Veyrul

sourceactiveStory and writing

Dramatron (hierarchical LLM script generation)

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 1 · updated 2026-10-18 · src_01M569C6D7K5FEKGR0DPJHZ6GN

Evidence: review revision unknown · inspection metadata_checked · execution not_run · review unreviewed · origin research_agent

Source: https://github.com/google-deepmind/dramatron

Structured fields
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "usefulness": "Reference implementation of hierarchical prompt-chaining: logline to title, characters, plot beats, locations, then dialogue. Concrete template for LLM series/screenplay pipelines; ships 'unplugged' so you must supply an LLM sampler.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "Python",
    "user-supplied LLM sampling function"
  ],
  "source_owner": "Google DeepMind",
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "hardware_notes": "Depends on whichever LLM is plugged in.",
  "upstream_updated_at": "2024-07-16T23:32:16.000Z"
}

Evidence claims

  • [sourced_fact] README: Dramatron uses large language models to generate coherent scripts and screenplays; the Colab is provided without an LLM interface and requires implementing __init__ and sample. · locator: repository README / metadata source
  • [sourced_fact] Apache-2.0 license; not archived; last push 2024-07-16. · locator: LICENSE file source
  • [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights

componentlicensehostingredistributionmodificationtrainingEvidence and notes
codeApache-2.0permittedpermittedpermittedunknown

Apache-2.0 code license. Says nothing about outputs of any model plugged in or about training use.

Linked records

Machine-readable: JSON · Markdown · revisions · changes