Choosing between rules and an LLM
Stable complete rules should remain deterministic.
Each scenario explains the expected disposition, preferred pattern, rejected alternatives, controls, and reassessment triggers.
Stable complete rules should remain deterministic.
A low-stakes draft is easy for the sender to review before sending.
Draft variations are reversible and straightforward for a marketer to review.
The supplied notes are the complete source and the summary is easy to compare.
Policy answers need the current authoritative version and traceable passages.
Answers must be grounded in access-controlled internal sources.
A fixed pipeline can collect validated fields and use AI only for bounded narrative synthesis.
Validated arithmetic and tax rules are deterministic.
A bounded classifier can suggest routing while exceptions remain reviewable.
Personalized high-consequence guidance needs a qualified responsible professional and a narrower support task.
A schema and deterministic validation can bound extraction.
Public claims need substantiation and accountable publication review.
Drafting and scheduling can be separated so publication remains an explicit human-approved action.
A bounded agent may compare a preselected queue but merges require preview and approval.
Current claims require traceable sources and observation dates.
AI may assist issue spotting only after the task is reframed away from legal decision ownership.
Adaptive navigation may justify an agent only inside strict action and stop boundaries.
The v1 product boundary excludes AI influence over employment screening.
The task can proceed only in an approved environment with minimized records and qualified review.
A narrow tool can preview and write selected reversible fields.