Tencent Handbook Breaks Down the Agent Technology Foundation: StepFun Post-Training Efficiency Up 30%

Tencent, Tencent Cloud, and WorkBuddy jointly released a 78-page "2026 AI Agent Enterprise Solutions and Implementation Practices Handbook." The entire document is tied together by a single product narrative: first, WorkBuddy pushes the personal assistant into a "digital employee" embedded in business systems; then ClawPro, Agent Runtime, and TokenHub handle provisioning, isolation, models, and governance; the remaining chapters cover how this foundation rolls out across industries including R&D and operations, SaaS, content, social, gaming, and customer service. Overall framework: three stages × three generations of office work · From conversation → to doing work → to taking a job: Q&A tools (the document cites ChatGPT / DeepSeek as examples) → office assistants embedded in workflows and calling tools (WorkBuddy) → digital employees that enter business systems, are accountable for results, and deliver against KPIs (Agent workbench + business system integration). · Three generations of office work: people operating software (Office) → people chasing and filling in forms within collaboration platforms → people setting goals, defining boundaries, and making judgments, while digital employees understand context, call tools, execute continuously, and deliver completed work. · "Super individual → super team": on the individual side, LightClaw / QClaw and others; on the enterprise side, WorkBuddy as the entry point, consolidating people, Skills, connectors, and the control plane into replicable execution capability. The document also distinguishes office work in the narrow sense (a personal productivity entry point) from office work in the broad sense (actually changing business state in CRM / ERP / MES). The handbook also provides detailed explanations and distinctions of the roles of WorkBuddy, CodeBuddy, ClawPro, ADP, SkillHub, and others within enterprises. Internal enterprise efficiency (Section 2 of the solutions book) · WorkBuddy: uses a "business brain" to assemble holistic judgments; for example, it operates real CRM/ERP/MES through Digiwin MCP, emphasizing that integration testing verifies changing state, not just being able to answer. There are many "before → after adoption" comparison pages for onboarding configuration, finance/sales/delivery dates, and more. On the security side, it claims to be among the first batch recognized by the Ministry of Industry and Information Technology, among the first batch for the CAICT cloud-based agent baseline, and "two-star+" for personal information protection impact assessment, among others. · CodeBuddy: from AI-assisted to AI-native; making specifications (SPEC) explicit; the requirements—coding—QA—delivery chain is underpinned by Agents, with human review and acceptance. · Game R&D / operations: planning and prototyping use WorkBuddy, R&D integration uses CodeBuddy; on the operations side, data Agents such as DataBuddy. The document claims planning cycles and demo cycles are significantly shortened (specific multiples are self-reported). · SRE / databases: WorkBuddy × CloudQ for fault localization; DatabaseClaw claims to have accumulated experience from hundreds of thousands of tickets, 1,600+ OpenAPIs, more than ten database types, and tiered handling. · Case names: Shenghe, Taomee (content efficiency near 80%, covering about 80% of employees), Youzu (47 models, Agent penetration over 75%, along with changes in overseas revenue/gross margin), Youka (MTTR 5–15 minutes, operations costs about -40%), Sohu Changyou (shortened P0 recovery, repetitive operations -70%, etc.), Huajiao, Zilong, Mabang, and others. Several chapters on business innovation · SaaS Agent: subscription → Credits → pay-per-result; interface operations move toward Skill/API. Names include MiningLamp, Entropy Simplify, Huisuanzhang, Futong JoinfClaw, BlueFocus, Six Degrees Renhe, Guangmo, Tiancai Shanglong, and others. · Content production: marketing images and videos, game art (Miora / Ardot, etc.); efficiency comparisons such as 2D sprite frames are self-reported in the document. Kuaizi, LiblibAI, Bifan, Wanxinbuzhi, Zixun, Xiaoying, Dongqiudi, and others. · Social companionship / in-game AI / customer service: TokenHub + audio/video and voice pipelines; NPC memory and tasks; customer service/quality inspection/outbound calling (Tianrun Rongtong, Qingxi Daijia, Zhichi, etc.). Latency and resolution rate figures are all as claimed in the document. · Ecosystem co-building: Buddy apps, experts, Skills, connectors, hardware; it claims to be a leader in desktop office agents, with tens of millions of installs, hundreds of thousands of ecosystem assets, and over a hundred partners (as self-reported in the document); PatSnap, Midu, MasterGo, and others appear on the partner pages. For the complete report, you can DM me to get it (not deliberately farming for engagement — it's because I couldn't find a free, publicly accessible PDF address; it's a paid download link, so DM me or leave a comment and I can send you the PDF).

View original

腾讯、腾讯云和 WorkBuddy 联合发布了一份 78 页的「2026 AI Agent 企业解决方案及落地实践手册」 整份材料用同一条产品叙事串起来：先用 WorkBuddy 把个人助手推成进业务系统的「数字员工」，再用 ClawPro、Agent Runtime、TokenHub 做开通、隔离、模型与治理；其余章节是这条底座在研发运维、SaaS、内容、社交、游戏、客服上的行业铺开。 总框架：三阶段 × 三代办公 · 能对话 → 能干活 → 能上岗：问答工具（文中举例 ChatGPT / DeepSeek）→ 嵌工作流、调工具的办公助手（WorkBuddy）→ 进入业务系统、对结果负责、按 KPI 交付的数字员工（Agent 工作台 + 业务系统集成）。 · 三代办公：人操作软件（Office）→ 人在协同平台里催办填报 → 人给目标、设边界、做判断，数字员工理解上下文、调工具、持续执行并交付完成的工作。 · 「超级个人 → 超级团队」：个人侧 LightClaw / QClaw 等，企业侧以 WorkBuddy 为入口，把人、Skill、连接器和管控面收成可复制的执行力。文中还区分狭义办公（个人生产力入口）与广义办公（真正改 CRM / ERP / MES 里的业务状态）。 手册中也对 WorkBuddy、CodeBuddy、ClawPro、ADP、SkillHub 等在企业中的定位做了详细解释和区分。 企业内部提效（方案册第 2 块） · WorkBuddy：用「业务大脑」拼全局判断；举例经鼎捷 MCP 操作真实 CRM/ERP/MES，强调联调验的是改状态而不只是能回答。上岗配置、财务/销售/交期等「以前 → 用了」对照页很多。安全侧自称工信部首批、信通院云端智能体基线首批、个保影响评估「二星级+」等。 · CodeBuddy：从 AI 辅助到 AI 原生；规约（SPEC）显性化；需求—编码—QA—交付链路由 Agent 打底、人审验收。 · 游戏研发 / 运营：策划与原型走 WorkBuddy，研发联调走 CodeBuddy；运营侧 DataBuddy 等数据 Agent。文称策划周期、Demo 周期明显缩短（具体倍数为自述）。 · SRE / 数据库：WorkBuddy × CloudQ 做故障定位；DatabaseClaw 称积累十万级工单经验、1600+ OpenAPI、十余款库、分级处置。 · 案例名：盛和、淘米（内容效率近 80%、覆盖约 80% 员工）、游族（47 模型、Agent 渗透率超 75%，并挂海外收入/毛利率变化）、游卡（MTTR 5–15 分钟、运维成本约 -40%）、搜狐畅游（P0 恢复缩短、重复运维 -70% 等）、花椒、紫龙、马帮等。 业务创新的几个章节 · SaaS Agent：订阅 → Credits → 按结果付费；界面操作走向 Skill/API。点名明略、熵简、慧算账、富通 JoinfClaw、蓝色光标、六度人和、光魔、天财商龙等。 · 内容生产：营销图视频、游戏美术（Miora / Ardot 等）；2D 序列帧等效率对比为文中自述。筷子、LiblibAI、必凡、玩心不止、紫讯、小影、懂球帝等。 · 社交陪伴 / 游戏内 AI / 客服：TokenHub + 音视频与语音链路；NPC 记忆与任务；客服/质检/外呼（天润融通、轻喜到家、智齿等）。延迟与解决率数字均为文中宣称。 · 生态共建：Buddy 应用、专家、Skill、连接器、硬件；自称桌面办公智能体头部、千万级安装、十万级生态资产、百余伙伴（文中自述）；智慧芽、蜜度、MasterGo 等出现在伙伴页。 完整报告，可以私信我获取（不是刻意引流哈，是因为没找到免费可公开访问的 PDF 地址，是一个付费下载地址，私信或留言我可以把 PDF 发给你）