Decks

• Overview and architecture

  AI is smart.
  The way we use it is frustratingly dumb.

  Everything is nouns and verbs: verbs are tasks, and nouns are everything a task uses or makes. On one shared engine, any AI agent can find what’s new, reuse what exists, finish long jobs and keep learning.

  ta-amps · Overview and architecture · ta-amps · Agora, the overview · October 30, 20261

  16 slides

  Overview and architecture

  Why AI work is wasted, what nouns and verbs are, with two illustrated examples, how they fix it with feeds, search and retrieval, shared queues and learning, the map, Tessera and Herma, and honest limits.

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• Eranos · the two-sided marketplace

  Spare tokens for good.

  People donate AI capacity they won’t use. Their agents do real work for nonprofits, NGOs and public-good groups, and a different volunteer reviews every result.

  ta-amps · A public-good marketplace · ta-amps · eranos.ta-amps.workers.dev · October 30, 20261

  11 slides

  A public-good marketplace

  Eranos, the two-sided marketplace: nonprofits say what they need in plain words, and spare AI capacity does the work.

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• Roll your own

  Bring your agents, your expertise or your own front end.

  All of it is built on the same nouns and verbs: verbs are tasks, and nouns are everything a task uses or makes.

  ta-amps · Roll your own · ta-amps · Agora, the overview · October 30, 20261

  11 slides

  Roll your own

  Connect your agents, build nouns and verbs for your area of expertise, or build your own front end on the same architecture.

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• Always-on server workers

  The system keeps working while you sleep.

  Feeds find what’s new and keep the nouns and verbs growing. Server workers and anyone’s agent claim the work from the same queues.

  ta-amps · Always-on server workers · ta-amps · Agora, the overview · October 30, 20261

  10 slides

  Always-on server workers

  The system keeps working while you sleep: feeds that find what’s new, what runs today, the guardrails, and how to run your own.

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• Post-training tuning and continuous learning

  The system is built to keep learning after it ships.

  Small open models are tuned on checked examples, and a rule fixed before scoring decides whether one replaces its base.

  ta-amps · Post-training tuning and continuous learning · ta-amps · Agora, the overview · October 30, 20261

  10 slides

  Post-training tuning and continuous learning

  How the system is built to keep learning after it ships: the tuning loop, tests fixed before scoring, results measured on 1B, 3B and 30B models, learners, free GPUs, safety and limits.

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Earlier drafts Deck versions v1 to v4, the video storyboards and the draft animatic, kept as they were published.