AI at Work
Practical ways to integrate AI into your professional life without losing the human touch.
Overview
AI is transforming knowledge work, but not in the ways most headlines suggest. The real gains come not from replacing human work, but from eliminating friction—those small, repetitive tasks that fragment your attention and eat into deep work time.
This section covers practical applications across different professional contexts. Whether you're writing reports, preparing for meetings, conducting research, or managing your workflow, you'll find actionable guides and tested approaches.
Key Use Cases
Writing & Communication
Draft emails, reports, proposals, and documentation faster while maintaining your voice.
Research & Analysis
Synthesize information, analyze data, and extract insights from complex documents.
Meetings & Collaboration
Prepare agendas, capture notes, generate summaries, and track action items.
Productivity Systems
Build workflows that automate repetitive tasks and help you focus on what matters.
Career & Job Search
Resume optimization, interview prep, skill development, and professional networking.
Getting Started
If you're new to using AI at work, start with something low-stakes where you can easily verify quality:
- Meeting summaries — Paste transcript, get structured notes
- Email drafts — Describe intent, edit the output
- Document Q&A — Upload a PDF, ask questions about it
Once you're comfortable with the basics, explore more integrated workflows like automated research pipelines or AI-assisted project planning.
Common Pitfalls
- Over-automation — Some tasks benefit from human friction and reflection
- Quality blindness — AI output often looks polished but may be subtly wrong
- Context collapse — The AI doesn't know what it doesn't know about your situation
- Confidentiality — Be careful what data you share with AI services
Last updated on Dec 18, 2025