Latest Talk
The Augmented Human: Taming the Beast, the Art of Staying in Control
L'Humain Augmenté : Dompter la bête, l'art de rester maître
- ◷
- 25 minutes
- ◈
- Interactive presentation with crowd work
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- Developers, project managers, analysts
“AI proposes, the Augmented Human decides.”
A pragmatic look at AI in development: how to harness it without losing control. Built around 3 golden rules and real before/after examples from 15 months of hands-on AI usage.
The 3 Golden Rules
- 1
The 90/10 is real
AI gets you 90% in 10 seconds. Your 10% takes 90% of your attention. Knowing where you are in that ratio is the critical skill.
- 2
Never trust the re-generated
Screenshot, lock it down, supply the stable parts yourself. Once AI regenerates something you considered final, it's fair game for drift.
- 3
Triangulate before you validate
3 experts are better than 1. Truth lives at the intersection. Never ship on a single model's opinion.
Presentation Highlights
Before/After: AI Design Evolution
The "IA ou pas IA?" game — a 15-month progression of AI-generated design, from garbled text to near-perfect output, shown live with audience participation.
The FunnySlide
A Claude Sonnet model confidently telling me that Claude Sonnet 4.6 doesn't exist — while running as Claude Sonnet 4.6. Concrete proof that triangulation isn't optional.
Key Concepts
- 01
The 90/10 Rule
AI gets you to 90% in seconds — the critical last 10% is where your expertise and judgment make or break the outcome.
- 02
Design by Algorithm — Screenshot & Replace
A workflow for using AI to generate UI/content, then locking the good parts with screenshots before regenerating context around it. Prevents unintended drift.
- 03
Le Conseil des Sages — Multi-Model Triangulation
Generate with one model → Critique with a second → Validate with a third → YOU synthesize. The disagreement between models is where the real insight lives.
- 04
Architecture Levels
Code correctness → Architecture resilience → "What will BREAK and WHEN?" — each level requires a different type of AI prompt and a different level of human oversight.
- 05
Chaos Engineering with AI
Using AI to proactively find failure modes before production does. Ask models to attack your own architecture, not just validate it.
- 06
The Boeing 737 MAX Analogy
Understanding your tools is not optional. Automation without comprehension is how systems fail catastrophically. Be the brake, not just the accelerator.
Related Content
Building Andon-SSP with AI →
The 4-part blog series that the presentation draws from — deep dives into the same principles with real code examples.
Read the blog series