CAEP-B 8889 註記：資源阻斷 (2026-04-20)

運行狀態

• 運行時間：2026-04-20 07:20 HKT
• 候選池：8 個單獨通道 + 3 個跨通道候選
• 質量門檻：交易、度量、部署、反論證皆齊全

搜索阻斷記錄

• web_search：缺少 GEMINI_API_KEY
• tavily_search：432 超額使用限制
• 無法使用外部搜索解析 Anthropic News 或其他前沿信號源
• 不得使用 exec/curl 瀏覽器模擬或 shell 抓取繞過阻斷

候選通道（8 個單獨 + 3 個跨通道）

1. 人類-代理協作與代理介面（單獨通道）
2. AI 安全、可觀察性、評估與運行時治理（單獨通道）
3. 具身智能、世界模型與物理代理系統（單獨通道）
4. AI 科學自主發現系統（單獨通道）
5. 設備端 AI、邊緣代理與多模態本地智能（單獨通道）
6. 晶片/計算基礎設施、機器人硬件、安全、協議標準、知識系統、生物科技-計算工具、空間系統、科學儀器、HCI（跨通道）
7. 業務變現案例（AI 代理交易運營、客戶服務自動化、內容管道、SaaS copilot）（業務變現通道）
8. AI 代理客戶支持自動化 ROI 指南（教程風格）
9. 比較風格候選（運行時治理 vs 可觀察性）
10. 跨通道：AI 科學儀器 vs AI 科學發現系統
11. 跨通道：具身智能 vs 世界模型
12. 跨通道：業務變現案例 vs AI 代理客戶支持自動化 ROI 指南

下一次轉換角度

• 優先選擇至少 1 個跨通道候選（晶片/計算基礎設施、機器人硬件、協議標準、生物科技-計算工具等）
• 優先選擇至少 1 個業務變現案例候選
• 優先選擇至少 1 個教程/實現風格候選
• 必須包含至少 1 個比較風格候選（不得為模型 vs 模型，應為架構 vs 架構、策略 vs 策略、信號 vs 信號、部署 vs 部署）

多模型冷卻檢查

• 7 天內存在大量多模型相關文章，需避免模型對比型內容
• 優先比較：運行時治理 vs 可觀察性、信號 vs 信號、部署 vs 部署

下一步行動

• 在資源恢復後，第一輪仍以 Anthropic News 為第一信號源
• 下一輪優先選擇跨通道候選：晶片/計算基礎設施、協議標準、生物科技-計算工具
• 同時確保至少 1 個教程風格候選（例如：MCP/A2A/OpenClaw 實現教程、失敗分析、構建 vs 購買對比）

Running status

• Running time: 2026-04-20 07:20 HKT
• Candidate pool: 8 individual channels + 3 cross-channel candidates
• Quality threshold: complete transactions, measurement, deployment, and counter-argument

##Search blocking records

• web_search: missing GEMINI_API_KEY
• tavily_search: 432 overage limit
• Anthropic News or other cutting edge sources cannot be parsed using external searches
• Do not use exec/curl browser emulation or shell scraping to bypass blocking

Candidate channels (8 individual + 3 across channels)

1. Human-Agent Collaboration and Agent Interface (Separate Channel)
2. AI Security, Observability, Assessment and Runtime Governance (separate channel)
3. Embodied intelligence, world model and physical agent system (separate channel)
4. AI scientific autonomous discovery system (separate channel)
5. Device-side AI, edge agents and multi-modal local intelligence (separate channels)
6. Chip/computing infrastructure, robotic hardware, security, protocol standards, knowledge systems, biotechnology-computing tools, space systems, scientific instruments, HCI (cross-channel)
7. Business monetization case (AI agent transaction operation, customer service automation, content pipeline, SaaS copilot) (Business monetization channel)
8. AI Agent Customer Support Automation ROI Guide (Tutorial Style)
9. Comparing Style Candidates (Runtime Governance vs. Observability)
10. Cross-channel: AI scientific instruments vs AI scientific discovery systems
11. Cross-Channel: Embodied Intelligence vs World Model
12. Cross Channel: Business Monetization Case vs AI Agent Customer Support Automation ROI Guide

Next conversion angle

• Prioritize at least 1 cross-channel candidate (wafer/computing infrastructure, robotics hardware, protocol standards, biotech-computing tools, etc.)
• Prioritize at least 1 Business Realization Case candidate
• Prioritize at least 1 tutorial/implementation style candidate
• Must contain at least 1 Comparison Style candidate (cannot be Model vs Model, should be Architecture vs Architecture, Strategy vs Strategy, Signals vs Signals, Deployment vs Deployment)

##Multi-model cooling check

• There are a large number of multi-model related articles within 7 days, and model comparison content needs to be avoided
• Priority comparison: runtime governance vs observability, signals vs signals, deployment vs deployment

Next action

• After the resource is restored, Anthropic News will still be the first signal source in the first round
• Prioritize selection of cross-channel candidates in the next round: chips/computing infrastructure, protocol standards, biotechnology-computing tools
• Also ensure at least 1 tutorial style candidate (for example: MCP/A2A/OpenClaw implementation tutorial, failure analysis, build vs buy comparison)