Tencent's 78-Page AI Agent Handbook: The Thickest Part Isn't the Model

Tencent, Tencent Cloud, and WorkBuddy jointly released a 78-page handbook, full title “2026 AI Agent Enterprise Solutions and Implementation Practices Handbook.” The official viewing link is here.

A netizen, Albusxing, made a cloud drive backup: link, extraction code x7ww. If downloading is inconvenient, you can save this copy first.

The body of the handbook is split into four sections.

The first is called broad office work. Systems in an enterprise each keep their own accounts, so they can only answer local questions. What the business brain needs to do is connect scattered facts into a panoramic view, then push management judgments all the way through to results.

The second explains how to configure a role’s way of working into a digital employee. Goals, context, knowledge, tools, operations, and permissions are configured into an auditable role system, described in natural language. The point is not whether it can chat, but whether this configuration can be inspected, changed, and handed over.

The third is about connections. Once a digital employee is connected into business systems, its actions become complete: understand the task, call the system, change business state, and leave an audit trail. The execution loop must be verifiable; what was changed and who changed it must be traceable.

The fourth is about assets. Enterprise AI assets are not stored materials; they are productivity that can be called on repeatedly. Every real task deposits knowledge, rules, processes, Skills, and result feedback, which are reused directly next time and keep moving forward as they are used.

All four sections come with cases, operating steps, and chart data. 78 pages, not fluff.

After reading it, I have a judgment. Materials on the market that discuss Agents spend a lot of time on model capabilities and demos, wishing every demo looked like magic. In this handbook, the model is almost not the protagonist; what takes up space is permissions, auditing, audit trails, and system calls. The truly difficult part in an enterprise is probably not making AI able to talk, but making it change business state without causing trouble.

Netizen reactions are quite telling. Someone's first sentence was “78 pages—I'll need to ask for leave before I can finish reading it.” Others were serious: Crio Songo said they planned to go through their existing business and map out Agent processes, focusing on the case section. This latter attitude is closer to how the handbook should actually be used: as training material, as a process checklist, not as a feel-good read.

78 pages, you can flip through it in an afternoon. If you really want to change processes according to it, the time should be counted in quarters.