In the previous part, we checked whether generated prose contains an answer and whether evidence supports its claims. We kept those checks separate from whether the answer reads well. Now suppose those checks keep finding the same mistakes: assistance becomes…
In the first StyloMail article, I used Jev to ask specific questions about email and get typed, probabilistic answers back. Nimble, from Bespoke Labs, brings that technique to a model I can host myself through Ollama. From C#, I can send the same kind of state…