10 hours isn't an exaggeration. The average knowledge worker spends 2+ hours daily on tasks that are fundamentally repetitive: researching, summarising, writing, organising. Agents can take most of that back.
Step 1: Audit Your Week (20 minutes)
Before you automate anything, track what you actually do. For one week, keep a rough log of tasks that feel like "I shouldn't have to do this manually." Common culprits:
- →Reading and summarising long articles, reports, or emails
- →Writing the same types of messages over and over (follow-ups, intros, updates)
- →Researching companies, people, or topics before meetings
- →Pulling data from multiple places and formatting it into a report
- →Answering the same questions repeatedly from customers or colleagues
Step 2: Match Tasks to Agents
Current time
3 hrs/wk
Task
Pre-meeting research
Agent
Saves ~2.5 hrs
Current time
2 hrs/wk
Task
Email follow-ups & outreach
Agent
Saves ~1.5 hrs
Current time
2 hrs/wk
Task
Summarising articles & docs
Agent
Saves ~1.8 hrs
Current time
1.5 hrs/wk
Task
Social media content
Agent
Saves ~1.2 hrs
Current time
1.5 hrs/wk
Task
Data formatting & reporting
Agent
Saves ~1.3 hrs
Total: ~8.3 hours saved per week
That's 33 hours per month — nearly a full work week every month.
Step 3: Start With One Agent, Not Five
The biggest mistake people make is trying to automate everything at once. Pick the task that costs you the most time and start there. Get comfortable with how that agent works, iterate on your inputs, and only then add more.
Our recommendation for first-timers: Start with a research or summarisation agent. They have the highest time-to-value ratio and the lowest risk of errors in consequential outputs.
Step 4: Build a Simple Workflow
Once you have one agent running reliably, create a simple workflow around it. Example: