Top AI Prompts for Building Chatbots

Identify 5 distinct chatbot personas tailored for e-commerce customer service, drawing from the ‘Support Bot Profiles’ document.

ClickUp Brain Behavior: Analyzes personality traits and communication styles outlined in the linked doc to propose fitting chatbot character options.

Highlight trending dialogue structures in healthcare bots serving patients under 40, based on internal research files.

ClickUp Brain Behavior: Integrates findings from proprietary studies; Brain Max can supplement with relevant external data if accessible.

Generate a welcoming onboarding dialogue for a chatbot using notes from ‘User Engagement Scripts’ and previous campaign feedback.

ClickUp Brain Behavior: Extracts key phrases and tone guidelines from linked documents to create a polished onboarding sequence.

Summarize the differences in fallback responses and recovery tactics from the ‘Error Management Q3’ report.

ClickUp Brain Behavior: Pulls data from tables and narratives in internal docs to deliver a clear comparative overview.

Identify frequently utilized natural language processing tools from R&D notes and project documentation.

ClickUp Brain Behavior: Scans internal sources to compile a list of popular libraries along with performance insights.

Develop a detailed checklist for validating intent classification based on the ‘Intent Validation’ document.

ClickUp Brain Behavior: Extracts criteria and organizes them into a structured task list or document format.

Highlight recent advancements in voice interaction design from post-2023 user studies and technology reviews.

ClickUp Brain Behavior: Identifies recurring themes and innovative features from linked research materials.

Summarize key findings from the ‘Gen Z Chatbot Survey Q1’ regarding conversational tone and feature expectations.

ClickUp Brain Behavior: Analyzes survey data to extract common design preferences and user feedback patterns.

Write concise, friendly prompts for wellness chatbot interactions using style guidelines from ‘BrandVoice.pdf’.

ClickUp Brain Behavior: References tone and style documents to suggest varied prompt options fitting the brand voice.

Outline key regulatory updates from 2024 impacting chatbot user data privacy and consent protocols.

ClickUp Brain Behavior: Reviews compliance documents and summarizes implications for chatbot design and operation.

Extract positioning and sizing standards from mobile UX guidelines specific to chatbot interfaces.

ClickUp Brain Behavior: Compiles measurements and layout rules into a practical checklist for developers.

Create a comprehensive checklist for assessing chatbot response times and accuracy using internal benchmarks.

ClickUp Brain Behavior: Derives evaluation criteria from performance reports and structures them by test categories.

Summarize features and effectiveness of sentiment analysis solutions from competitive intelligence reports.

ClickUp Brain Behavior: Presents a concise comparison in table or summary format based on documented research.

Synthesize emerging interface and interaction patterns from recent internal studies and industry reports.

ClickUp Brain Behavior: Aggregates trend data from concept notes and uploaded analyses to highlight key developments.

Extract and prioritize common issues and suggestions from survey data and support tickets related to chatbot interactions.

ClickUp Brain Behavior: Analyzes feedback documents to identify major pain points and improvement opportunities.