AI Strategy and Tips

Jun 6, 2025

Summary

  • 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?