Recently, as AI becomes more popular, many people are thinking about how to work with it effectively. AI is no longer just a tool but a partner in the work process. However, collaborating with AI can often feel more challenging than expected. This is usually because people don’t yet know how to use AI’s “intellectual energy” effectively. In this article, we’ll explore ways to achieve high performance when collaborating with AI. These methods are simple but can lead to surprising results.
1. How to Optimize AI’s Energy
AI needs to produce the best possible results with limited resources, like a person who has to survive on just 100 calories a day. Therefore, it’s important to distribute tasks to AI in a way that it can handle.
- Break tasks into smaller units: Instead of asking AI to handle multiple complex tasks at once, break them down into smaller commands. For example, instead of writing a long report all at once, start with ‘writing the introduction.’
- Provide clear instructions: AI follows instructions precisely, but it struggles with vague directives. Give clear guidelines and explain exactly what outcome you want.
2. Utilizing Chain of Thought
To get the right answers from AI, it’s important to create a ‘thought process’ for it. This is known as the Chain of Thought method. You ask AI a question, then follow up with more questions based on its answers, allowing AI to gradually arrive at a better response.
For example, if you ask, ‘How can AI provide a perfect answer?’ and then ask follow-up questions, you can obtain a deeper and more accurate response. AI utilizes its capabilities to the fullest through step-by-step answers.
3. Using JSON Format for Structured Instructions
A more advanced method involves using the JSON format to instruct AI. The JSON format provides a clear structure, helping AI to perform tasks more systematically.
{
"Introduction": {
"Recent_Research_Results": "Fill this in.",
"Experiment_Methods": "Fill this in too.",
"Desired_Outcome": "Fill this in as well."
}
}Using such a format, AI will accurately fill in the required information within the given structure. This is particularly helpful for complex tasks.
4. Clarify the Intent of Questions
AI spends considerable energy trying to understand the intent behind questions. Therefore, it’s important to convey your intent clearly when asking questions. For instance, instead of emotional or vague questions, clear and specific questions are more effective for AI.
5. Provide Repetitive Feedback
Conversations with AI shouldn’t be one-sided. Providing feedback on AI’s responses, making corrections, or asking follow-up questions helps improve its answers progressively. Like communicating with a team member, ongoing dialogue with AI can lead to better outcomes.
6. Learn Basic IT Grammar
If you’re new to collaborating with AI, learning basic IT grammar can be very helpful. Familiarizing yourself with JSON format or simple programming concepts can make interactions with AI much smoother. This is achievable even without being an IT expert, so there’s no need to feel burdened by acquiring new skills.
Conclusion: Collaborating with AI Opens Doors to New Possibilities
Working with AI is like welcoming a new team member. It’s important to help that team member reach their full potential. Try implementing the methods introduced in this article. Collaborating with AI will no longer be difficult, but rather a new opportunity for achieving remarkable results.