How to do goal-driven prompting

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Designing the Mind This is likely not what you might expect as the first suggestion. I think understanding how your mind works is a key component to understanding how AI works. It also helps to understand how you can use prompts to get the most from AI. Some of what will be found in Designing the Mind can be found elsewhere but how almost all aspects of how we think and how we can resist our tendencies and retrain our brains I think is invaluable.

The link is supplied for your convenience should you wish to look at the title. You can find this at your local library I am sure, or a local bookseller may have it as well.

Goal-Driven Prompting

Goal-driven prompting is a useful technique for focusing a conversation with a chatbot on a specific task or objective. By providing the chatbot with a clear goal, intent marker, or objective, users can guide the conversation and improve the chatbot's ability to provide relevant and helpful responses.

Goal-driven prompting is an approach in AI systems that aims to make prompts and suggestions focused on helping users achieve specific goals. Here are some key things to know:

What are the Goals of AI Systems?

- Goals refer to desired outcomes, objectives, or targets that an AI assistant can be designed around. Examples could include health goals, productivity goals, learning goals, etc.

Why Goal-Driven Prompting?

- Having an understanding of the user's goals allows an AI system to provide more targeted, relevant prompting to help make progress on those goals.

- For example, if the goal is to exercise more, the system can prompt things like suggesting workout routines, asking about progress, giving encouragement, and finding ways to overcome barriers.

How it Works

- Goal-driven AI systems allow users to explicitly state their goals or infer them based on user data and preferences.

- With the goals defined, the system can then act as an active assistant focused on related sub-tasks - like providing personalized content recommendations, nudges in key moments, answering queries, or tracking progress towards the outcomes.

How this helps

- Increased relevance due to understanding user goals and contexts on an individual basis.

- Active assistance in making progress instead of passive responses. Can help encourage follow-through.

- Enables personalization and customization of interactions towards what matters most for each user.

Goal-driven prompting aims to make AI more purposeful, helpful, and aligned with user objectives. Defining and focusing on goals allows for more meaningful and productive interactions.

How goal-driven prompting works in practice

The user sets a goal to "lose 10 pounds" in the AI assistant app.

The assistant then activates relevant goal-driven prompts:

"Since your goal is to lose 10 pounds, I can suggest some healthy recipes that others found useful for similar goals. Would you like some recipe ideas?"

"I see you selected a goal to lose 10 pounds. If helpful, I can provide gentle reminders to exercise and give you little tips to stay motivated. Would reminders be helpful?"

"You're halfway to your 10-pound goal - nice work! To give an extra push, what if I sent you a quick prompt each Tuesday and Thursday afternoon asking how your workouts and nutrition is going relative to your goal? Would some interim accountability check-ins be welcomed or not?"

"I notice you have slipped off the pace the last 4 days in tracking calories and exercise relative to hitting your target weight loss goal. Remember that lapses happen and you can get right back on track. Can I assist with anything like meal planning, workout tips, etc to help close the gap?"

As you can see, the assistant is focused on contextual prompts tied to the user's specific stated health/fitness goal. This allows it to give personalized and timely suggestions, feedback, tips, and accountability measures - with the singular focus at all times of helping the user achieve their weight loss goal. The prompting is centered on moving that individual metric.