Sep 22, 2026 · 40 min
A practical system for getting more from AI chatbots
Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
As major chatbots converge in capability, better results increasingly depend on model choice, context, permissions, verification, and workflow design.
- 1Choose the chatbot, model, and interface based on the task rather than brand familiarity.
- 2Use paid plans, connected files, and business data deliberately while managing privacy and permissions.
- 3Build verification and automation into AI workflows instead of treating chatbot output as finished work.
Don't miss
Jordan Wilson’s most useful shift is from prompt-focused advice to a broader workflow: choose carefully, provide context, protect data, verify outputs, and automate repeatable steps.
The brief
Jordan Wilson opens with the practical problem facing AI users: ChatGPT, Claude, Gemini, Copilot, Codex, and other tools keep changing faster than most workflows can adapt.
The episode’s central argument is that chatbot choice matters, but so do the model, interface, subscription level, and context supplied for a specific task.
Files and business data can make AI more useful, yet connecting them raises privacy and permission questions that belong inside the workflow, not after it.
The framework ends with verification and automation: AI output should be checked and then integrated into repeatable processes rather than accepted as finished work.