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ReAct vs Plan-and-Execute: The Architecture Behind Modern AI Agents
In this video, we explain the patterns powering reasoning models in 2026
Mar 2
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Louis-François Bouchard
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February 2026
Agentic AI Engineering Is Live!!
For developers who want to stop experimenting and start shipping production-grade autonomous systems
Feb 26
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Louis-François Bouchard
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The Most Important Decision in AI Engineering
Before you build an agent, understand the autonomy tradeoff that determines cost, reliability, and scale
Feb 18
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Louis-François Bouchard
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Stop Guessing With AI
A plain-English mental model of how LLMs work, so you know when to trust them and when not to
Feb 10
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Louis-François Bouchard
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Why AI Feels Random (And What’s Actually Going On)
42 core concepts that make LLM behavior predictable
Feb 6
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Louis-François Bouchard
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5
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Vibe Coding Isn’t a Shortcut. It’s the New Entry Point.
What enterprise AI training taught me about fundamentals, best practices, and building responsibly with LLMs
Feb 3
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Louis-François Bouchard
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January 2026
Most AI Projects Fail Before They Start
It’s not the model. It’s the decisions you’re skipping
Jan 30
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Louis-François Bouchard
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Before You Build a Multi-Agent System… Read This Cheatsheet
Let's break down the real difference between agents and tools, when workflows win, and the few cases where multi-agent complexity is actually worth it
Jan 23
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Louis-François Bouchard
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Stop Sounding Like ChatGPT: An Editor’s Cleanup System
The repeatable process we use to turn AI drafts into sharp, publishable writing
Jan 16
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Louis-François Bouchard
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When Should You Actually Use AI Agents?
Most systems don’t need them. Here’s how to know when you do.
Jan 6
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Louis-François Bouchard
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The Context Window Problem
Why scaling agents isn’t just about better models
Jan 2
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Louis-François Bouchard
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December 2025
The Biggest Misunderstanding About How AI Learns
Why imitation, prediction, and intelligence are not the same thing
Dec 23, 2025
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Louis-François Bouchard
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