
Getting Smarter at Getting Smarter: A Practical Guide to Self-Tuning AI
🔥 Summary: The Self-Tuning Imperative
“We’re drowning in models but starved for wisdom.” Traditional AI stacks:
- Require constant manual tuning
- Suffer from version lock-in
- Can’t explain their confidence
What if your AI system could learn which models to trust and when without your help?
In this post, we’ll show you a practical, working strategy for building self-tuning AI not theoretical, not hand-wavy, but a real system you can build today using modular components and a few powerful insights.