WorkBuddy Automation 101: Auto Daily Reports at 9AM, Weekly Data Every Monday

WorkBuddy Automation 101: Auto-Generate Daily Reports at 9AM, Pull Weekly Data Every Monday — Zero Coding Required

A friend in sales told me something the other day. His company requires a daily report submitted by 9:30 AM — summarizing yesterday's client visits, lead status, and deal progress. He gets home around 8 PM, then spends another half hour compiling the report. Not hard, just tedious. Really tedious.

I had him try WorkBuddy's automation feature, deployed on a Kaihe AIBOX local AI agent computer. Once configured, WorkBuddy automatically extracts his client conversations from DingTalk group chats every morning at 9 AM, formats them into a structured report, and saves it to a shared folder. He walks into the office, opens his laptop, and the report is already waiting.

He now sleeps an extra 30 minutes every morning.

I haven't covered this feature in depth before, but honestly it's one of WorkBuddy's highest-value daily capabilities. No coding. No configuration panels. Just one sentence, and it's done. Let's break it down.

What Is an Automation Task, Really?

WorkBuddy's automation is, plain and simple, a mechanism that "does work for you on schedule." You write the instructions, set the timing, and it runs on its own when the time comes.

The biggest difference from regular chat: you don't need to be online. You set "execute every morning at 9 AM," and even if you're still asleep with your phone off, WorkBuddy does the job on the machine it's running on. You're the person who sets the rules, not the person who triggers it manually every time.

It supports two scheduling modes. Recurring tasks — every day at 9 AM, every Monday, every 1st of the month. And one-shot tasks — "remind me to submit the expense report tomorrow at 3 PM." Recurring tasks run forever once set; one-shot tasks auto-delete after execution.

Tutorial 1: Auto-Generate Your Daily Report at 9 AM Every Morning

Let's dissect that sales daily report scenario.

First, you need a data source. Where does the report data come from? DingTalk chat logs, an Excel sales ledger, a CRM follow-up log? WorkBuddy needs to know where to look.

Open WorkBuddy and tell it in natural language:

📖 Glossary

AI Box (also known as Agent Computer / Agent PC), is a dedicated local hardware device that runs AI Agents. Pre-installed with an AI agent management system, plug-and-play, running 24/7. Users can remotely command AI to work via Discord, Slack, Telegram, WhatsApp, and more.

Create an automation task. Every morning at 9 AM, extract yesterday's messages from my DingTalk work group — focusing on client-related conversations — and generate a daily report in the format "Client Visited – Discussion Summary – Next Step." Save it to the "Daily Reports" folder on the desktop. Use today's date as the filename.

WorkBuddy automatically parses your intent — it knows "every morning at 9 AM" is the trigger, "DingTalk work group" is the data source, "extract yesterday's conversations" is the task, and "save daily report to desktop" is the output. Zero syntax. Zero scheduler knowledge. Zero flowcharts. You speak human; it translates to task.

To refine further, you can add constraints to the instruction:

Keep each client entry under 100 words. Focus on what the client said and what we promised. If there were no new client conversations yesterday, the report should just say "No new client interactions yesterday."

Confirm, and the task is live. Next morning at 9 AM, WorkBuddy opens your desktop folder, and the report is already inside. Glance over it, send it out. Done.

Once this clicks, you'll realize daily reports are just the starting point. Same logic applies to morning briefing reports, customer service logs, warehouse summaries, IT ops reports — any "fixed-format summary due at a fixed time every day" can all be automated. It's the same pattern as the 6 WorkBuddy Skills we covered last time: standardize the repetitive work, then hand it off to AI.

Tutorial 2: Pull Data and Generate Weekly Reports Every Monday

Weekly reports add one extra step beyond daily ones: daily reports are "extract and summarize," weekly reports are "summarize and analyze." You've been tracking a week of sales data in Excel or Tencent Docs, and on Monday you need to pull it out — calculate MoM growth, channel breakdown, Top 5 clients — then write the narrative summary.

The old way: open Excel, copy-paste, write formulas, make charts, write commentary. At least half an hour, plus the occasional Excel freeze.

With WorkBuddy automation, the instruction looks like this:

Create an automation task that runs every Monday at 9 AM. Open "Sales Tracker.xlsx" on the desktop, read all rows from last week (Monday through Sunday), and automatically calculate: total weekly sales, week-over-week growth rate, channel share breakdown, Top 5 client contribution. Then write a weekly summary under 300 words in this format: "Total sales this week: XX RMB, up XX% WoW. By channel, XX accounted for the highest share at XX%. Top clients: XX contributed XX% of total sales. Areas to watch: …" Save both the full data table and the text summary to the "Weekly Reports" folder on the desktop.

After setting this up, every Monday when you arrive, the weekly report is already done. You just need to sanity-check the numbers — AI analyzes based on the rules you gave it; it won't fabricate data, but it might miss context you assume it knows but didn't tell it about. That check is non-negotiable, but checking vs. writing from scratch is a 10% vs. 100% time difference.

Don't Forget Conditional Triggers — A Smarter Kind of Automation

Timed tasks solve the "do it on schedule" problem. But there's another real-world pattern: "do it when something happens," not "do it at a fixed time." WorkBuddy automation supports these conditional triggers too.

Example: you manage daily report aggregation for an e-commerce operations team. You set up an automation: whenever a new file appears in the shared folder (each team member's individual report), WorkBuddy grabs its content, merges everything into a team-wide report, and pushes it to the group chat.

This scenario doesn't need a fixed time — it processes reports as they arrive. More flexible than the rigid clock-based approach.

Common conditional trigger scenarios: - New file in folder → auto-classify and archive - Email with specific keywords arrives → auto-generate reply draft - Database metric crosses threshold → auto-generate alert report

Combine these with timed tasks, and your daily rhythm becomes: WorkBuddy runs twelve things in the background; you review results, make decisions, handle exceptions. Everything else, don't worry about it.

"What If I Shut Down My Computer?" — The Question Everyone Asks

At this point, someone always asks: I shut down my computer after work. What happens to the automations?

The blunt answer: if the computer is off, the tasks don't run.

WorkBuddy isn't a cloud service. It runs on your machine. Power off = tasks stop. Power on = tasks resume. In other words, "auto-generate daily report at 9 AM" requires your computer to be on at 9 AM.

Most people's work laptops get shut down at night and powered on when they arrive at the office — and that creates a catch-22. The report should already be waiting when you walk in, not start generating the moment you boot up.

This is where Kaihe AIBOX comes in.

Kaihe AIBOX isn't a regular computer. It's a standalone local AI agent computer — power consumption comparable to an LED light bulb — that sits on your desk or next to your router, running 24/7. Deploy WorkBuddy on Kaihe AIBOX, and suddenly every automation truly runs "wherever you are, whether your laptop is on or off."

Quick mental comparison: set your automations on your work laptop, close the lid at night, nothing happens, Monday morning meeting starts and your weekly report hasn't been generated. Set them on the Kaihe AIBOX at home, you're traveling in a hotel, laptop's buried in your bag turned off, 9 AM daily report still generates on time in the AIBOX's desktop folder — one WeChat message from your phone retrieves it remotely.

The data dimension matters even more. Daily reports, weekly reports, client data — all internal business information. On Kaihe AIBOX, every processing step happens locally: data cleaning, analysis, report generation. Nothing leaves your home. It's not uploaded to some cloud server, processed, then downloaded back. Your hardware. Your network. Your data. This is also why an AI box needs to be separate from your daily-use computer — physical isolation means no other software on your work machine can accidentally scan these files.

In short: WorkBuddy's automation is a "stop doing things manually" workflow engine. Kaihe AIBOX gives that engine a power source that never shuts off and a vault that never leaks data. Together they're the complete unattended AI office solution. Browse the online store to compare models and find the right 24/7 AI workstation for your setup.

Three Automation Scenarios to Try Today

Scenario 1: Daily Industry News Brief

Data source: RSS feeds or web scraping. Every morning at 8 AM, scan the homepage articles of a few industry sites you follow, extract titles and summaries, categorize by policy/market/tech, generate a Markdown briefing. That daily 30-minute "browse and copy-paste" routine — gone.

Sample instruction: "Every morning at 8 AM, open the 36Kr and Huxiu homepages, extract titles and summaries of the top 10 articles, categorize by AI, consumer, overseas expansion, and save as a Markdown file."

Scenario 2: Client Contract Expiry Alerts

Data source: Excel client ledger. Every morning at 9 AM, read the contract expiry dates from your ledger, filter for expirations within 30 days, generate an alert list split into "expiring this week" and "expiring this month," and push it to your WeChat.

How does the WeChat push work? WorkBuddy supports binding to WeCom or personal WeChat — it sends you a notification when an automation finishes. This "contract expiry within 30 days" alert lands on your phone every morning at 9 AM without ever opening your computer.

Scenario 3: Competitor Price Monitoring

Data source: competitor websites or e-commerce platforms. Set automation to scrape key product pricing pages every 4 hours, compare current vs. previous scrape, generate a "price change alert" when differences are detected.

Adjust frequency as needed: hourly during major shopping festivals, once daily in normal periods. High-frequency repetitive scraping is humanly unsustainable, but for automation, it's just "running in the background."

Pitfalls to Avoid

First, watch the first execution closely. Don't set it and forget it — if a path is wrong, a data source is missing, or the output format isn't what you want, you'll only catch it by personally verifying the first run. Confirm it works, then let it go.

Second, every timed task should leave a log. Add "append execution result (success/failure + duration) to a log file" to your instruction. Future you, debugging at midnight, will thank present you.

Third, don't schedule tasks too densely. Multiple triggers within the same hour — either merge them into one multi-step task or spread them out. When tasks run too close together and something breaks, you won't know which one failed.

Fourth, tasks involving email or messaging — test before going live. Automation sending the wrong thing to your boss is the kind of mistake you only make once.

WorkBuddy's automation, at its core, transforms "things you wouldn't do consistently" into "things that happen consistently because you set them up." You probably wouldn't manually check competitor pricing every day, but with automation, it does. You might forget to organize files every Friday, but automation remembers.

This is the real shape of AI productivity — not doing the same thing faster, but not having to think about doing it at all.

Learn more: search [Kaihe AIBOX] | Email: [email protected]

-------- Kaihe AIBOX · Your 24/7 Private AI Assistant | User Stories ---------

WorkBuddy Automation 101: Auto Daily Reports at 9AM, Weekly Data Every Monday — Zero Code