What problem does it solve?
Free-form AI personalization produces generic, interchangeable cold email bullets (2/5 usable). This playbook fixes that by having the operator pre-define three fixed idea slots, so the model only fills each slot with a company-specific detail and never invents an idea the seller cannot deliver.
Core Features & Use Cases
- Slot-defined generation: The operator names what bullets 1, 2, and 3 are about before any prompt exists, and hand-writes three exemplar bullet sets on real companies as a hard gate.
- Evidence waterfall with verification: Five evidence sources in a locked order, each gated on evidence length (not emptiness), plus a free verifier that asserts each bullet's quoted evidence is a real substring of the input.
- Dual implementation paths: Ships as a Clay table build (14 columns with an 8-point acceptance check) and a Clay CLI workflow, with model selection guidance (nano-class outside Clay at $0.12/1k rows, gpt-4o-mini inside Clay).
- Use Case: A lead generation agency runs a "three ideas for your business" campaign across 10,000 manufacturing prospects, producing creative_idea_1/2/3 fields and a rendered bullet block, with any empty bullet routing the lead to a non-ideas campaign.
Quick Start
Ask Claude to set up the creative ideas playbook by interviewing the operator to name the three bullet slots and hand-write three example bullet sets for real companies before building the prompt.