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  <title>PHNTM One — Build log</title>
  <subtitle>Engineering notes from building a private, local AI appliance by hand.</subtitle>
  <link href="https://www.phntmcore.com/feed.xml" rel="self"/>
  <link href="https://www.phntmcore.com/blog"/>
  <id>https://www.phntmcore.com/blog</id>
  <updated>2026-09-30T00:00:00Z</updated>
  <author><name>Jacob DeCamp</name></author>
  <entry>
    <title>PHNTM One 1.0: reservations are open</title>
    <link href="https://www.phntmcore.com/features"/>
    <id>https://www.phntmcore.com/features#1-0</id>
    <published>2026-09-28T00:00:00Z</published>
    <updated>2026-09-28T00:00:00Z</updated>
    <summary>Everything PHNTM One 1.0 does, on one page: voice in ten languages, dictation, timers, alarms and lists, documents, photos and an offline library, Home Assistant control, fifteen self-repairs and a weekly report. Reserve free; batch 1 ships when 1.0 is certified.</summary>
  </entry>
  <entry>
    <title>Software 0.8: autonomy, on the record</title>
    <link href="https://www.phntmcore.com/changelog"/>
    <id>https://www.phntmcore.com/changelog</id>
    <published>2026-09-26T00:00:00Z</published>
    <updated>2026-09-26T00:00:00Z</updated>
    <summary>Autonomous mode, repairs with a verified undo, a running score of every fix, and the September security work: every software release from the first builds to 0.8.</summary>
  </entry>
  <entry>
    <title>Running a private AI assistant on a Raspberry Pi 5</title>
    <link href="https://www.phntmcore.com/blog/private-ai-on-raspberry-pi-5"/>
    <id>https://www.phntmcore.com/blog/private-ai-on-raspberry-pi-5</id>
    <published>2026-08-20T00:00:00Z</published>
    <updated>2026-09-30T00:00:00Z</updated>
    <summary>The Raspberry Pi 5 hardware and local voice stack, the 8 GB memory budget, dated performance evidence, a real hardware clip and repeatable privacy checks.</summary>
  </entry>
  <entry>
    <title>The mini-PC I returned: choosing hardware for a local AI appliance</title>
    <link href="https://www.phntmcore.com/blog/choosing-hardware-for-a-local-ai-appliance"/>
    <id>https://www.phntmcore.com/blog/choosing-hardware-for-a-local-ai-appliance</id>
    <published>2026-08-20T00:00:00Z</published>
    <updated>2026-08-20T00:00:00Z</updated>
    <summary>Why an N5095 mini-PC got returned (no AVX2, an ACPI interrupt storm), what the prototype taught us, and why production PHNTM One units are built on the Raspberry Pi 5.</summary>
  </entry>
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