fact-find, underwriting, rated offers and declines, delivery, beneficiary audits, annuities. Plus the illustration, replacement, and tax lines AI will cross for you if you let it.
Ask AI to write a post explaining how an indexed policy builds cash value.
It will give you something clear and readable. And somewhere in it will be an example: "a 35-year-old contributing $500 a month could accumulate approximately $X by age 65."
That number came from nowhere. It's a projection of non-guaranteed values, presented without the disclosures illustration rules require, in a marketing piece that needed carrier approval.
Nobody will notice this year. They'll notice in fifteen years, when the values didn't materialise and someone's attorney is reading your old marketing.
Life insurance is one of the few businesses where a well-written, persuasive, factually plausible paragraph is a regulatory problem — and where the consequence arrives two decades after the sentence.
THREE THINGS THAT MAKE A GENERAL AI PROMPT LIBRARY USELESS TO YOU
ILLUSTRATIONS. Any figure representing future policy values is governed by illustration
regulation and carrier requirements. AI writes projections effortlessly. Every figure it
produces is a compliance problem in waiting. All figures come from your carrier's illustration system, run for that specific client, with the carrier's disclosures.
REPLACEMENT. Any conversation touching existing coverage may trigger your state's replacement
rules — prescribed notices, disclosure forms, timing, sometimes a comparison on a prescribed
form. Ask AI to compare an existing policy to a proposed one and it produces a persuasive comparison that violates all of it, framing the existing policy unfavorably because that's what you asked for.
SUITABILITY AND BEST INTEREST. Most states now apply a best-interest standard to annuity recommendations. Give AI a client scenario and it names a product, a face amount, a rider package, and a carrier. It performed no fact-find. Adopt it and you have a recommendation with no reasoning in your file — which is how defensible recommendations become indefensible cases.
Chapter 1 covers all three, plus the client-data problem that life underwriting makes unavoidable: medical history, prescriptions, exam results, APS records. Everything you must never paste is exactly what your files are made of.
CHAPTER 5 — RATED OFFERS, DECLINES & HARD NEWS
No other AI prompt library has this chapter, and it covers the hardest communication in the business.
Delivering a rated offer. Delivering a decline. Handling a postponement so the case actually
comes back instead of being forgotten. And a script for the client who reacts angrily —
including a prepared line for the accusation that you promised an outcome.
Three rules built into every one:
- Never interpret the medical basis. You're not qualified, and speculating creates both a medical-advice problem and a misrepresentation risk.
- Never disparage the carrier's decision. It undermines the carrier, sets an expectation you
can't deliver, and reads badly in a file.
- Never promise another carrier will do better. You may believe it. Say you'll explore alternatives — not that you'll find one.
CHAPTER 7 — THE BENEFICIARY AUDIT
The single highest-value service call in the business, and almost nobody makes it.
Designations go stale. Ex-spouses stay named. Beneficiaries predecease. Minors are named directly with no arrangement for managing proceeds. Estates get named by default, pulling proceeds through probate. Trusts are named that were never funded.
None of it surfaces until a claim, when it can't be fixed.
The chapter includes the call structure — written to a specific boundary. You can confirm what
the designation says and ask whether it still reflects their intent. You cannot advise who to name or discuss estate consequences. That's legal advice, and the script refers it out.
APPENDIX B — LANGUAGE TO NEVER USE, AND WHAT TO SAY INSTEAD
Fourteen substitutions. "Tax-free income" → what to say instead. "You can't lose money" → what
to say instead. "I can beat that premium" → nothing, until you've completed the analysis and any required replacement process.
Plus the ninety-second habit that catches nearly everything: search every draft for guarantee, always, never, tax-free, free, risk-free, better, best, save, beat, need, will have, investment, and any digit. Each hit is a decision you make consciously.
39 prompts across 13 chapters, following the life sales cycle:
Lead generation and first contact by source, with a ten-touch cadence • The fact-find — built
on the inversion that AI makes better questions, never answers, plus a suitability
documentation checklist • The underwriting journey, where cases die of silence: expectation
setting, exam prep written to avoid coaching or medical advice, scheduled status updates, and
requirement chasing • Rated offers, declines, and hard news • Policy delivery and 90-day
onboarding, plus lapse prevention • Annual reviews, beneficiary audits, and expiring term
outreach at 24 months, 12 months, and 90 days • Final expense and the senior market, with
comprehension checks and family involvement scripts • Mortgage protection and young families,
including the lender-affiliation clarity that market requires • Business and advanced markets —
key person, buy-sell, executive bonus, and coordinating with the client's CPA and attorney •
Annuities, replacement, and best interest • Educational content marketing with compliance
ratings • Centers of influence: CPAs, estate attorneys, and referral requests that offer nothing of value.
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