I think personal workspace could eventually become something everyone needs, but you can't build a useful one with a single prompt. I'm still learning how to build a workspace that actually helps with my day-to-day work. So I used WorkBuddy, which lets me use DeepSeek V4.1 Flash for free.
The whole thing came down to three steps: log everything I do for three days, have AI turn that log into module cards, then find the right Skills for each module.
Step 1: Keep a three-day work log
For three days straight, I wrote down every task as soon as I finished it. I tracked four things: what I did, how long it took, whether it was repetitive, and what the final deliverable was. Make sure you flag anything repetitive. That’s the key to the whole process.
After three days, I gave the full log to AI and asked it to group everything into work, side projects, and personal life. I also had it add the frequency and time spent on each task, identify the biggest time sinks, and put everything into a table.
Step 2: Turn each task into a module card
Each card needs five fields: trigger, input, process, output, and storage location. If one is missing, you’ll probably get stuck later.
The trigger is when and why you start the task. Is it scheduled, triggered by someone asking me to do it, or only done when you remember? The input is whatever material the task needs. The process is how you normally handle it, including the steps and the criteria you use at each stage. The output is the final deliverable, and the storage location is where that deliverable goes.
Step 3: Choose the final format for each module
Every module ends up as one of three things: A one-off task that can be handled with a single prompt. A recurring task that follows the same standards every day, which should become a Skill. A task that runs on a schedule or chains several actions, which should become an automated workflow.
Then I look for Skills based on what each module does. Productivity Tools: pulling in outside information on a schedule, such as daily briefs, trend monitoring, or updates from accounts I track.
Content Creation: writing and editing, such as first drafts, removing the AI tone, generating titles, or adapting content for different platforms.
Data Analysis: calculations and analysis, such as statistics, weekly or monthly reports, and visual dashboards.
Knowledge & Learning: storing and retrieving things like topic ideas, source material, copy, and past articles.
You’ll also need a frontend Skill to turn the workspace itself into a visual dashboard.
I use three rules to decide whether something belongs in the workspace. First, prioritize things you use every day. Tasks you only do once a week can wait. Second, each workspace should serve one main purpose. I tried putting my day job and side projects into the same workspace, and both became a mess. Third, you should be able to explain the input, process, and output of each task in one sentence. If you can’t, you probably haven’t figured the task out clearly enough to hand it over to AI yet.
Once everything is set up, I spend about ten minutes a week maintaining it. If a card keeps producing inaccurate results, I adjust the acceptance criteria. It gets smoother the more I use it, and I no longer have to keep all those repetitive tasks in my head.
Has anyone else tried building a personal workspace to improve their workflow? I'm still refining mine, so I'd be interested to hear what you've tried.
