ChatGPT for Everyday Work

What you’ll build

• Module 2: From the transcript of a team’s Monday meeting: a five-line summary, the decisions, an action items table (task, owner, due date) and the open questions.
• Module 3: A warm, accurate reply to a customer whose order went sideways: the wrong pickup day, a change request and an allergy question nobody answered.
• Module 4: You are Morgan, a staff accountant at Calloway & Reyes CPAs, a made-up five-person firm. The partner wants the Okafor Family Trust’s details out of ChatGPT before Friday, without losing the chats the firm keeps for records.
• Module 5: A ChatGPT project for one client, with the client's rules in Project settings > Instructions. A new chat inside it that follows those rules without being told, and a normal chat that shows you why that matters.
• Module 6: Two catering quotes for Harbor Street Bakery, a small made-up bakery. The first is for Oakwood Library: 80 guests at $5.20 each plus $30 delivery, $446 in total with a $223 deposit. When the library changes to 100 guests, you type that one line in the same chat and get the new quote ($550, deposit $275), then a two-line text to the baker, Sam, with the new headcount.
• Module 7: A sales review for Maple Hollow Garden Center, a made-up small business with six months of sales in one CSV file: 1,248 orders across 7 columns (order_id, date, category, product, channel, units, revenue).
• Module 8: A Project for Brightwater Cleaning, a small made-up company. It has project-only memory, five lines of instructions (who they are, how they sound, which files to use, how to sign off) and two files under Sources: Brightwater price list.pdf and Brightwater brand voice.docx.
• Module 9: A one-page Front-Desk Coordinator SOP for Harbor Point Accounting, a made-up accounting firm, built from one messy paragraph of notes: answer in three rings, take messages in the CRM, tax-season voicemail checked at 8am and 1pm, never give refund status or SSN details over the phone, greet walk-ins in 30 seconds, and ask Dana when unsure.
• Module 10: An internal incident report for Ridgeline Supply Co., a made-up warehouse. On Tuesday’s second shift the top layer of a pallet slid off a forklift; no one was hurt and six cartons were damaged. Your notes and two statements disagree: Andre says about 2:15 and a torn wrap, Bree says around 2:30 and thinks he turned too fast.
• Module 11: An Instagram poster for a fall mum sale at Fern & Stone Garden Center, a made-up shop, with its own logo top left: "FALL MUM SALE", a "3 pots for $25" ribbon, the dates and the address.
• Module 12: The Sunny Paws Booking Helper, a made-up grooming shop’s GPT, rebuilt as a Project called Sunny Paws Booking with project-only memory. Its five lines of instructions are pasted into Project settings, its three conversation starters become one extra line ("If I type menu, offer these starting points"), and its two knowledge files (Sunny Paws price list.pdf and Sunny Paws policies.docx) go under Sources.
• Module 13: A supplier comparison for Hollow Oak Landscaping, a made-up small company: a workbook called Hollow Oak Supplier Comparison with a Comparison tab (price per cubic yard, delivery fee and a source link for every number, from three made-up supplier sites) and a Summary tab that prices the usual order and recommends one supplier. Valley Stone & Mulch comes out cheapest at $733.