💬 “I’ve been here a long time. It’s a great place to work.”
💬 “We have good people. That’s not the problem.”
💬 “We’re old school.”
💬 “We rely too much on memory.”
💬 “Other companies probably have better tools.”
















Context: What's the bigger picture? (What are you working on?)
Task/Instructions: What do you want the AI to actually do? (What's the specific output?)
Desired Result: What would it look like when its done? (Any specific tone, format, or facts to include?
“Create a compelling property flyer blurb using the details below. Use professional, upbeat language suitable for a commercial listing. Keep it under 100 words. Highlight the location, size, and any unique amenities.Property Name/Address: 1234 Canal StreetType: Office/RetailSize: 2,500 SFHighlights: Exposed brick, move-in ready, on-site parking, walkable to CBDBroker: Chris @ Corporate RealtyWrite a polished description.”
Team 1: Property Management & Tenant Communications
Project: Started with a base prompt for "friendly reminders" and expanded it for property management needs. Process: They began with the initial prompt and modified it into "three different waves." They further tasked the AI with creating five standard tenant memo notices from non-standard requests. Key Innovation: They focused heavily on controlling the tone of the output, generating versions that were: Professional and direct Polished and corporate Friendly and concise Warm and approachable Example Use Cases: Notices for freight elevator scheduling, after-hours cleaning, and water shut-offs. "Aha Moment": The group's key learning was the AI's ability to adapt its communication style to fit different tenant audiences and situations (e.g., formal notices for high-end corporate tenants vs. friendly reminders for a smaller building). Tool Used: ChatGPT
Team 2: The "Rice" Team - Client Updates & Data Integration
Project: To write a short, concise market update for a client regarding their office. Process: They started with a basic prompt and refined it several times. Key Innovation: The team learned how to provide the AI with external data to create a more informed and relevant output. They instructed the AI to use an attached annual office report to draft the newsletter. They also created a custom GPT ("gem") that saved their final, refined prompt for future use. "Aha Moment": The group's breakthrough was understanding that providing specific data focuses the results. They learned that the first draft from a simple prompt is often generic, but feeding the AI relevant documents (like their own market report) allows it to generate something genuinely useful and specific to their business. This also demonstrated the power to create internal tools that bypass the need to wait for other departments (like PR/Social Media). Tool Used: ChatGPT, including building a custom GPT. Corporate Realty AI Sprint Rice Group
Team 3: Productivity & Workflow Automation
Project: To convert written notes (from pictures) into a structured, actionable task list. Process: The AI was prompted to extract tasks from images of written notes. Key Innovation: They went far beyond simple transcription and had the AI perform several value-add steps: Assign estimated time frames to complete each task. Assign priority levels to each task. Create descriptive updates for each task based on priority. Generate links to automatically create Outlook calendar entries for the tasks. "Aha Moment": Many members of this group were new to AI. Their primary realization was the speed and ease of getting to a functional solution. They were impressed by how quickly they could move from a disorganized set of notes to a structured plan integrated with their calendar, highlighting the accessibility and power of the tool for practical workflow automation. Tool Used: ChatGPT https://chatgpt.com/share/68e560aa-f67c-800b-92ed-f7faf28a323d
Team 4: HR/Finance
Project: Create a journal entry using data from a PDF and Excel file Process: The AI was prompted to extract the necessary data from the PDF and populate the journal entry using the format in the Excel file. Key Innovation: They went far beyond simple task description and had the AI perform several value-add steps: Match payroll categories (e.g., salaries, taxes, benefits) with the correct GL account codes. Ensure total debits equal total credits. Use department or cost center codes if available. Follow the column structure and formatting from the Excel spreadsheet. "Aha Moment": Many members of this group were skeptical to the use of AI, due to privacy concerns. Their primary realization was the speed and ease of getting to a functional solution. They were impressed by how quickly they tackle a task that requires multiple data sources. Tool Used: ChatGPT Link https://chatgpt.com/share/68e587f9-b8b8-800b-8f61-312725cd82a2