Louis-François Bouchard, aka What's AI

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Your AI Can Improve Itself — Or Fool You

Self-Improving AI Is No Longer Theory

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AI Distillation Explained: The Truth Behind the Biggest AI Controversy Right Now

US AI Labs Accused China of Stealing

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How to Control Bias in AI Agents

The guardrails, audits, and human review loops that actually work

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Harness Engineering: The Missing Layer Behind AI Agents

The clearest way to understand the difference between prompt engineering, context engineering, and harnesses

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Why RAG Is Not Training Your AI

Are You Actually Changing the Model, or Just Giving It Context?

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What I Look For When Hiring AI Engineers

After interviewing more than 100 candidates, here’s what actually stands out in AI engineering interviews and take-home assignments

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Stop Building Agent Demos

Agentic AI Engineering teaches you how to design, evaluate, and deploy autonomous systems that don’t collapse under real constraints

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I Published 42 Shorts on AI Terms in 42 days

Because Prompting Was Never the Real Problem

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The 12 Questions That Decide Your AI Architecture

A cheatsheet to avoid costly rework in agent systems.

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Multi-agent is becoming the new overengineering

You’re not building agents. You’re building workflows (and that’s fine)

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How to Clean Up AI-Generated Drafts Without Sounding Like ChatGPT

How to Spot and Remove “AI Slop” from Your Writing

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Why AI Feels Intelligent (and Why That’s Misleading)

A clear explanation of what LLMs actually learn, why humans are different, and why AGI is not around the corner

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Earn While Helping Others Learn AI

1 referral = our bestselling book. 3 referrals = a course. 10 = full access + affiliate tier

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Deep Research Agents: The Next Big Leap Beyond ChatGPT

OpenAI’s Deep Research Explained

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What actually changed with GPT-5

Reasoning, tools, costs and when mini beats it

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2025: The Year of AI Agents

Million-Token Context? Cheap Tools? Perfect Time for Agents

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LLMs Lie. Here’s How to Keep Them Honest

The Truth About ‘Intelligent’ AI

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Prompt Engineering 101 for Business People

Tips for Crafting the Perfect Prompt for Each Model

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How to Really Build on Top of LLMs

(full training session) (typical path for companies)

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MCP: The USB Port for LLM Integrations

Inside Anthropic’s Model Context Protocol

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Our developer-focused guide to LLMs, free!

A FREE 2-hour LLM Training (part 1)!

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How Smart Are Reasoning Models in 2025?

The Future of LLMs

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LLM Weaknesses 101: What They Really Learn

What LLMs really learn...

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Master LLMs in a Weekend

Full 10-hour video course now live, first 4-hour module free

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How LLMs Learn

A Brief Introduction to Large Language Models (LLMs)