What problem does it solve? Praise from clients arrives scattered across DMs, public comments, reviews, and meeting calls, and none of it is findable when a launch page needs social proof. Worse, quoting a private message or an unsubstantiated results claim without permission creates legal exposure under right-of-publicity law and FTC endorsement rules. ## Core Features & Use Cases - Praise discovery sweep: Runs narrow parallel queries across Littlebird MCP messages, screen snapshots, summaries, and meeting tools to find gratitude, results, and referral language in ten distinct registers. - Permission tiering: Assigns every quote a tier from its source channel (public and reusable, private and needs permission, or confidential and do not use), with unknown channels defaulting to confidential. - FTC results-claim flags: Separates results quotes into a sub-bank flagged SUBSTANTIATED, NEEDS EXPECTED-RESULTS DISCLOSURE, or NOT PUBLISHABLE AS A RESULTS CLAIM. - Use case: Before a product launch, run a deep sweep over 180 days to produce a persistent testimonial-bank.md with verified attribution, drafted permission requests held for approval, and a gap report naming client relationships with no captured praise. ## Quick Start Ask the assistant to find your testimonials and build a testimonial bank from your captured messages, reviews, and meetings.
