Five ChatGPT use cases that save business owners hours weekly

Executive overview

Most business owners lose hours each week to tasks like taxes, contracts, proposals, and expense tracking. AI handles all of these well, but only when given the right context upfront.

The key is building personalised AI advisors — not using generic prompts. Feed AI an interview about your business, upload examples of your best work, and use multiple top models for anything high-stakes.

The meta lesson: make what's implicit in your head explicit, then bake it into a system prompt.

Building a custom AI tax advisor

• Conduct an AI interview: have the AI ask you questions about your business structure, location, and offering
• From the interview, generate a brief; pass both the conversation and brief to a smarter model (e.g. Claude Opus or GPT-5 high-thinking) to fill gaps
• Convert the refined brief into a system prompt using researched best practices for the target model
• Load the system prompt into a GPT project to create a 24/7 tax advisor tailored to your corporation

Reviewing contracts with multiple models

• AI can catch clauses a non-lawyer would miss — e.g. a 5x penalty clause buried in a vendor contract
• For high-stakes tasks, run the same document through multiple top models: GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, Grok 4
• Create a tailored senior attorney persona for each model using model-specific system prompts with your business context
• Compare outputs across models before acting — each surfaces different risks

Writing proposals in 15 minutes instead of three hours

• Create a proposal AI with a style prompt that captures your preferences (tone, reading level, structure)
• Upload a diverse set of your best past proposals as the knowledge base
• Instruct the AI to reference that knowledge base before writing anything
• Output: custom proposals that match your exact style and structure

Marketing: titles, intros, LinkedIn posts, and outreach

• YouTube title generator: scrape a database of proven title frameworks, embed in knowledge base, pass your idea to get ranked title options
• YouTube intro AI: give it your script; it draws on best practices from prominent creators to write a hook
• LinkedIn post AI: uses Matt Gray's power format PDF (in knowledge base + system prompt) to rewrite your drafts for higher engagement
• Use Claude, not GPT-5, for any writing tasks — meaningfully better output quality
• Cold outreach at scale: scrape leads from Apollo or Sales Navigator, use AI to research each person's LinkedIn and website, generate a personalised one-line icebreaker per lead

Expense tracking: beginner and advanced

• Beginner: download Amazon expenses and card transactions as CSVs, upload both to ChatGPT, have it label and match transactions — saves hours per month
• Advanced automation: upload receipts (PDF, photo, screenshot) to a Google Drive folder (personal or corporate)
• AI extracts date, cost, merchant, and purpose; appends to a monthly tab in Google Sheets
• Corporate card path: AI also auto-emails the receipt and metadata to your bank (e.g. Mercury) for transaction matching
• Both paths update the income statement automatically

Meta lessons across all five use cases

1. Use AI to interview you — surface implicit knowledge so the AI can act on it
2. For high-stakes tasks, run multiple top models and compare perspectives
3. Pair a tailored system prompt with a knowledge base of examples — both matter
4. Bottle expert knowledge (books, transcripts, frameworks) into a GPT project for on-demand access
5. Start simple with a small task, then grow complexity incrementally