Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
Jordan Wilson presents a practical 10-step framework for getting better results from any major AI chatbot, despite rapid model changes and growing similarities among platforms.
This episode explains how to work effectively with modern LLMs by choosing the right AI operating system, surface, plan, model, context, data connections, permissions, and workflows. It distinguishes generative reasoning systems from search engines, explains context-window limits, and shows why current web and company data matter. The discussion also covers connectors, governance, observability, verification, iteration, and the progression from simple chatbot use to reusable skills and AI agents.
04:28
04:28
Universal rules for increasingly similar AI models
06:50
06:50
Choose an AI operating system
11:20
11:20
The real AI race is moving underneath the surface
15:16
15:16
An LLM is a reasoning engine, not a chatbot
18:16
18:16
AI is moving to the desktop
20:20
20:20
Real outputs require paid models
22:25
22:25
Context is everything the model can see
28:09
28:09
Prompting should steer the model with the right context
30:43
30:43
Connectors can carry context across applications
33:03
33:03
Governance is permission design, not paperwork
36:40
36:40
The middle steps matter most
39:30
39:30
From chatbots to commanding AI agents
