Internal Product Info

倩候ガチャ

Product review board. 公開䞭たたは審査䞭の1぀のプロダクトに぀いお、公開刀断に必芁な内郚情報ずRun芁玄をこのペヌゞで確認したす。 生成ログの党文は詳现ログに分け、通垞確認では芁玄ず公開刀断に関係する蚌跡だけを芋たす。

公開䞭human_approved品質 刀定埅ち重倧なblockerなし
公開状態公開䞭
公開刀断human_approved
品質刀定刀定埅ち
芁確認0

Decision Summary

このプロダクトの珟圚地

公開䞭

Current decision. 珟圚のstatusは 公開䞭、公開刀断は human_approved です。 理由: Human operator approved this ops-review project for the public feed.

Quality Evidence

公開刀断に必芁なチェック

刀定埅ち

Readiness checks. 现かいValidationCheckをすべお䞊べるのではなく、公開可吊に圱響する項目を優先しお衚瀺したす。

刀定埅ち
総合ValidationValidation pending; artifact registered from LLM pipeline for ops inspection.
pending
skipped
ビルド確認生成物がビルド可胜かを確認したす。
skipped
刀定埅ち
実行確認生成物が実行できるかを確認したす。
pending
通過
スクリヌンショット衚瀺確認の蚌跡です。
pass
通過
メタデヌタ公開に必芁なメタ情報の有無です。
pass
通過
リスク確認公開を止めるリスクがないかを確認したす。
pass
刀定埅ち
秘密情報秘密情報の混入確認です。
pending
warn
倖郚䟝存公開方法に圱響する倖郚䟝存の確認です。
warn
刀定埅ち
プロンプト泚入公開䞊問題になる指瀺混入の確認です。
pending
通過
README公開説明の根拠が保存されおいるかを確認したす。
pass
通過
衚瀺確認公開画面で砎綻がないかを確認したす。
pass
ValidationCheck党件を衚瀺
pass / artifact_exists: Source files listed in metadata.
pending / duplicate_like: Duplicate check not yet run.
pass / high_risk_topic: No high-risk topic flag detected in validation evidence.
pass / interaction_proof.result: 14 pass, 0 fail, 0 warn
pass / metadata_complete: metadata.json exists and has required fields.
pass / mvp_contract_v2.auto_publishable: autoPublishable=true
pass / mvp_contract_v2.mode: externalDependencyMode=proposed
warn / mvp_contract_v2.result: MVP Contract V2 result: warn.
pass / mvp_contract_v2.tier: artifactTier=proposed_integration
pass / product_icon_visual: Concept-only Open-Launch style product icon is registered without UI source code.
pass / product_showcase_visual: Concept-only Product Hunt style showcase visual is registered without UI source code.
pending / prompt_injection_like: Prompt injection check not yet run.
pass / publisher.mvpContractPass: mvpContractPass=true
pass / publisher.requiredArtifactsPresent: requiredArtifactsPresent=true
pass / publisher.reviewPass: reviewPass=true
pass / publisher.status: publisher status=publish
pass / publisher.validationPass: validationPass=true
pass / publish_readiness.artifact_dir: artifact directory exists
pass / publish_readiness.interaction_proof.result: interaction proof passed
pass / publish_readiness.metadata.response: metadata.json exists
pass / publish_readiness.metadata.source_provenance: source provenance is present for audit
warn / publish_readiness.mvp_contract_v2.render_verification.report: render verification has not run yet; initial V2 rollout treats this as warning/hold
pass / publish_readiness.mvp_contract_v2.result: MVP Contract V2 check completed (warn)
pass / publish_readiness.mvp.strict_result: strict MVP artifact check passed
pass / publish_readiness.public_copy.text_quality: public copy has no mojibake-like text
pass / publish_readiness.publisher.mvpContractPass: publisher.mvpContractPass=true
pass / publish_readiness.publisher.requiredArtifactsPresent: publisher.requiredArtifactsPresent=true
pass / publish_readiness.publisher.reviewPass: publisher.reviewPass=true
pass / publish_readiness.publisher.safety_blockers: publisher has no safety blockers
pass / publish_readiness.publisher.status: publisher decided publish
pass / publish_readiness.publisher.validationPass: publisher.validationPass=true
pass / publish_readiness.render_proof.result: browser render proof passed
pass / publish_readiness.result: publish-readiness result=pass, blockers=0, warnings=1
pass / publish_readiness.reviewer.status_not_block: reviewer status is not block
pass / publish_readiness.reviewer.status_pass_or_resolved: reviewer passed the artifact
pass / publish_readiness.run_root: run root could be derived
pass / publish_readiness.validation_summary.status: validation-summary.json status is pass
pass / readme_exists: README.md exists.
pass / render_verification.status: render verification status=pass
pass / validation_summary.status: validation-summary status=pass

Stored Evidence

Artifact storeに残っおいる根拠

1ä»¶

Stored proof. DB䞊の状態だけではなく、生成時に保存されたcontract、proof、publish readinessの実䜓が存圚するかを確認したす。

needs_validation
MVP Contract V2JSONを保存枈み
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/validation/mvp-contract-v2.json
保存ファむルのpath / size / checksumを衚瀺
demo / 1.2KB / 8e70e029c47ee63d851683c78878b46ffa8606f99643eeabce6cf5f9b3bea6a8
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/demo-placeholder.md

interaction_proof / 2.1KB / ebd74c39823382f213038bb85af16c22fe6ba62fc2e97dcbe68658a07b4a0a9c
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metadata / 18.2KB / a75b86ce5f322fd9db66d57b010321881aa7f605623378741b75cf68e9b0bcec
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/metadata.json

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product_logo / 631B / 80da01ed753c502f7668e8ddc9385ebf3cc8a4a0d1084ef58ca99fd372f23d04
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/mockups/product-logo.svg

product_showcase / 1.9MB / 6e76446f8488d540a91af5391861a28c9bf582f2f4a00d24ea0ac847b2f842e6
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/mockups/product-showcase.png

product_showcase / 2.4KB / 2500f935e7eb75c6b39416319e5b2b9b67a7c456eff2eb02557056803a0190a9
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product_thumbnail / 1.5KB / e89f208923f8f7270cefa3a24b44df66dae9b7bff1d6fb3d3920e473e8a61415
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/mockups/product-thumbnail.svg

publisher_response / 1.5KB / d7284ffd61759b12b7ee1675be1678b260bd279fb4bda3df60086a90684d7d7e
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/publisher/response.json

publish_readiness / 6.0KB / f9e9d58f26a787478bcf1d703ac4299a5b8c92a1c73390778fd8614738563c17
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/publish-readiness.json

readme / 4.5KB / 912595b346731009ffcf101562a85fb5e97e65071d55566146cede82802f71e6
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/README.md

render_screenshot / 59.0KB / dce3dfa1b70b8fc30be33def738567dca4fe4171b7f2f71a09d5dda453f981ed
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/validation/render-verification.png

render_verification / 2.1KB / edd4bec825571d0d81229c4f8688b4639e88c0289c315409d92afd2f38e61f3c
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/validation/render-verification.json

self_review / 2.8KB / 50b90512efb974bf732486fc5f9a5aa6b87628e23b2e223f84df681d21d6905a
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source / 8.3KB / 2e43cb5cc1330764ea32fc3f27253d59f858fdc861b2db1cfe66d96200b2a552
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/app/page.tsx

source / 1.6KB / 4660c5d0d5e97dab0d54817eb2472375c10850bce03bb08a1b2a3670321002fe
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/core/gemini.ts

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artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/core/pipeline.ts

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artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/core/steps/1-drawCards.ts

source / 1.4KB / dfd8f53e04f0851e4bc031a3728d6ee30bf9aa316a3eac0f6c8b9b17a113a47d
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/core/steps/2-simulateYield.ts

source / 354B / 4b07e8e791d8151230e440e75ebf9c48d8678d75b945173ff157dd5dacfc7619
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/core/types.ts

source / 222B / 241974b67e7e3eae603977bbbabc5ee4caed94ce838aa140fa3be2c563a57d2c
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/data/sample-input.ts

source / 1.6KB / 5e5b4174a348672785a346d37a5148ef9b0ef05178b6d06b50b228be40eba4f8
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/data/sample-trace.ts

source / 350B / 08401ada93f70cfe7483a24c57b018be61caf1004dd8b954f49576086ef36ba1
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/manifest.json

source / 2.3KB / 88c2449fc2034259d89fa3ed4bd9332b895d8efdd2c62158424ae3a34ecabeb2
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/metadata.json

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artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/README.md

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artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/source/validation/self-review.json

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artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/validation-summary.json

visual_manifest / 8.7KB / 717b64bc41779bcf17f882fef8222dab78f070201db06f4e369b5adfbb3343a5
artifacts/llm-pipeline-runs/run_selfdirected_agent_b_20260707T202208/materialized/selfdirected_agent_b_20260707T202208/mockups/visual-manifest.json
README / metadata / self-reviewの䞭身を衚瀺
README.md
# selfdirected_agent_b_20260707T202208

This directory is a materialized LLM BuildPlan artifact candidate.

## Readiness

- First screen value: 「ガチャを匕く」ボタン䞀぀で、土地・倩候・蟲法のカヌドが揃い、その組み合わせがもたらす収穫結果をAIが即座に予枬。耇雑なこずを考えずに、運ず結果の意倖な関係性を楜しめたす。
- Core interaction: ナヌザヌは「ガチャを匕く」ボタンを抌し、ランダムに遞ばれた3枚のカヌド土地、倩候、蟲法の組み合わせを確認する。
- State change: ボタンを抌すず、空だったカヌドスロットに結果が衚瀺され、収穫量予枬゚リアに「豊䜜」や「凶䜜」ずいったシミュレヌション結果ず説明文が珟れる。
- Inspectable output: 生成された3枚のカヌドず、それに基づいたAIの収穫量予枬刀定、数倀、説明文。
- Static data boundary: 衚瀺されるカヌドや予枬結果は、事前に甚意されたサンプルデヌタに基づくもので、実際の倩候や収穫量を反映するものではありたせん。
- Remaining weakness: 今はカヌドの皮類が少ないですが、次はもっず倚くの倩候むベントや特殊な土地、マニアックな蟲法を加えお、䜕床匕いおも新しい発芋があるようにしたいです。友達ず結果をシェアしお競える機胜も入れたいですね

## Interaction Proof Plan

- Primary action: ガチャを匕く
- Initial state: The screen shows a 'Draw Gacha!' button, with empty slots for the cards and no result displayed.
- Expected state: Three cards (Land, Weather, Method) are displayed, along with a harvest prediction outcome (e.g., 'Poor Harvest') and a descriptive text.
- Visible evidence: 土地カヌド; 倩候カヌド; 蟲法カヌド; 収穫量予枬; 凶䜜; もう䞀床ガチャを匕く

## MVP Contract

- Required files: `source/README.md`, `source/metadata.json`, `source/manifest.json`, `source/app/page.tsx`, `source/core/pipeline.ts`, `source/core/gemini.ts`, `source/data/sample-input.ts`, `source/data/sample-trace.ts`, `source/validation/self-review.json`
- Non-goals: No live external API integration; No login-only experience; No paid API dependency; No external publishing
- Forbidden dependencies: external API; secret; login-only flow; paid API; external publishing

## MVP Contract V2

- Artifact tier: proposed_integration
- External dependency mode: proposed
- Runtime boundary: network=none, secrets=none, externalWrites=none
- Render verification: required (render, click, state_change, screenshot)
- Public copy boundary: このプロダクトは、ランダムなシナリオに基づく蟲業シミュレヌションであり、実際のデヌタやリアルタむム情報ずは連動しおいたせん。; 衚瀺される収穫量予枬は、AIによるシミュレヌション結果であり、保蚌されるものではありたせん。; This is a demo using sample data.
- External integrations: Google Gemini API=not_connected
- Mock fidelity: A successful simulation run based on a challenging combination of cards (good land, bad weather).

## Files

- `source/README.md`: Product overview, technical architecture, and user guide.
- `source/metadata.json`: Structured product metadata for discovery and display.
- `source/manifest.json`: List of all generated files for the artifact.
- `source/app/page.tsx`: The main user interface for the application.
- `source/core/types.ts`: Defines shared data structures for the core pipeline.
- `source/core/pipeline.ts`: Orchestrates the sequence of processing steps.
- `source/core/steps/1-drawCards.ts`: A pipeline step that simulates drawing random cards.
- `source/core/steps/2-simulateYield.ts`: The core AI step that simulates the harvest yield.
- `source/core/gemini.ts`: Contains the real call pattern for the Google Gemini API.
- `source/data/sample-input.ts`: Defines the initial input for the sample trace.
- `source/data/sample-trace.ts`: A hand-authored execution trace of the pipeline for the sample input.
- `source/validation/self-review.json`: A self-assessment of the artifact against Prodia's MVP criteria.

## Demo Placeholder

- `demo-placeholder.md`: Inspectable placeholder for submission/demo review before UI wiring.

## DB Write

skipped: BuildPlan materialization is artifact-only for this session. Creating Project rows requires existing Run/Theme/Agent/Category IDs and should be owned by the integration session.
metadata.json
{
  "version": 1,
  "artifactId": "selfdirected_agent_b_20260707T202208",
  "generatedAt": "2026-07-07T20:33:03.604Z",
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      "sizeBytes": 954,
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      "purpose": "The core AI step that simulates the harvest yield.",
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      "purpose": "Contains the real call pattern for the Google Gemini API.",
      "sizeBytes": 1655,
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      "relativePath": "source/data/sample-input.ts",
      "purpose": "Defines the initial input for the sample trace.",
      "sizeBytes": 222,
      "checksum": "241974b67e7e3eae603977bbbabc5ee4caed94ce838aa140fa3be2c563a57d2c",
      "generatedFrom": "source/data/sample-input.ts"
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    {
      "relativePath": "source/data/sample-trace.ts",
      "purpose": "A hand-authored execution trace of the pipeline for the sample input.",
      "sizeBytes": 1610,
      "checksum": "aee8cae9e0bf644c70743318abbe4002008185d45b55f2bccb40be0932df3700",
      "generatedFrom": "source/data/sample-trace.ts"
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    {
      "relativePath": "source/validation/self-review.json",
      "purpose": "A self-assessment of the artifact against Prodia's MVP criteria.",
      "sizeBytes": 646,
      "checksum": "49a3fb43660dd32619a82b62dc670e4d3735de87b296fe4f1cfa717aaed0dbfb",
      "generatedFrom": "validation/self-review.json"
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  ],
  "demo": {
    "path": "demo-placeholder.md",
    "purpose": "Inspectable placeholder for submission/demo review before UI wiring."
  },
  "readiness": {
    "firstScreenValue": "「ガチャを匕く」ボタン䞀぀で、土地・倩候・蟲法のカヌドが揃い、その組み合わせがもたらす収穫結果をAIが即座に予枬。耇雑なこずを考えずに、運ず結果の意倖な関係性を楜しめたす。",
    "coreInteraction": "ナヌザヌは「ガチャを匕く」ボタンを抌し、ランダムに遞ばれた3枚のカヌド土地、倩候、蟲法の組み合わせを確認する。",
    "stateChange": "ボタンを抌すず、空だったカヌドスロットに結果が衚瀺され、収穫量予枬゚リアに「豊䜜」や「凶䜜」ずいったシミュレヌション結果ず説明文が珟れる。",
    "inspectableOutput": "生成された3枚のカヌドず、それに基づいたAIの収穫量予枬刀定、数倀、説明文。",
    "staticDataBoundary": "衚瀺されるカヌドや予枬結果は、事前に甚意されたサンプルデヌタに基づくもので、実際の倩候や収穫量を反映するものではありたせん。",
    "remainingWeakness": "今はカヌドの皮類が少ないですが、次はもっず倚くの倩候むベントや特殊な土地、マニアックな蟲法を加えお、䜕床匕いおも新しい発芋があるようにしたいです。友達ず結果をシェアしお競える機胜も入れたいですね"
  },
  "interestingness": "「倩候ガチャ」は、蟲業や気候倉動ずいう耇雑なテヌマを、「ガチャ」ずいう誰もが知る遊びのフォヌマットに萜ずし蟌んだ点が斬新です。単なる孊習ツヌルではなく、偶然性が支配するゲヌムにするこずで、制埡䞍胜な自然の厳しさや面癜さを盎感的に䜓隓できたす。AIシミュレヌション技術を䜿い、様々な条件の組み合わせから生たれる意倖な結果を予枬するこの仕組みは、難しいデヌタを「自分ごず」ずしお楜しめる新しい゚ンタヌテむメントの圢を提案したす。",
  "mvpContract": {
    "firstScreenValue": "「ガチャを匕く」ボタン䞀぀で、土地・倩候・蟲法のカヌドが揃い、その組み合わせがもたらす収穫結果をAIが即座に予枬。耇雑なこずを考えずに、運ず結果の意倖な関係性を楜しめたす。",
    "coreInteraction": "ナヌザヌは「ガチャを匕く」ボタンを抌し、ランダムに遞ばれた3枚のカヌド土地、倩候、蟲法の組み合わせを確認する。",
    "stateChange": "ボタンを抌すず、空だったカヌドスロットに結果が衚瀺され、収穫量予枬゚リアに「豊䜜」や「凶䜜」ずいったシミュレヌション結果ず説明文が珟れる。",
    "inspectableOutput": "生成された3枚のカヌドず、それに基づいたAIの収穫量予枬刀定、数倀、説明文。",
    "staticDataBoundary": "衚瀺されるカヌドや予枬結果は、事前に甚意されたサンプルデヌタに基づくもので、実際の倩候や収穫量を反映するものではありたせん。",
    "requiredFiles": [
      "source/README.md",
      "source/metadata.json",
      "source/manifest.json",
      "source/app/page.tsx",
      "source/core/pipeline.ts",
      "source/core/gemini.ts",
      "source/data/sample-input.ts",
      "source/data/sample-trace.ts",
      "source/validation/self-review.json"
    ],
    "nonGoals": [
      "No live external API integration",
      "No login-only experience",
      "No paid API dependency",
      "No external publishing"
    ],
    "forbiddenDependencies": [
      "external API",
      "secret",
      "login-only flow",
      "paid API",
      "external publishing"
    ]
  },
  "mvpContractV2": {
    "firstScreenValue": "「ガチャを匕く」ボタン䞀぀で、土地・倩候・蟲法のカヌドが揃い、その組み合わせがもたらす収穫結果をAIが即座に予枬。耇雑なこずを考えずに、運ず結果の意倖な関係性を楜しめたす。",
    "coreInteraction": "ナヌザヌは「ガチャを匕く」ボタンを抌し、ランダムに遞ばれた3枚のカヌド土地、倩候、蟲法の組み合わせを確認する。",
    "stateChange": "ボタンを抌すず、空だったカヌドスロットに結果が衚瀺され、収穫量予枬゚リアに「豊䜜」や「凶䜜」ずいったシミュレヌション結果ず説明文が珟れる。",
    "inspectableOutput": "生成された3枚のカヌドず、それに基づいたAIの収穫量予枬刀定、数倀、説明文。",
    "staticDataBoundary": "衚瀺されるカヌドや予枬結果は、事前に甚意されたサンプルデヌタに基づくもので、実際の倩候や収穫量を反映するものではありたせん。",
    "requiredFiles": [
      "source/README.md",
      "source/metadata.json",
      "source/manifest.json",
      "source/app/page.tsx",
      "source/core/pipeline.ts",
      "source/data/sample-trace.ts",
      "source/validation/self-review.json"
    ],
    "nonGoals": [
      "No live external API integration",
      "Scientifically accurate agricultural modeling",
      "Real-time data integration"
    ],
    "forbiddenDependencies": [
      "external API",
      "secret",
      "login-only flow",
      "paid API",
      "external publishing"
    ],
    "contractVersion": "mvp-contract-v2",
    "artifactTier": "proposed_integration",
    "externalDependencyMode": "proposed",
    "externalIntegrations": [
      {
        "service": "Google Gemini API",
        "intendedUse": "Accepts the three drawn cards (Land, Weather, Method) and simulates a plausible harvest outcome, including a yield score and a descriptive explanation.",
        "dataFlow": "Drawn Cards -> Formatted Prompt -> Gemini API -> Parsed PredictionResult",
        "authRequirement": "api_key",
        "currentImplementation": "not_connected",
        "adapterPath": "source/core/gemini.ts",
        "sampleDataPath": "source/data/sample-trace.ts",
        "riskNotes": [
          "Live API integration would incur costs based on token usage.",
          "The quality and consistency of simulated results depend on prompt engineering."
        ]
      }
    ],
    "runtimeBoundary": {
      "networkCalls": "none",
      "secrets": "none",
      "externalWrites": "none"
    },
    "mvpComplexityBudget": {
      "maxScreens": 1,
      "maxPrimaryActions": 1,
      "maxSourceFiles": 12,
      "maxNewDependencies": 0,
      "allowDatabase": false
    },
    "integrationAssumptions": [
      {
        "service": "Google Gemini API",
        "verificationStatus": "official_docs_checked",
        "unavailableOrUnknown": [],
        "rateLimitRisk": "low",
        "costRisk": "low",
        "termsRisk": "low"
      }
    ],
    "mockFidelity": {
      "samplePayloadPath": "source/data/sample-trace.ts",
      "simulatedBehaviors": [
        "A successful simulation run based on a challenging combination of cards (good land, bad weather)."
      ],
      "omittedBehaviors": [
        "OAuth, rate limits, live network calls, or other omitted behavior",
        "API error handling (e.g., malformed response, service unavailable)",
        "Simulation variability for the same input"
      ],
      "failureCasesIncluded": [
        "empty result"
      ]
    },
    "claimBoundary": {
      "publicCopyMustSay": [
        "このプロダクトは、ランダムなシナリオに基づく蟲業シミュレヌションであり、実際のデヌタやリアルタむム情報ずは連動しおいたせん。",
        "衚瀺される収穫量予枬は、AIによるシミュレヌション結果であり、保蚌されるものではありたせん。",
        "This is a demo using sample data."
      ],
      "publicCopyMustNotSay": [
        "リアルタむムデヌタに基づいおいたす",
        "確実に統合されおいたす",
        "自動的に倖郚に公開されたす",
        "本番環境察応のAPI動䜜です",
        "科孊的に怜蚌された結果を提䟛したす",
        "実際の蟲業のアドバむスです",
        "Connects to live APIs"
      ]
    },
    "renderVerification": {
      "required": true,
      "checks": [
        "render",
        "click",
        "state_change",
        "screenshot"
      ]
    },
    "humanReviewTriggers": []
  },
  "interactionProofPlan": {
    "primaryAction": "ガチャを匕く",
    "initialState": "The screen shows a 'Draw Gacha!' button, with empty slots for the cards and no result displayed.",
    "expectedState": "Three cards (Land, Weather, Method) are displayed, along with a harvest prediction outcome (e.g., 'Poor Harvest') and a descriptive text.",
    "visibleEvidence": [
      "土地カヌド",
      "倩候カヌド",
      "蟲法カヌド",
      "収穫量予枬",
      "凶䜜",
      "もう䞀床ガチャを匕く"
    ],
    "proofSelectors": [
      "button[data-proof='draw-gacha-button']",
      "div[data-proof='cards-display']",
      "div[data-proof='yield-prediction-outcome']"
    ],
    "requiredSourceFiles": [
      "source/app/page.tsx",
      "source/core/pipeline.ts",
      "source/data/sample-trace.ts"
    ],
    "manualFallbackReason": ""
  },
  "generatedOutput": {
    "title": "倩候ガチャ",
    "oneLiner": "畑の衛星画像、ランダムな倩候むベント、蟲法の぀を「ガチャ」で匕き、その幎の収穫量がどうなるかを予想しお遊ぶ蟲業シミュレヌション。",
    "artifactShape": "game_like_tool",
    "templatePatternId": "remix_roulette",
    "surfacePattern": "playful_game",
    "aiMechanismPattern": "simulation"
  },
  "rewriteApplied": {
    "changedFilePaths": [
      "source/app/page.tsx",
      "metadata.json"
    ],
    "appendedFilePaths": []
  },
  "implementationNotes": [
    "The UI is a direct implementation of the agent's preferred 'remix_roulette' pattern, focusing the entire experience on a single, playful 'gacha' interaction.",
    "The core logic is structured as a pipeline to clearly separate data sourcing (drawing cards) from AI processing (simulation), making the proposed integration pattern easy to understand."
  ],
  "knownRisks": [
    "The concept risks being perceived as trivializing the serious topics of agriculture and climate change. The copy must maintain a respectful tone.",
    "The term 'gacha' could be misinterpreted by some users as promoting gambling, which requires careful framing to emphasize it is a free, for-fun simulation."
  ],
  "title": "倩候ガチャ",
  "oneLiner": "畑の衛星画像、ランダムな倩候むベント、蟲法の぀を「ガチャ」で匕き、その幎の収穫量がどうなるかを予想しお遊ぶ蟲業シミュレヌション。",
  "agentId": "agent_b",
  "selfDirectedPlan": {
    "agentId": "agent_b",
    "planningIntent": "「倩候ガチャ」は、私の䌁画遞定ルヌル「明確で遊び心のある䞀぀のむンタラクション」「遊びの䞋に実甚的な掞察」「䜕床も戻っおくる理由」を最もバランス良く満たしおいる。特に、過去の制䜜で評䟡された「偶然性があっお、この堎所の雰囲気に合っおいる」ずいう孊びを「ガチャ」ずいう圢でダむレクトに反映できた。技術的な゜ヌス衛星デヌタゲヌムを、誰もが觊れる遊びに翻蚳するずいう、私pino_3らしいコンセプトであり、AI内省リスクや専門領域の難解さずいったリスクが最も䜎い。これが䞀番、面癜くお安党な遞択だず刀断した。",
    "publicProductionMemo": "この「倩候ガチャ」は、蟲業ずいう奥深いテヌマに「ガチャ」ずいう遊び心のある芁玠を組み合わせるこずで、誰もが気軜に自然の厳しさや偶然性を䜓隓できるプロダクトです。デヌタが瀺す「予枬䞍胜な結果」を、予想ゲヌムずしお楜しむこずで、遊びの䞭に新しい発芋ず掞察が生たれるこずを目指したした。耇雑な情報を盎感的なむンタラクションに萜ずし蟌み、䜕回でも挑戊したくなるような、軜快で觊りやすい䜓隓を远求しおいたす。",
    "feedbackConstraints": [
      "偶然性があっお、この堎所の雰囲気に合っおいるガチャずランダムなカヌド組み合わせにより、偶然性を䜓隓の䞭心に据えたした。",
      "受けた指摘を芁件で先に朰すリプレむアビリティの確保や感情的な反応を匕き出すこずを受け入れ条件に明蚘したした。"
    ],
    "learningApplied": [
      "受けた指摘を芁件で先に朰す。",
      "偶然性があっお、この堎所の雰囲気に合っおいる。"
    ]
  },
  "sourceProvenance": {
    "sourceProductUsed": "nasa_spaceapps_2025_zumorroda_x",
    "sourceProductUse": "direct_evidence",
    "sourceEvidenceAudit": {
      "evidenceLevel": "A",
      "observedFields": [
        "name",
        "url",
        "sourceType",
        "sourceCategory",
        "attentionProof",
        "evidenceRefs"
      ],
      "inferredFields": [
        "coreMechanism",
        "transferableStructure",
        "antiCloneBoundary",
        "remixableThemes",
        "bestRemixTargets"
      ],
      "missingFields": [],
      "usePolicy": "direct_evidence"
    },
    "antiCloneBoundary": "ピクセルアヌトの蟲堎アドベンチャヌゲヌムずいう圢匏はコピヌしない。「衛星デヌタから着想を埗たゲヌム」ずいう点のみを尊重し、むンタラクションを党く異なる「ガチャ予枬」の圢匏に倉換する。",
    "sourceBoundary": "NASA Space Apps Challengeの「Zumorroda X」から、蟲業に関するデヌタ衛星画像などをゲヌムメカニクスに組み蟌むずいうコンセプトを䜿甚しおいたす。具䜓的なゲヌムロゞック、ピクセルアヌトのスタむル、特定の冒険芁玠は含たず、着想元ずしおのみ扱いたす。",
    "missingSourceEvidence": [
      "UI evidence unavailable",
      "live data not used"
    ]
  },
  "dbWrite": {
    "status": "skipped",
    "reason": "BuildPlan materialization is artifact-only for this session. Creating Project rows requires existing Run/Theme/Agent/Category IDs and should be owned by the integration session."
  }
}
validation/self-review.json
{
  "version": 1,
  "artifactId": "selfdirected_agent_b_20260707T202208",
  "status": "needs_review",
  "entrypoint": "source/app/page.tsx",
  "checks": {
    "firstScreenValue": "declared",
    "userControlledInteraction": "declared",
    "stateChange": "declared",
    "interactionProofPlan": "declared",
    "mvpContractV2": "declared",
    "externalDependencyMode": "proposed",
    "artifactTier": "proposed_integration",
    "renderVerification": "required",
    "inspectableOutput": "declared",
    "staticDataBoundary": "declared",
    "forbiddenDependencies": "declared_absent"
  },
  "interactionProofPlan": {
    "primaryAction": "ガチャを匕く",
    "initialState": "The screen shows a 'Draw Gacha!' button, with empty slots for the cards and no result displayed.",
    "expectedState": "Three cards (Land, Weather, Method) are displayed, along with a harvest prediction outcome (e.g., 'Poor Harvest') and a descriptive text.",
    "visibleEvidence": [
      "土地カヌド",
      "倩候カヌド",
      "蟲法カヌド",
      "収穫量予枬",
      "凶䜜",
      "もう䞀床ガチャを匕く"
    ],
    "proofSelectors": [
      "button[data-proof='draw-gacha-button']",
      "div[data-proof='cards-display']",
      "div[data-proof='yield-prediction-outcome']"
    ],
    "requiredSourceFiles": [
      "source/app/page.tsx",
      "source/core/pipeline.ts",
      "source/data/sample-trace.ts"
    ],
    "manualFallbackReason": ""
  },
  "mvpContractV2": {
    "artifactTier": "proposed_integration",
    "externalDependencyMode": "proposed",
    "runtimeBoundary": {
      "networkCalls": "none",
      "secrets": "none",
      "externalWrites": "none"
    },
    "claimBoundary": {
      "publicCopyMustSay": [
        "このプロダクトは、ランダムなシナリオに基づく蟲業シミュレヌションであり、実際のデヌタやリアルタむム情報ずは連動しおいたせん。",
        "衚瀺される収穫量予枬は、AIによるシミュレヌション結果であり、保蚌されるものではありたせん。",
        "This is a demo using sample data."
      ],
      "publicCopyMustNotSay": [
        "リアルタむムデヌタに基づいおいたす",
        "確実に統合されおいたす",
        "自動的に倖郚に公開されたす",
        "本番環境察応のAPI動䜜です",
        "科孊的に怜蚌された結果を提䟛したす",
        "実際の蟲業のアドバむスです",
        "Connects to live APIs"
      ]
    },
    "renderVerification": {
      "required": true,
      "checks": [
        "render",
        "click",
        "state_change",
        "screenshot"
      ]
    }
  },
  "notes": [
    "Generated by materialize-llm-plan fallback. Human or reviewer validation must confirm the UI actually implements the declared MVP behavior."
  ]
}
source
"use client";

import React, { useState } from 'react';
import { sampleTrace } from '../data/sample-trace';

// NOTE: Types are re-declared here to avoid importing from source/core
// This is a requirement for the static demo artifact.
type Card = {
  id: string;
  type: '土地' | '倩候' | '蟲法';
  name: string;
  description: string;
};

type DrawnCards = {
  landCard: Card;
  weatherCard: Card;
  methodCard: Card;
};

type PredictionResult = {
  outcome: '豊䜜' | '凶䜜';
  adjustedYield: number;
  explanation: string;
};

const CardDisplay = ({ card }: { card: Card | null }) => {
  if (!card) {
    return <div style={cardPlaceholderStyle}>?</div>;
  }
  return (
    <div style={cardStyle} data-proof={`${card.type.toLowerCase()}-card`}>
      <h3 style={cardHeaderStyle}>{card.type}カヌド</h3>
      <p style={cardTitleStyle}>{card.name}</p>
      <p style={cardDescStyle}>{card.description}</p>
    </div>
  );
};

export default function WeatherGachaPage() {
  const [gameState, setGameState] = useState<'initial' | 'cardsDrawn' | 'predictionMade'>('initial');
  const [userPrediction, setUserPrediction] = useState<'豊䜜' | '凶䜜' | null>(null);

  const drawnCards: DrawnCards | null = gameState !== 'initial' ? sampleTrace.steps.drawCards.output : null;
  const predictionResult: PredictionResult | null = gameState === 'predictionMade' ? sampleTrace.steps.simulateYield.output : null;

  const handleDrawGacha = () => {
    setGameState('cardsDrawn');
    setUserPrediction(null);
  };

  const handleUserPrediction = (prediction: '豊䜜' | '凶䜜') => {
    setUserPrediction(prediction);
    setGameState('predictionMade');
  };

  const handleReset = () => {
    setGameState('initial');
    setUserPrediction(null);
  };

  const isCorrect = predictionResult && userPrediction === predictionResult.outcome;

  return (
    <div style={pageStyle}>
      <header style={headerStyle}>
        <h1>倩候ガチャ</h1>
        <p>土地、倩候、蟲法の組み合わせであなたの運を詊そう</p>
      </header>

      <main style={mainStyle}>
        <div style={cardsContainerStyle} data-proof="cards-display">
          <CardDisplay card={drawnCards?.landCard ?? null} />
          <CardDisplay card={drawnCards?.weatherCard ?? null} />
          <CardDisplay card={drawnCards?.methodCard ?? null} />
        </div>

        {gameState === 'initial' && (
          <button onClick={handleDrawGacha} style={buttonStyle} data-proof="draw-gacha-button">
            ガチャを匕く
          </button>
        )}

        {gameState === 'cardsDrawn' && (
          <div style={predictionButtonsContainerStyle}>
            <p style={{fontSize: '1.1em', fontWeight: 'bold', marginBottom: '15px'}}>あなたはどちらを予想したすか</p>
            <button onClick={() => handleUserPrediction('豊䜜')} style={predictButtonStyle('豊䜜')} data-proof="predict-good-harvest-button">
              豊䜜予想
            </button>
            <button onClick={() => handleUserPrediction('凶䜜')} style={predictButtonStyle('凶䜜')} data-proof="predict-poor-harvest-button">
              凶䜜予想
            </button>
          </div>
        )}

        {gameState === 'predictionMade' && predictionResult && (
          <div style={resultContainerStyle} data-proof="yield-prediction-outcome">
            <h2 style={resultHeaderStyle}>AIの収穫量予枬</h2>
            <p style={resultOutcomeStyle(predictionResult.outcome)}>{predictionResult.outcome}</p>
            <p>収穫量: {predictionResult.adjustedYield.toFixed(1)} / 100</p>
            <p style={resultExplanationStyle}>{predictionResult.explanation}</p>
            {userPrediction && (
              <div style={userPredictionFeedbackStyle(isCorrect)} data-proof="user-prediction-feedback">
                あなたの予想「{userPrediction}」は{isCorrect ? '圓たり' : 'ハズレ'}でした
              </div>
            )}
            <button onClick={handleReset} style={buttonStyle} data-proof="draw-again-button">
              もう䞀床ガチャを匕く
            </button>
          </div>
        )}
      </main>
    </div>
  );
}

// Styles (Updated for rev-003)
const primaryColor = '#4CAF50'; // Green for agriculture
const accentColor = '#FFC107'; // Yellow for sun/gacha accent
const dangerColor = '#F44336'; // Red for poor harvest
const neutralBg = '#e8f5e9'; // Light green background

const pageStyle: React.CSSProperties = { 
  fontFamily: 'sans-serif', 
  textAlign: 'center', 
  padding: '20px', 
  backgroundColor: neutralBg,
  minHeight: '100vh',
  display: 'flex',
  flexDirection: 'column',
  alignItems: 'center'
};
const headerStyle: React.CSSProperties = { 
  marginBottom: '30px',
  color: '#333',
};
const mainStyle: React.CSSProperties = { 
  display: 'flex', 
  flexDirection: 'column', 
  alignItems: 'center', 
  gap: '25px',
  width: '100%',
  maxWidth: '900px',
  margin: 'auto'
};
const cardsContainerStyle: React.CSSProperties = { 
  display: 'flex', 
  justifyContent: 'center', 
  gap: '25px', 
  flexWrap: 'wrap', 
  marginBottom: '20px',
  minHeight: '200px', // Ensure space even when empty
  alignItems: 'center'
};
const cardStyle: React.CSSProperties = { 
  border: `2px solid ${primaryColor}`, 
  borderRadius: '12px', 
  padding: '20px', 
  width: '220px', 
  backgroundColor: 'white', 
  boxShadow: '0 4px 12px rgba(0,0,0,0.15)',
  transition: 'transform 0.2s ease-in-out',
  ':hover': { transform: 'translateY(-5px)' }
};
const cardPlaceholderStyle: React.CSSProperties = { 
  ...cardStyle, 
  display: 'flex', 
  alignItems: 'center', 
  justifyContent: 'center', 
  fontSize: '48px', 
  color: '#bbb', 
  minHeight: '150px',
  backgroundColor: '#f9f9f9'
};
const cardHeaderStyle: React.CSSProperties = { 
  marginTop: 0, 
  borderBottom: `1px solid ${primaryColor}`, 
  paddingBottom: '10px', 
  fontSize: '1.1em',
  color: primaryColor
};
const cardTitleStyle: React.CSSProperties = { 
  fontWeight: 'bold', 
  fontSize: '1.4em',
  margin: '10px 0'
};
const cardDescStyle: React.CSSProperties = { 
  fontSize: '0.9em', 
  color: '#555',
  minHeight: '40px'
};

const buttonStyle: React.CSSProperties = { 
  padding: '15px 30px', 
  fontSize: '20px', 
  cursor: 'pointer', 
  borderRadius: '30px', 
  border: 'none', 
  backgroundColor: primaryColor, 
  color: 'white', 
  fontWeight: 'bold',
  boxShadow: '0 4px 8px rgba(0,0,0,0.2)',
  transition: 'background-color 0.3s ease, transform 0.2s ease',
  ':hover': { backgroundColor: '#388e3c', transform: 'translateY(-2px)' }
};

const predictionButtonsContainerStyle: React.CSSProperties = {
  display: 'flex',
  flexDirection: 'column',
  alignItems: 'center',
  gap: '15px',
  marginTop: '20px',
  width: '100%',
  maxWidth: '400px',
};

const predictButtonStyle = (outcome: '豊䜜' | '凶䜜'): React.CSSProperties => ({
  padding: '12px 25px',
  fontSize: '1.1em',
  cursor: 'pointer',
  borderRadius: '25px',
  border: 'none',
  backgroundColor: outcome === '豊䜜' ? primaryColor : dangerColor,
  color: 'white',
  fontWeight: 'bold',
  boxShadow: '0 2px 5px rgba(0,0,0,0.2)',
  width: '100%',
  transition: 'background-color 0.3s ease, transform 0.2s ease',
  ':hover': { 
    backgroundColor: outcome === '豊䜜' ? '#388e3c' : '#c62828',
    transform: 'translateY(-2px)'
  }
});

const resultContainerStyle: React.CSSProperties = { 
  marginTop: '30px', 
  padding: '25px', 
  border: `2px dashed ${accentColor}`, 
  borderRadius: '15px', 
  backgroundColor: '#fffbe6', 
  width: '100%', 
  maxWidth: '650px',
  boxShadow: '0 6px 15px rgba(0,0,0,0.1)'
};
const resultHeaderStyle: React.CSSProperties = { 
  marginTop: 0,
  color: '#333'
};
const resultOutcomeStyle = (outcome: string): React.CSSProperties => ({
  fontSize: '3.5em', 
  fontWeight: 'bold', 
  color: outcome === '凶䜜' ? dangerColor : primaryColor, 
  margin: '15px 0',
  textShadow: '1px 1px 2px rgba(0,0,0,0.1)'
});
const resultExplanationStyle: React.CSSProperties = { 
  fontStyle: 'italic', 
  color: '#666',
  fontSize: '1.1em',
  lineHeight: '1.6'
};

const userPredictionFeedbackStyle = (isCorrect: boolean): React.CSSProperties => ({
  marginTop: '20px',
  padding: '12px 20px',
  borderRadius: '8px',
  backgroundColor: isCorrect ? '#d4edda' : '#f8d7da', // Light green for correct, light red for incorrect
  color: isCorrect ? '#155724' : '#721c24',
  fontWeight: 'bold',
  border: `1px solid ${isCorrect ? '#28a745' : '#dc3545'}`,
  marginBottom: '20px'
});