Anticipate failure modes

For each severe context window failure on the contract-review assistant, define stop condition, safe state, owner, and lasting prevention. Rollback only works if prior prompts, indexes, and models remain available. “Send to a human” needs queue capacity and context—not just a button name.

Run one tabletop on the contract-review assistant for context window: inject a defect, verify detection, contain, recover, and keep the blameless trace.

After the tabletop, store the injected context window defect for the contract-review assistant as a regression fixture. If the same failure later reaches users silently, your detection story was aspirational. Detection without a fixture tends to rot for context window.

Also pin one numeric memory from this context window chapter: A 32k window with 8k system+tools, 12k retrieved exhibits, 6k history leaves ~6k for the draft—and less if tokenization is heavier than word count suggests. That number is not decoration; it is a template for how claims about context window on the contract-review assistant should look in design docs. Scoped specifically to context window / contract-review assistant / failure-modes.

People confuse context window with neighboring buzzwords when debugging the contract-review assistant. Before changing prompts, ask whether the broken stage was evidence gathering, the context window judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried context window and it failed”) that blocks the next team on the contract-review assistant. Scoped specifically to context window / contract-review assistant / failure-modes.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to context window rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to context window rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to context window rather than generic AI advice.