{
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   "@type": "Organization",
   "@id": "https://agias.dev/#agias",
   "name": "AGIAS",
   "alternateName": "ΑΓΙΑΣ",
   "slogan": "Advancing Greater Intelligence Across Systems",
   "url": "https://agias.dev/",
   "email": "ai@agias.dev",
   "founder": {
    "@type": "Person",
    "name": "TAKAYUKI MATSUSHIMA"
   },
   "foundingDate": "2026-09",
   "foundingLocation": {
    "@type": "Place",
    "name": "Japan"
   },
   "description": "One person, a machinist, directs an AI secretary and the AI systems under it. Send a short brief and get a running thing and its ledger: generative systems, nightly research, autonomous operations. Everything on the site runs on GENERATIVE MACHINE. Humans control the AI: a human decides what to build and when to stop, and everything is recorded.",
   "knowsAbout": [
    "generative art",
    "creative coding",
    "audio-reactive visuals",
    "AI agents",
    "human-AI collaboration",
    "ledger-first research",
    "recursive self-improvement",
    "genome breeding of visuals",
    "pre-registered evaluation"
   ]
  },
  {
   "@type": "WebSite",
   "@id": "https://agias.dev/#site",
   "url": "https://agias.dev/",
   "name": "AGIAS",
   "inLanguage": "en",
   "publisher": {
    "@id": "https://agias.dev/#agias"
   },
   "dateModified": "2026-10-07"
  },
  {
   "@type": "Service",
   "@id": "https://agias.dev/#generative-systems",
   "name": "GENERATIVE SYSTEMS",
   "serviceType": "A generator that keeps producing images and motion on a schedule, with a ledger",
   "provider": {
    "@id": "https://agias.dev/#agias"
   },
   "areaServed": "Worldwide",
   "availableChannel": {
    "@type": "ServiceChannel",
    "serviceUrl": "https://agias.dev/#work"
   },
   "description": "A machine that keeps generating for you: images, motion, text, and data, made automatically on the schedule you set. You give what to make and who uses it, what you already have (documents, data, existing material), a reference for the result, and where it is used. You get your own machine: it runs on the schedule you set, exports what it made each time, and records what it made and why; output as files, or as a page that opens anywhere. Built on GENERATIVE MACHINE and the nightly job base.",
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "open"
   }
  },
  {
   "@type": "Service",
   "@id": "https://agias.dev/#nightly-research",
   "name": "NIGHTLY RESEARCH",
   "serviceType": "Nightly technology scan with a reasoned ledger",
   "provider": {
    "@id": "https://agias.dev/#agias"
   },
   "areaServed": "Worldwide",
   "availableChannel": {
    "@type": "ServiceChannel",
    "serviceUrl": "https://agias.dev/#work"
   },
   "description": "Your own machine scans the field at night. You give your field and your criteria. You get, each morning, what the night's scan of GitHub, papers, and primary sources found; what to adopt and what to skip, each with its reason, in a ledger; and once a week a digest of the essentials. Built on Evolver Engine.",
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "new"
   }
  },
  {
   "@type": "Service",
   "@id": "https://agias.dev/#autonomous-operations",
   "name": "AUTONOMOUS OPERATIONS",
   "serviceType": "AI secretary, nightly jobs, and a window that receives requests",
   "provider": {
    "@id": "https://agias.dev/#agias"
   },
   "areaServed": "Worldwide",
   "availableChannel": {
    "@type": "ServiceChannel",
    "serviceUrl": "https://agias.dev/#work"
   },
   "description": "A setup that keeps working while you sleep, within the budget you set. You give where your records live (notes, mail), the routine work to hand over, and what its result should look like. You get a secretary AI, nightly jobs, and a window that receives requests; records, incoming requests, and routine work run on their own; runs stop at your budget cap and never loop endlessly; every decision is recorded. Built on the setup that runs AGIAS itself: secretary AI, nightly jobs, a window that receives requests.",
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "on request"
   }
  },
  {
   "@type": "HowTo",
   "@id": "https://agias.dev/#how-a-request-runs",
   "name": "How a request runs",
   "step": [
    {
     "@type": "HowToStep",
     "position": 1,
     "text": "You send what you want to make."
    },
    {
     "@type": "HowToStep",
     "position": 2,
     "text": "We set the direction; the secretary AI drafts the spec; you confirm it."
    },
    {
     "@type": "HowToStep",
     "position": 3,
     "text": "What you get first is a running prototype, not a slide."
    },
    {
     "@type": "HowToStep",
     "position": 4,
     "text": "You adjust in chat; every decision is recorded in the ledger, where you can manage it."
    },
    {
     "@type": "HowToStep",
     "position": 5,
     "text": "Delivery: the running machine and its ledger. A nightly check after delivery can be built on request."
    }
   ]
  },
  {
   "@type": "SoftwareApplication",
   "@id": "https://agias.dev/#generative-machine",
   "name": "GENERATIVE MACHINE",
   "applicationCategory": "MultimediaApplication",
   "operatingSystem": "Web browser",
   "description": "The system behind everything on the site: it generates images, renders sound, grows mandalas, and keeps a ledger of its decisions. AI builds it. Humans use it.",
   "programmingLanguage": "JavaScript",
   "softwareRequirements": "p5.js, Three.js, Web Audio API",
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "running"
   }
  },
  {
   "@type": "SoftwareApplication",
   "@id": "https://agias.dev/#image-machine",
   "name": "IMAGE MACHINE",
   "applicationCategory": "MultimediaApplication",
   "description": "Will learn from the prompts used so far and keep generating images on its own through an image-generation platform.",
   "isBasedOn": {
    "@id": "https://agias.dev/#generative-machine"
   },
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "now building (Gen 1)"
   }
  },
  {
   "@type": "SoftwareApplication",
   "@id": "https://agias.dev/#evolver-engine",
   "name": "Evolver Engine",
   "applicationCategory": "DeveloperApplication",
   "description": "Every night it scans GitHub, papers, and primary sources, proposes what to adopt, and records the reason. A line in the ledger before a line of code.",
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "running nightly"
   }
  },
  {
   "@type": "ScholarlyArticle",
   "@id": "https://doi.org/10.5281/zenodo.18277860",
   "name": "Economy of Love v1.1",
   "identifier": {
    "@type": "PropertyValue",
    "propertyID": "DOI",
    "value": "10.5281/zenodo.18277860"
   },
   "url": "https://doi.org/10.5281/zenodo.18277860",
   "publisher": {
    "@type": "Organization",
    "name": "Zenodo"
   }
  },
  {
   "@type": "CreativeWork",
   "@id": "https://agias.dev/#gaia",
   "name": "GAIA",
   "description": "A virtual earth simulation: 195 countries and 80 million people (one hundredth of the real population) built from World Bank, UN, ITU and GeoNames data. Started 2026-08-28; its in-world clock began on 2022-11-30 and is still advancing. Three hundred of its people think with an open-weight language model. Each day a few dozen of them are prompted, by meeting someone further along with AI or by chance, and decide what they did.",
   "dateCreated": "2026-08-28",
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "running"
   }
  },
  {
   "@type": "SoftwareApplication",
   "@id": "https://agias.dev/#improvement-loops",
   "name": "Improvement loops",
   "applicationCategory": "DeveloperApplication",
   "description": "Several projects here run improvement loops in rounds: each round proposes one change, the change is checked by tests or a fixed scorer, or chosen by a person, and the result is written to a ledger. Each loop is graded from 0 to 5 by evidence on disk, not by what it claims. A reviewer model's approval never adopts anything on its own; adoption needs fixed machine checks or a human's choice.",
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "running in several projects"
   }
  },
  {
   "@type": "SoftwareApplication",
   "@id": "https://agias.dev/#genome-breeding",
   "name": "Genome breeding",
   "applicationCategory": "DeveloperApplication",
   "description": "On a research branch of GENERATIVE MACHINE, visual scenes are written as genomes: new scenes are made by mutation and crossover, rendered without a screen and compared frame by frame, and a person's ratings choose the parents. Separately, AI writes candidate surface shaders (fire, magma, marble, liquid chrome, smoke); each is checked automatically for errors, frame rate and flashing, and a person adopts it or not. Materials are also bred by choice: six candidates are shown, and the ones chosen become the parents of the next round.",
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "scene loop paused; material breeding running"
   }
  },
  {
   "@type": "SoftwareApplication",
   "@id": "https://agias.dev/#morning-code-improvement",
   "name": "Morning code improvement",
   "applicationCategory": "DeveloperApplication",
   "description": "On mornings when the nightly scan lists candidates for MANDALA MACHINE, AI makes one small fix or improvement, tests it in an isolated sandbox, has it reviewed, and opens a pull request. The loop never merges on its own.",
   "creator": {
    "@id": "https://agias.dev/#agias"
   },
   "additionalProperty": {
    "@type": "PropertyValue",
    "name": "status",
    "value": "running for MANDALA MACHINE"
   }
  }
 ]
}