Go ahead. Check its citations.
You tuned the prompts, wired up the tools, sent your agent out to do "deep research" — and it came back citing a listicle and two SEO recaps written by an AI summarizing another blog post.
Garbage in, slop out. Your agent doesn't have a reasoning problem. It has a source problem.
The best thinking moved somewhere your agent can't follow
The most valuable ideas on the internet migrated into long-form conversation years ago. Scientists, builders, and investors say the specific, actually-useful stuff on three-hour podcasts — and your agent is deaf to all of it. So when it "researches" what an expert said, it reads blogspam about the podcast. Secondhand recaps of firsthand knowledge, written for search engines, frequently wrong.
That's the absurdity we've all been shipping.
The fix is one API call, not a pipeline
You could solve this yourself: download audio, run Whisper, bolt on diarization, chunk transcripts, stand up a vector database, keep it fed as episodes drop. Congratulations — you set out to build an agent and now you maintain podcast infrastructure.
Or your agent could just call Pull That Up Jamie.
Jamie has already indexed thousands of episodes — nearly two million paragraphs, searchable by meaning. One call returns the exact moments a topic was discussed: full quotes, timestamps, speaker attribution, playable clips. Not a recap of a recap. The actual moment, with a receipt.
Priced for agents, not procurement departments
Roughly $0.10 a call. No subscription, no pipeline to babysit. Jamie even takes bitcoin Lightning payments, so an authorized agent can top up its own credits without a human in the loop.
On PPQ.ai? Podcast search is already there as a plugin: ppq.ai/models/podcast-search.
Upgrade your agent's diet
- Feed your agent pullthatupjamie.ai/llms.txt — it can read the docs itself.
- Run its first semantic search across 150k+ hours of podcasts.
- Watch its next report cite real conversations instead of content farms.
You built the agent. Stop feeding it slop. Start it at the llms.txt.