
  <language>en</language>
  <item>
    <title>Research agents find the market you send them to find</title>
    <link>https://hallengrens.com/insights/the-market-you-send-them-to-find/</link>
    <guid isPermaLink="true">https://hallengrens.com/insights/the-market-you-send-them-to-find/</guid>
    <description>In July I spent 1.9 billion tokens building a strategy for a market that closed years ago; the run that told me was never saved. So I built a new test: twelve models, the same brief, twice over: with one added paragraph, eleven of twelve said no. Without it, eleven of twelve handed me a go-to-market plan.</description>
    <pubDate>Thu, 03 Sep 2026 08:00:00 GMT</pubDate>
  </item>
  <item>
    <title>Differentiation is dead, long live differentiation</title>
    <link>https://hallengrens.com/insights/differentiation-is-dead/</link>
    <guid isPermaLink="true">https://hallengrens.com/insights/differentiation-is-dead/</guid>
    <description>Eleven AI models, one open question, eleven go-to-market strategies that are in practice one document, priced at the market’s existing midpoint. An experiment in machine convergence, checked against Stockholm’s actual bakeries, and the one dividing line that holds: production versus strategy.</description>
    <pubDate>Tue, 01 Sep 2026 08:00:00 GMT</pubDate>
  </item>
  <item>
    <title>What did fifty billion tokens buy?</title>
    <link>https://hallengrens.com/insights/what-did-fifty-billion-tokens-buy/</link>
    <guid isPermaLink="true">https://hallengrens.com/insights/what-did-fifty-billion-tokens-buy/</guid>
    <description>My AI ledger passed fifty billion tokens in one quarter, and at list price it reads like the annual AI budget of a whole company. An audit entry by entry: what each line went to, what the goal was, what came out, and why spend alone cannot tell a purchase from a leak.</description>
    <pubDate>Thu, 27 Aug 2026 08:00:00 GMT</pubDate>
  </item>
  <item>
    <title>Is it intelligent, or is it a probability machine?</title>
    <link>https://hallengrens.com/insights/intelligent-or-probability-machine/</link>
    <guid isPermaLink="true">https://hallengrens.com/insights/intelligent-or-probability-machine/</guid>
    <description>A language model gives you the most probable continuation of what you typed. That one fact explains why it feels intelligent, why it is convincing when wrong, and why it drifts toward the obvious. What the machine is, where it breaks, and what to expect from it instead.</description>
    <pubDate>Mon, 24 Aug 2026 08:00:00 GMT</pubDate>
  </item>
  <item>
    <title>When in Rome, search in Italian.</title>
    <link>https://hallengrens.com/insights/europe-is-not-the-default/</link>
    <guid isPermaLink="true">https://hallengrens.com/insights/europe-is-not-the-default/</guid>
    <description>A language model asks its questions in English by default, and most of the answers a European needs were never written in English. How the gap hides, what one instruction multiplied, and how to keep it closed.</description>
    <pubDate>Fri, 21 Aug 2026 08:00:00 GMT</pubDate>
  </item>
  <item>
    <title>Everyone knows the why. Nobody knows the what.</title>
    <link>https://hallengrens.com/insights/everyone-knows-they-have-to-change/</link>
    <guid isPermaLink="true">https://hallengrens.com/insights/everyone-knows-they-have-to-change/</guid>
    <description>Established companies are spending real money on AI and getting very little back. Three mistakes keep coming round: the wrong measure, the wrong person, the wrong end. What it looks like, what it costs, and the order that actually works.</description>
    <pubDate>Tue, 18 Aug 2026 08:00:00 GMT</pubDate>
  </item>
</channel>
</rss>