AI Office Work
No coding required: handle documents, tables and daily office tasks with the harness
You don't need programming skills to put DeepSeek Harness to work. Use your working folder as the workspace and describe tasks in natural language.
Typical scenarios
| Scenario | Example prompt |
|---|---|
| Document summary | "Read all documents under docs/ and produce a 500-word summary" |
| Writing & polish | "Rewrite draft.md in a more formal tone and fix typos" |
| Data wrangling | "Read data.csv, count records per category and produce a summary table" |
| Batch rename | "Rename all images in images/ by their capture date" |
| Information retrieval | "Find every document in this project that mentions 'refund' and list the locations" |
Practical tips
1. Workspace = your materials folder
Put the files to process into one folder and select it as the workspace in the Web UI. The agent reads and writes only within that scope, keeping boundaries clear.
2. Describe tasks with a "definition of done"
Compare
❌ "Help me organize my materials"
✅ "Merge the 20 meeting notes under notes/ into one weekly report, grouped by topic, max 100 words per section, output to weekly-report.md"
3. Deliver in steps and check often
- Let the agent lay out a plan first, then execute;
- Check the output files after each step;
- If unsatisfied, ask it to continue from the existing files instead of starting over.
4. Approvals are your safety net
Writing files and running commands both need your approval. Office files are often important — confirm item by item, especially deletions and overwrites.
Going further
- Turn recurring office workflows into goals the agent completes across rounds automatically;
- Use subagents & workflows to process many files in parallel;
- For programmatic access, see the Python SDK.
Check the FAQ if you run into problems.