Chapter 5: Elimination, Automation, and Practical Use of AI

Two Indians discuss optimizing tasks using AI at a café, with workflow charts on a tablet and notes around them.
3 min read

Part 6 of 14 in How to Thrive by Hustling: Money, Meaning, and Momentum for Indians in the AI Age

This chapter discusses the importance of eliminating unnecessary tasks before automating them, using AI tools effectively. It is aimed at helping Indians optimize their side projects and work processes in the AI age.

Quick Summary

  • Elimination should precede automation, focusing on tasks that add little value.
  • AI can handle tasks like summarizing, drafting, and outlining, freeing up human time.
  • Humans must still ensure accuracy, tone, and make final decisions.
  • Effective AI use involves protecting time for tasks requiring human judgment.
  • Example prompts help identify high-return actions and streamline communication.

The sequence inside DEAL places Elimination before Automation. The 80/20 observation—that a minority of activities usually generates the majority of results—combined with Parkinson’s Law—that work expands to fill available time—argues for deliberate constraints. An audit of a normal week typically reveals meetings, message threads, and habits that contribute little. These become candidates for reduction or batching. Inside a side project the same logic applies: any task that does not move a potential customer toward a decision or supply clear feedback can usually wait or disappear. Early tests in India often require nothing more elaborate than a clear message and a UPI option.

Contemporary AI systems now cover much of the territory once assigned to virtual assistants. They can summarise competitor approaches, draft interview questions, produce first versions of posts and scripts in English or regional languages, create reply templates for common customer messages, outline standard procedures, and explain topics such as basic pricing or compliance considerations. The person retains responsibility for accuracy, tone, final judgment, direct conversation with customers, and the choice of which experiment to run. A standing prompt that has proved useful asks the model, given stated skills and constraints, for the single highest-return action in the coming week together with the exact draft text required to execute it.

The risk is using the tools to perform low-value work more quickly. The correct use is to protect hours for the activities that still require human presence and discernment.

Example Prompt Patterns

  • Given my background and [X] hours per week, list the three customer segments most likely to pay for relief from [problem] within sixty days.
  • Draft a 70-word WhatsApp message introducing a pilot offer. Audience: [description]. End with one easy question.
  • Produce a one-page delivery checklist for [service] including time per step and three frequent questions with short answers.
  • Summarise the last ten customer comments I paste below and recommend one change to the offer.

Frequently asked questions

What is the DEAL sequence mentioned in the chapter?

The DEAL sequence places Elimination before Automation, emphasizing the removal of unnecessary tasks before automating processes.

How can AI assist in side projects?

AI can summarize competitor approaches, draft communications, and create templates, allowing more focus on tasks needing human input.

What are example prompt patterns for using AI effectively?

Prompts include identifying customer segments, drafting messages, creating delivery checklists, and summarizing customer feedback.

Why is it important to eliminate tasks before automating them?

Eliminating tasks ensures focus on high-value activities, preventing the automation of low-value work that doesn't contribute to meaningful results.