I built a file format so AI answers cite an exact source sentence, or admit they don't know
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RAG has a trust problem: a model answers fluently, cites nothing, and you can't tell fact from confident improvisation without manually checking the source docs. This gets worse, not better, with smaller models — they're more likely to fill gaps with something plausible, and less likely to hedge. I've been building AIPK , a package format that tries to close that gap — not by making the model smarter, but by making it provably grounded , sentence by sentence, or explicit about the fact that it…
1Key Takeaways
- RAG has a trust problem: a model answers fluently, cites nothing, and you can't tell fact from confident improvisation without manually checking the source docs.
- This gets worse, not better, with smaller models — they're more likely to fill gaps with something plausible, and less likely to hedge.
- I've been building AIPK , a package format that tries to close that gap — not by making the model smarter, but by making it provably grounded , sentence by sentence, or explicit about the fact that it….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that rAG has a trust problem: a model answers fluently, cites nothing, and you can't tell fact from confident improvisation without manually checking the source docs.
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