What problem does it solve?
Cold emails with a good offer still read like they were sent to 5,000 people because the offer is stated generically. This playbook writes the one sentence tail that restates the client's capability in the prospect's own nouns, so the offer reads as written for that one company.
Core Features & Use Cases
- Specificity line generation: Produces a 6-14 word, lowercase, verb-first tail that slots into the fixed frame "I think we can help you {{specificity_line}}.", with blank as a valid output for non-fit companies.
- Deterministic verification guard: Mechanically checks that the anchor is quoted from the company evidence, the offer item is quoted from the locked client offer block, and the line passes length, dash, capitalization, and banned-phrase rules.
- Reading-level gating: Enforces Flesch-Kincaid grade 7 on the generated tail only, since the fixed frame alone scores 5.7 and gating the rendered sentence would blank every row.
- Use Case: A bookkeeping firm emailing ecommerce brands replaces "we help with margin reporting" with "know the landed cost of every pool float before you price it" for a pool supply company, generated per lead from its company description.
Quick Start
Ask Claude to run the playbook-ai-specificity skill on a lead list with a locked client offer block to generate a specificity_line merge field for each company.
