The meeting focused on advanced strategies and practical tips for optimizing ChatGPT and other large language models (LLMs) in personal, business, and creative workflows.
Discussions included prompt engineering, leveraging LLMs for business idea generation, workflow automation, and integrating LLMs into routine tasks as business partners or creative collaborators.
Business hacks, unique prompt ideas, and recommended tools were shared, along with insights from a broader AI user community.
Attendees included the host and referenced contributors from an AI-focused Slack community.
Action Items
(No date – All listeners): Experiment with layering and refining prompts as described, and document results for further discussion in community channels.
(No date – James): Continue sharing prompt engineering discoveries and tips in the AI channel, specifically on extracting GPT prompt instructions.
(No date – Taylor): Share ongoing updates and feature write-ups regarding the T3 LLM aggregator tool.
(No date – All listeners): Join and contribute to the TK Owners community AI channel for shared learning and prompt feedback.
(No date – Host): Prepare additional content on using LLMs for business workflows and facilitate sharing of new hacks in future newsletters/podcasts.
ChatGPT and LLM Usage Strategies
Use ChatGPT as a strategist or business partner, not just a search engine; ask for tactics, angles, and leverage rather than simple facts.
Provide real context and reference examples (images, text, videos) to improve output relevance; avoid vague instructions.
Build reusable, system-driven workflows (not one-off prompts) for repeated tasks like writing emails or generating content.
Layer prompts iteratively: input, refine, rephrase, and test to achieve better results and build learning.
Treat ChatGPT as a collaborative partner—assign business tasks such as writing investor reports, designing pricing models, or drafting newsletters.
Notable Prompt & Hack Examples
Use ChatGPT to generate unique marketing angles, test them with Instagram polls, and iterate until audience-validated.
Rewrite content at a fifth-grade reading level for broader appeal and comprehension.
Analyze favorite writers' works to extract first-principle writing qualities, then instruct ChatGPT to emulate that style.
Craft writing by starting with an open-ended hook, delaying payoff until the end, and ensuring the conclusion is rewarding.
Surface unique, underutilized quotes or concepts (from books, reviews, etc.) by instructing ChatGPT to filter out common knowledge.
Upload customer reviews and prompt ChatGPT to generate SEO-optimized blog content anchored on high-value keywords.
Source one-star reviews in a niche and use ChatGPT to draft effective cold outreach emails.
Feed ChatGPT context about your skills, resources, and goals to brainstorm tailored business ideas.
Use ChatGPT as a reflective tool: summarize conversations to provide personal feedback or advice on becoming a better communicator or partner.
Aggregate answers from multiple LLMs (ChatGPT, Grok, Claude, Perplexity) and "cross-pollinate" responses to prompt deeper or more refined insights.
Use ChatGPT for life hacks such as extracting recipes from long blog posts, summarizing lengthy videos, suggesting substitutions, or generating meal ideas from fridge photos.
Analyze bank statements for recurring charges and opportunities to save, leveraging ChatGPT's pattern recognition.
Business Idea Generation Prompts
Identify industries with notorious negative reviews suitable for cold outreach business ideas; aggregate and compare data across markets for opportunity assessment.
Brainstorm businesses centered on emerging products (e.g., Tesla Cybertruck) or polarizing trends.
Develop product ideas for gig economy participants (e.g., items Uber/Lyft drivers can sell in short engagements).
Community & Tool Recommendations
Engage with the TK Owners community (tkowners.com) for real-world AI tips, coding discussion, and feedback on prompt engineering.
Use "prompt reveal" techniques—copying GPT instructions—by pasting a specific phrase in custom GPTs to understand and learn from their setup.
Explore T3 (t3) or similar aggregator tools for seamless switching between different LLMs in one chat interface.
Decisions
Encourage prompt engineering as a core skill — Rationale: Systematic, layered prompting delivers more reliable, creative, and tailored results than simple query-response use.
Open Questions / Follow-Ups
How do context window limitations affect long-term workflows for ongoing projects, particularly with larger reference uploads?
Are there additional prompt engineering frameworks or tools within the community that can simplify or automate the process even further?
What safeguards are recommended for privacy and data sensitivity when using LLMs as personal assistants or for sensitive business contexts?