Brief & materials
Audience · goals · requirements
- Uploaded files
- Public sources · authorised MCP
A local report workbench for industry research, strategy and IR. Research a question, draft with sources, preserve revisions and export to Word.
Other platforms & installation notes

An August 2026 Tencent executive reading scenario, based on five public sources. Preserved report text, generation record and review limits. Not an official Tencent report.
Read the saved report
SAVED REPORT · CHINESE EXCERPT
腾讯2026年8月经营观察月报
AI投入已进入规模化阶段,现金流纪律成为首要约束。2Q2026资本开支528亿元、同比增加176%,同期资本开支付款593亿元,使自由现金流转负为138亿元;若剔除算力采购预付款项,自由现金流为376亿元。投入与当期回款之间的时间差正在放大,月度资源安排应同时盯住付款节奏与预付款规模。[1] [2]
最近披露的经营基线(节选) 指标(未经审核) 2Q2026 1H2026 收入 2,048 4,012 资本开支 528 847 经营活动现金净额 527 1,541 自由现金流(含预付款口径) −138 — 自由现金流(剔除算力采购预付款) 376 —
金额为人民币亿元(百万元÷100)。这是季度与半年度数据,不代表2026年8月单月表现。
Keep a local workspace, inspect evidence for important claims, and evaluate a specific draft. Cloud models and search services still receive relevant content.
Workspaces and records are stored locally. Cloud models and search services receive relevant content when used. Disabling search does not stop model data transfers.
Important claims are pinned to a line of source text, a PDF page, an Excel cell or an image — never a bare “as far as I know”.
Evaluation and review apply to specific draft versions. A low score does not hide the working draft. Reviewer isolation depends on the runtime and release.
Bring your materials. Get an editable report with evidence you can follow.
A question and its materials.
Evidence into a first draft.
Check quality and sources.
Keep revisions. Export Word.
When useful, turn feedback into experience for the next report.
Delivery is not “the model says it is finished” — it means pinning each claim back to the line of source text, the PDF page or the cell it came from.

From chat to final delivery inside one workbench; the activity of public tools and sub-agents stays visible throughout.
Upload original files, search public information and use explicitly authorized connector materials.
Keep text, tables and citations in an editable draft. Save revisions and export to Word, PDF, HTML or Excel.
Inspect review findings and source scope. Turn feedback into candidate experience and check adoption or rollback.

Search quota is shared by Scout across the whole report; the word target and the cap are yours to edit.
Set limits for the current report in the app. Controlled retrieval and runtime-native search have different metering boundaries.
Read the cost guideSet the target length and cap for the task. Preserve necessary evidence and state gaps rather than filling the report to a quota.
Actual generation needs an authenticated runtime and an available model. Model and search providers charge for their services; BriefLoop does not include their credits.
Read the guideWorkspaces and records are local. Cloud-model requests may include relevant sources, drafts and feedback. Search and connectors also send requests to their configured services.
Read the guideA score is one signal for a specific version. Inspect evidence, scope and unresolved findings. A downloadable working draft is not automatically a formally verified deliverable.
Read the guideApple silicon Mac and Windows x64 installers are available. Use a compatible Python 3.11+ installation and an authenticated model runtime.
Initial dependency preparation requires a network connection. Model and search usage is billed by your chosen providers. Workspaces are local, but relevant content is sent to cloud services when used.
Choose the installer for your computer and follow the guides to create an editable report.
Read how BriefLoop preserves research, revisions and evidence. This report covers the released 0.21.0, including fact checking, scheduled reports and feedback learning, with an evidence index, architecture diagram and recorded verification scope.
Read the report (Chinese) ↗