A practical way to separate ChatGPT conversations from durable project knowledge by promoting only settled decisions into Markdown, versioning them in GitHub, and reviewing them in Obsidian.
How Salesforce Email-to-Case classification can turn production corrections and outcomes into validated evaluation data, governed improvement proposals, and a safer closed loop.
A practical Salesforce Email-to-Case design for changing customer intent inside one thread: let AI interpret meaning, use human acceptance as the transaction boundary, and keep state changes deterministic.
A practical look at Salesforce Email-to-Case AI classification: keep the implementation bounded, reuse the workflow that already works, and observe what happens after the prediction.
The 95% Number Is a Signal, Not the Conclusion When I first saw the “95%” figure, the number itself was not the part that stayed with me. A failure rate that dramatic is easy to repeat, but it can also flatten a much more useful question: why do capable models, serious vendors, and well-funded pilots … Read more