How a Desktop AI Agent Turns My PC into a One‑Person Capability Hub

01 Agent from Chat Box to Executor

Every week the author must produce a competitive‑monitoring report: export sales data from an internal CRM (Excel), scrape competitor websites and industry forums, clean the data, generate charts, write conclusions, and assemble a team document. Each step requires opening multiple applications and manual copying, consuming a lot of time. Previous AI assistants could only suggest formulas or summarize text and could not access the file system, browser, or collaboration software, forcing the user to act as a “mover” of data between isolated chat windows.

The 商汤办公小浣熊桌面端 2.0 agent requests necessary permissions at installation and lives inside the PC. Pressing CTRL+K summons it from any application. When asked to open sales_week12.xlsx and analyze East‑China sales, it directly reads the file from the local workspace, performs the analysis, and returns a concise insight (“East‑China region down 5.2% due to product A stock‑out; recommend focusing on next‑week replenishment”) along with a generated chart, all without uploading or waiting.

02 The Agent Does the Work of Three People

First loop – Local file processing : The author feeds a quarterly sales workbook containing 12 sheets and asks the agent to identify the top‑3 SKUs by conversion rate for each region over the past four weeks, then generate an HTML dashboard. The agent reads the file locally, runs the analysis, and produces a ready‑to‑embed dashboard without any mouse clicks.

Second loop – One‑sentence browser control : After installing a Chromium‑based browser plugin, the author commands the agent to open several competitor product‑update pages, extract all new‑feature titles and one‑sentence descriptions, and compile them into a table. The agent plans the crawl, fetches the pages, parses the content, and returns the structured table.

Third loop – Global shortcut + enterprise collaboration : The completed data and tables are exported to a Feishu document by simply saying “export as Feishu doc titled ‘Competitor Weekly Report – Week 21’”. The agent creates a new Feishu document, fills in the content with clean formatting, and saves it without the user leaving the chat interface.

Fourth loop – Scheduled task automation : The conversation is converted into a scheduled task that repeats every Friday at 3 PM, automatically pulling the latest sales data, scraping competitor updates, generating the report, and publishing it to Feishu. The author only needs to review the results for five minutes.

03 Making Harness Concrete

The author explains that the earlier abstract notion of “Harness = everything outside the model” becomes concrete with this product: the AI model handles reasoning and generation, while the Harness (the agent) handles connection and execution—reading files, launching browsers, interacting with Feishu, remembering preferences, and running scheduled jobs.

04 Real‑Task Challenge Season

During the trial period, the company announced a 3 million RMB prize pool for a real‑task challenge season. It includes an OPC competition (with a 10 万元 top individual prize) and a 21‑day daily‑task challenge that rewards participants with nuts, draws, and hardware prizes such as a Mac mini or iPad Air. The contests emphasize solving actual work problems rather than showcasing flashy prompts or images.

05 Harness on the Desktop

The desktop version for macOS and Windows is fully released. Users can download it to replace repetitive office tasks, experiencing a computer that “understands human language” and acts like an indefatigable intern. The only downside noted is that the author sometimes feels redundant at work.