1f811e98e1
- planning.yml: roster-driven task types, no hardcoded agent names or generic types - chapter_roundtable.yml: removed fixed [Devon,Lane,Cora] participant list, any editor can join - book_chapter.yml: removed hardcoded agents from roundtable spawn - book_research.yml: removed agent: Atlas from book_outline spawn (Bouncer routes by type) - ai_article_research.yml: removed agent_name: Atlas from plan spawn - book_editorial.yml: removed Shadow Heir/Elara/Kai/Alpha Publishing/Wattpad hardcoding - project_index.yml: removed Wattpad reference - ai_article_write.yml: fixed adjudication criteria (article, not fiction chapter) - chapter_review.yml: reply→document so reviews are committed and accessible Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
95 lines
2.6 KiB
YAML
95 lines
2.6 KiB
YAML
name: ai_article_research
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description: "Research the article series topic — live search + synthesis + spawn article plan task."
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debug: true
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system: agent_prompt
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agent_prompt:
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- "= identity.md"
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- "agent.rag.json"
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sections:
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- agent
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- project
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- history
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- rag
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- prior_results
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- message
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- instructions
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builders:
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prior_results: |
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*** WEB SEARCH RESULTS ***
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{steps[1].text}
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(If the above is empty, use your expert training knowledge.)
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steps:
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- type: think
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hint: |
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Read the project description and the message above carefully.
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Identify the best search query to find current, real-world information on this topic.
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State your reasoning, then on the last line write:
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SEARCH QUERY: [your query here]
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Query rules: 3-8 words. Specific. Current year preferred.
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- type: tool
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capability: Tool_WebSearcher
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input_from: last_text
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- type: think
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hint: |
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Using the search results above (or your training knowledge if unavailable), write a
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RESEARCH BRIEF on the topic from the project description.
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Cover as many relevant angles and subtopics as you can find real evidence for.
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For each angle: what is happening, what problem it solves, one concrete result.
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End with a SERIES RECOMMENDATION section proposing exactly 10 article topics.
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For each topic: working title, target reader, the one thing they will learn.
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- type: document
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filename: "{{task_name_slug}}"
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- type: package
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packet_type: IntakeResponse
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hint: |
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Create exactly ONE follow-up task.
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- task_name: "Plan Article Series"
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- task_type: "ai_article_plan"
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- description: "Using the research deliverable, plan exactly 10 standalone articles for
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this series. Each article is a 5-minute read (~800-1000 words) for the target audience
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described in the project. You choose the topics based on the research. Then spawn 10
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ai_article_write tasks."
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- depends_on: ""
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schema:
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actions:
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- type: create_task
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task_name: "string"
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agent_name: "string"
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task_type: "string"
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description: "string"
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depends_on: "string"
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- type: close
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rag_update: true
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adjudication:
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enabled: true
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pass_threshold: 65
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deliverable_type: coordination
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criteria:
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accuracy:
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weight: 35
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description: "Facts are correct and verifiable"
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thoroughness:
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weight: 30
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description: "Topic covered in sufficient depth"
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source_quality:
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weight: 20
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description: "Sources are credible and relevant"
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organization:
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weight: 15
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description: "Findings are well-structured"
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