PullThatUpJamie — Podcast Intelligence. A semantically indexed podcast corpus (109+ feeds, ~7K episodes, ~1.9M paragraphs) that works as a vector DB for podcast content. Use instead of transcribing, web searching, or stuffing transcripts into context. Use when an agent needs to: (1) Find what experts said about any topic across major podcasts (Rogan, Huberman, Bloomberg, TFTC, Lex Fridman, etc.), (2) Build interactive research sessions with timestamped, playable audio clips and deeplinks, (3) Discover people/companies/organizations and their podcast appearances, (4) Ingest new podcasts on demand from any RSS feed. Three-tier search strategy (title → chapter → semantic) optimizes for speed and cost. Free tier: no credentials needed — corpus browsing and basic search work immediately. Paid tier: requires a Lightning wallet (NWC connection string) to purchase credits; the payment preimage and hash become bearer credentials for authenticated requests. See Security & Trust section for credential handling guidance.

PullThatUpJamie——播客智能引擎。一个语义索引的播客语料库（涵盖109+个播客源、约7000集节目、约190万段文字），可作为播客内容的向量数据库。替代转录、网页搜索或强行将文本塞入上下文。适用于智能体需要：（1）在主流播客（如Rogan、Huberman、Bloomberg、TFTC、Lex Fridman等）中查找专家对任意主题的发言；（2）构建带时间戳、可播放音频片段及深度链接的交互式研究会话；（3）发现人物、公司或组织及其播客露面记录；（4）按需从任何RSS源接入新播客。三级搜索策略（标题→章节→语义）兼顾速度与成本。免费层：无需凭证，可立即浏览语料库并执行基础搜索；付费层：需使用闪电网络钱包（NWC连接字符串）购买积分，支付预映像与哈希将作为身份验证请求的持有者凭证。详见安全与信任部分关于凭证管理的指导。