{"id":242,"date":"2024-07-07T00:13:07","date_gmt":"2024-07-07T00:13:07","guid":{"rendered":"https:\/\/celso.world\/noograms\/?page_id=242"},"modified":"2026-02-06T03:47:32","modified_gmt":"2026-02-06T03:47:32","slug":"framework","status":"publish","type":"page","link":"https:\/\/celso.world\/noograms\/framework\/","title":{"rendered":"Framework"},"content":{"rendered":"\n
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NooGrams, AI Gen based on illustration + prompt by Celso singo Aramaki (July 2024)<\/figcaption><\/figure>\n\n\n\n

AI-Driven Visual Narratives<\/h1>\n\n\n\n

By Celso Singo Aramaki + AI (updated for 2026)<\/em><\/p>\n\n\n\n

Introduction<\/h3>\n\n\n\n

Since 2024, generative AI has matured quickly\u2014especially in text generation, multimodal reasoning, and production workflows. In practice, this has made AI more useful as creative infrastructure<\/strong>: drafting, search, revision, consistency checks, and rapid prototyping. It has also made one thing clearer: strong narrative work still depends on human direction, taste, and editing.<\/p>\n\n\n\n

The Noograms Framework is an applied experiment in this space. It is not presented as a \u201crevolution,\u201d but as a technical, iterative attempt to use modern AI systems to support the creation of graphic novels and interactive narrative formats\u2014while keeping authorship and creative decisions human-led.<\/p>\n\n\n\n

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The genesis of Noograms<\/h3>\n\n\n\n

Noograms started as a graphic novel project set in 1990s New York City, following an indie grunge rock band navigating early adulthood, creativity, and uncertainty. The narrative draws from graphic novel craft, long-form serialized storytelling, and literary structure\u2014using comics as a medium for character-driven dialogue and atmosphere.<\/p>\n\n\n\n

Over time, the project expanded into a framework: a set of methods and tools that help manage complexity in long-form visual storytelling (worldbuilding, continuity, pacing, character voice, and visual consistency).<\/p>\n\n\n\n

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What \u201cAI-driven\u201d means here (2026 reality)<\/h3>\n\n\n\n

In 2026, the most reliable use of AI in narrative work is augmentation<\/strong> rather than automation. The Noograms Framework uses AI where it saves time or improves clarity, for example:<\/p>\n\n\n\n

    \n
  • Narrative iteration:<\/strong> generating scene variants, testing pacing, and exploring alternative beats<\/li>\n\n\n\n
  • Continuity and canon support:<\/strong> retrieval-based systems that keep characters, locations, timeline facts, and tone consistent<\/li>\n\n\n\n
  • Dialogue and voice checks:<\/strong> stress-testing character voice across situations, then editing by hand<\/li>\n\n\n\n
  • Research assistance:<\/strong> summarizing references, comparing sources, and extracting constraints<\/li>\n\n\n\n
  • Production support:<\/strong> lightweight pipelines for prompts, style guides, and review loops\u2014without pretending the model \u201cunderstands\u201d the story the way a reader does<\/li>\n<\/ul>\n\n\n\n

    Where possible, the approach favors structured inputs<\/strong> (scene cards, character sheets, canon notes, constraint lists) over open-ended prompting. This reduces drift and makes outputs easier to evaluate.<\/p>\n\n\n\n

    \n\n\n\n

    Technical approach (high level)<\/h3>\n\n\n\n

    The framework treats a graphic novel as a system with maintainable components:<\/p>\n\n\n\n

      \n
    • Canon store:<\/strong> authoritative facts (timeline, locations, character rules, themes)<\/li>\n\n\n\n
    • Content model:<\/strong> chapters \u2192 sequences \u2192 scenes \u2192 panels, with metadata<\/li>\n\n\n\n
    • Agentic workflows (lightweight):<\/strong> role-based passes such as \u201ceditor,\u201d \u201ccontinuity checker,\u201d \u201cdialogue critic,\u201d and \u201creader simulation,\u201d each constrained by the canon store<\/li>\n\n\n\n
    • Evaluation loops:<\/strong> human review + checklists (consistency, tone, clarity, redundancy, pacing)<\/li>\n\n\n\n
    • Versioning:<\/strong> decision logs for changes, so revisions remain traceable<\/li>\n<\/ul>\n\n\n\n

      This is less about \u201cAI characters\u201d as a gimmick and more about workflow design<\/strong>: making long projects easier to maintain without losing artistic control.<\/p>\n\n\n\n

      \n\n\n\n

      Development process<\/h3>\n\n\n\n

      The Noograms Framework evolves alongside the book. Tools are built, tested on real pages and scenes, and adjusted when they fail. The process is intentionally conservative:<\/p>\n\n\n\n

        \n
      • prefer repeatable methods over clever demos<\/li>\n\n\n\n
      • document decisions and constraints<\/li>\n\n\n\n
      • treat model outputs as drafts, not truth<\/li>\n\n\n\n
      • validate continuity and tone through human editorial review<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n

        Work<\/h3>\n\n\n\n

        The Noograms Framework is an attempt to make AI useful in visual storytelling in a grounded way: clear inputs, constrained generation, traceable revisions, and human editorial control<\/strong>. If it succeeds, the value is practical\u2014faster iteration, stronger continuity, and more room for artists and writers to focus on craft.<\/p>\n\n\n\n

        \n","protected":false},"excerpt":{"rendered":"

        AI-Driven Visual Narratives By Celso Singo Aramaki + AI (updated for 2026) Introduction Since 2024, generative AI has matured quickly\u2014especially in text generation, multimodal reasoning, and production workflows. In practice, this has made AI more useful as creative infrastructure: drafting, search, revision, consistency checks, and rapid prototyping. It has also made one thing clearer: strong […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-242","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/pages\/242","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/comments?post=242"}],"version-history":[{"count":15,"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/pages\/242\/revisions"}],"predecessor-version":[{"id":458,"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/pages\/242\/revisions\/458"}],"wp:attachment":[{"href":"https:\/\/celso.world\/noograms\/wp-json\/wp\/v2\/media?parent=242"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}