After running 500+ tasks on AI agents, here are the automation tips that actually make a difference.
1. Write Prompts Like Specifications
Bad: "Make me a website"
Good: "Create a React landing page with hero section, 3 feature cards, and a CTA button. Use Tailwind CSS, dark theme."
2. Use Task Templates
Create reusable prompt templates for recurring tasks. Save 5-10 minutes per task.
3. Batch Similar Tasks
Group related tasks together. The agent maintains context better.
4. Optimize Model Selection
Not every task needs the most powerful model. Routine tasks work fine on Standard mode.
Pro tip: The Credit Optimizer does this automatically (code DEVTO25 for 25% off).
5. Chain Tasks with Context
Reference previous task outputs in new tasks. Builds on existing work.
6. Use Skills/Plugins
Pre-built skills save massive time:
- Credit Optimizer (saves 30-75% on costs)
- Fast Navigation (speeds up web tasks)
- Data Intelligence (for research)
7. Set Clear Success Criteria
Tell the agent exactly what "done" looks like. Reduces iterations.
8. Leverage File Outputs
Ask for deliverables as files (MD, PDF, XLSX) not just text responses.
9. Schedule Recurring Tasks
Automate repetitive work with scheduled executions.
10. Monitor and Iterate
Track which prompts work best. Refine over time.
Results After Applying These Tips
| Metric | Before | After |
|---|---|---|
| Tasks/month | 30 | 80+ |
| Cost/task | $1.20 | $0.50 |
| Success rate | 70% | 92% |
| Time saved | 10h/wk | 25h/wk |
Which tip will you try first? Comment below!
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