Strong shift in perspective.
The idea that hallucinations are primarily a context management problem rather than just a model limitation is the key takeaway here. Most people are still trying to “fix” outputs at the prompt level, while ignoring how poorly structured the inputs actually are.
The 45-line context engine is interesting because it forces discipline:
explicit context boundaries
controlled information flow
reduced ambiguity before generation
That’s essentially moving from trial-and-error prompting to deterministic system behavior.
One question worth pushing further: How do you evaluate whether your context engine is actually reducing hallucinations consistently across different tasks, not just in isolated cases?