Uploaded February 2026 | Updated September 2026, 18 minutes ago
Day 42/42: Making AI Reliable
Day 42/42.
If you made it this far, you’re no longer just a user.
LLMs fail because of limits:
hallucinations,
reasoning gaps,
bias,
cutoffs.
They become reliable through design:
grounding,
retrieval,
tools,
alignment,
evaluation.
No single trick fixes everything.
Layering does.
That’s the difference between demos and systems.
If you missed earlier days, start at Day 1.
This was the full mental model.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for what’s next 🚀
#LLM #AIExplained #AIEngineering #short
Day 42/42: Making AI Reliable
Day 42/42.
If you made it this far, you’re no longer just a user.
LLMs fail because of limits:
hallucinations,
reasoning gaps,
bias,
cutoffs.
They become reliable through design:
grounding,
retrieval,
tools,
alignment,
evaluation.
No single trick fixes everything.
Layering does.
That’s the difference between demos and systems.
If you missed earlier days, start at Day 1.
This was the full mental model.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for what’s next 🚀
#LLM #AIExplained #AIEngineering #short










