An RTE pastes an entire PI of city housing-voucher ART Inspect-and-Adapt notes into an AI assistant and the summary cuts off mid-problem, omitting later root-cause boards. What practical prompting constraint is showing up?
Select an answer to reveal the explanation.
Short Explanation
Assistants have a backpack, not a warehouse. Stuff a whole PI of Inspect-and-Adapt notes in at once and the zipper bursts—the last boards never make the summary. Break the notes into chunks and tell the model what matters most.
Full Explanation
Context-length limits are a practical prompting constraint. Oversized inputs are truncated or weakly attended, so later Inspect-and-Adapt material can disappear from the summary. RTEs should chunk notes, summarize in passes, and verify coverage against the source. Truncation is not a SAFe content ban, a legal prohibition, or evidence that omitted boards were empty.