Subvolts take Master any AI chatbot with 10 essential steps for better results. May 28, 2026 - Business
- Learn to integrate AI chatbots into workflows and leverage company data for better business outcomes.
- Everyday users
- Discover practical techniques to improve your daily interactions with AI chatbots for personal tasks and information gathering.
This episode offers a practical, distilled guide to using AI chatbots effectively, a topic relevant to many users.
Ep 786: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Everyday AI host Jordan Wilson presents a guide to maximizing AI chatbot outputs. This episode, "2026 LLM Cheat Code," offers 10 essential steps applicable to various large language models like ChatGPT, Gemini, and Claude. Wilson distills extensive experience into practical advice for users seeking better results from AI tools.
This episode teaches you how to talk to AI chatbots like ChatGPT or Gemini to get them to do exactly what you want. It covers simple tricks and steps that work for almost any AI, helping you get better answers and results for your tasks.
This episode provides actionable strategies for anyone using AI chatbots, regardless of the specific model. It addresses the increasing similarity between major LLMs and offers concrete best practices. Listeners will learn how to engineer prompts, manage context, and integrate AI into workflows. It's for users wanting to improve their AI interactions, connecting to the frontier labs' efforts to standardize and enhance user experience across their evolving models.
- HostJordan Wilson
- Episode Title: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot
- Show: Everyday AI
- Host: Jordan Wilson
- Length: 41 minutes
- Key Steps Covered: 10 essential steps for AI chatbots
This is the Everyday AI episode we probably shoulda done a while ago.... 👇
Because as different as ChatGPT, Gemini, Claude and others actually are under the hood, they have really started to copycat each other over the past 6 months.
Which means we finally have a set of concrete best practices to get the best outputs from any LLM.
Join us as we boil thousands of hours of experience into a 30-ish minute crash course that you can't afford to skip out on.
2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot -- An Everyday AI Chat with Jordan Wilson (Start Here Series Vol 26)
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Topics Covered in This Episode:
- LLM Landscape: Cookie Cutter Model Trends
- 10 Essential Steps for AI Chatbots
- Choosing the Right AI Operating System
- Selecting Optimal AI Chatbot Surfaces
- Importance of Paid AI Chatbot Plans
- Understanding LLM Context Window Layers
- Context Engineering and Prompt Best Practices
- Integrating Files, Apps, and Company Data
- AI Chatbot Privacy, Permissions, Governance
- Transparency, Observability, and Reasoning Artifacts
- Verification, Iteration, and Workflow Automation
Timestamps:
00:00 Keeping up with AI changes
03:55 Introduction to AI chatbots essentials
09:05 Rapid innovation in AI models
13:01 Understanding early AI models
14:37 Choosing an AI operating system
17:08 Discussing desktop app benefits
21:14 Understanding the context layer
23:55 Challenges without web search integration
28:55 Advancements in CRM connectors
32:35 Challenges with AI governance
35:13 Importance of observability in workflows
37:36 Developing universal AI skills
Keywords:
large language model, LLM, AI chatbot, AI operating system, ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, open models, cheat code for LLM, AI best practices, prompt engineering, context engineering, context window, context layer, reasoning models, generative AI, deterministic vs generative, web search in AI, model selection, paid AI model, free AI model risks, AI surface, desktop AI app, agentic capabilities, AI connectors, app integrations, business data privacy, permissions and governance, shadow IT, enterprise AI, observability, transparency, reasoning artifacts, workflow automation, verification loop, iteration in AI outputs, skill creation, plugin, automated workflow, ag
- LLM
- Jordan Wilson
- Large Language Model, a type of AI that understands and generates text.
- Context Window
- Jordan Wilson
- The amount of information an AI can remember and consider during a conversation.
- Prompt Engineering
- Jordan Wilson
- The skill of crafting effective instructions to get desired outputs from AI.
53 min44 min
Questions people ask
- What is the main goal of this episode?
- The episode aims to provide concrete best practices for getting the best outputs from any large language model (LLM) chatbot.
- Why is this guide relevant now?
- Different AI chatbots have started to copy each other, creating a set of concrete best practices that users can now apply universally.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Everyday AI.