Ep 693: AI Without the Jargon: The Language Every Business Leader Needs in 2026 (Start Here Series Vol 2)
January 16, 2026
AI Summary
5 min read🎙️ The Voices & The Context
- The Format: Solo-hosted educational podcast episode, structured as a monologue with live-stream energy, blending intro, breakdowns, analogies, and calls-to-action.
- The Key Players: Jordan Wilson, host of Everyday AI; a seasoned AI translator who bridges technical jargon for business leaders, drawing from 700+ episodes and real-world consulting with Fortune-level companies.
- The Vibe: Educational and motivational—energetic, jargon-busting, with practical pep talks to empower beginners and intermediates; fun analogies keep it accessible, not stuffy.
🗝️ Key Themes & Topics
This episode demystifies AI lingo for 2026 business leaders, emphasizing communication gaps, core mechanics, advanced tools, and risk management to drive ROI.
- Topic 1: AI Communication Challenges & Adoption Stats—Host highlights why AI talk fails (rapid tech changes, poor training, knowledge gaps), cites ChatGPT's explosive growth (800M+ weekly users vs. internet's slower ramp-up), and positions the "Start Here" series as a jargon-killer.
- Topic 2: Foundational Mechanics (Prompt-Action-Outcome)—Breaks down LLMs via human prompt → model processing (tokens, context window, parameters) → output; analogies like currency conversion and overflowing hard drives make it relatable.
- Topic 3: Advanced Concepts & Evolution—Covers RAG (retrieval
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What you'll learn
- 1 (00:00) **Challenges in AI Communication and Start Here Series Intro**
- 2 (04:12) **AI's Permanence and ChatGPT's Impact**
- 3 (07:31) **Prompt-Action-Outcome Framework**
- 4 (10:23) **Generative AI, LLMs, and Tokens Basics**
- 5 (13:56) **Context Window, Parameters, and Model Size**
- 6 (16:51) **RAG, Embeddings, and Chunking**
- 7 (18:30) **Front-End vs. Backend Usage**
+ Full timestamped outline available in the app
Show Notes
The AI gap will kill companies.
What is it?
it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for.
And one of the biggest reasons for the AI gap?
Talking.
Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing.
You wanna talk to your AI team about LLMs?
PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production.
Yeah, the divide is WIIIIIDE.
So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- An Everyday AI Chat with Jordan Wilson
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Topics Covered in This Episode:
- AI Jargon Barrier for Business Leaders
- Generative AI Basics and Lingo Breakdown
- ChatGPT, Claude, and Gemini Model Comparison
- Understanding Tokens and Context Windows
- Large Language Models: Prompt to Outcome
- Parameters, Model Power, and Cost Implications
- Retrieval Augmented Generation (RAG) Explained
- Embeddings, Vector Databases, and Chunking
- Agentic Models vs. Transformer Models
- AI Risks: Hallucinations, Prompt Injection, Guardrails
- Model Context Protocol (MCP) and Connectors
- Scaffolding for Complex AI Workflows
- AI Success: ROI, Risk, and Implementation Strategies
Timestamps:
00:00 "Join Start Here Series Community"
03:21 Bridging AI and Business Leaders
09:35 Partnering for Generative AI Success
12:26 "AI Models Operate Using Tokens"
15:41 "Shift to Smaller AI Models"
18:56 "Understanding RAG and Its Impact"
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