feed

Notes from the net.

Answer-first drops on getting AI from flashy pilot to production: architecture, enablement, and the agent rigs behind it.

Topics: ai-adoption (3) enablement (3) feeds (2) open-source (2)
Latest

Thirty seconds to fact-check any AI answer, choom

Jack into the cited source and check it actually says what the netrunner in the box claims, then cross-check one independent source, eyes hardest on numbers, dates, and names.

4 min read
everyday-aiquality
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02
4 min read

Why I chrome for the unremarkable grind, not the wow demo

A hundred engineers jacking into AI by default flatlines one jaw-dropping demo, choom. Production compounds on the thousandth unremarkable run, so measure throughput, not applause.

ai-adoptionenablement
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03
3 min read

Neurowire Taps Pack: 271 curated sources, 24 themes

The Taps Pack is a ready-made rig of 271 vetted sources for Neurowire, sorted into 24 themes from Frontier AI Labs to Food. It's the curation layer running point like a fixer ahead of the incoming Neurowire SaaS, choom.

open-sourcefeeds
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04
3 min read

Neurowire: an open feed engine, now with full docs

Neurowire turns any source, even feed-less sites, into one canonical feed you can serialize to Atom, JSON Feed, Markdown, RSS, or its own compact NWF format, choom. The full docs rig is now live.

open-sourcefeeds
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05
2 min read

Why AI pilots flatline before they hit production

AI pilots flatline because they chrome up for a demo, not for adoption. Production needs architecture, ICE, and a crew that works different, not a fatter model.

ai-adoptionenablement
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06
2 min read

What 700 chromed-up engineers taught me about adoption

After running 700+ crew through the training, the pattern's clear as neon, choom: adoption is a behaviour change, not a tooling drop. Role-specific reps and internal champions are what keep the rig running.

enablementai-adoption
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