AI + Freedom Founder of CASCDR
Your agent's "deep research" is citing SEO slop about podcasts it can't hear. Jamie gives it semantic search over 2M podcast paragraphs — ~$0.10 a call. Jamie fixes this.
Jamie ahora habla español: búsqueda semántica en 3.418 episodios de los mejores podcasts Bitcoin en español, de Lunaticoin a El Bit. Con timestamps y audio real.
Nostr has never seen a bot like this. Tag @jamie_bot, zap a dime in sats, and a full research agent pulls the exact podcast clips that answer your question from 120,000+ hours. Real audio, timestamped, verifiable.
Aimable Karasira died in custody the day he was supposed to be free. Governments kill one person to silence thousands. At HRF's hackathon, we built Zuka - a "digital Guy Fawkes mask" using Nostr, Bitcoin, and AI to give activists voices that can't be traced, shut down, or killed.
Jamie just landed on PPQ's shelf. Ask any podcast a question in plain English, get the actual spoken clip back — no hallucinated quotes, no subscription, paid out of the same Lightning balance as GPT-5 and Claude.
Jamie Pull upgraded to DeepSeek V4. Multi-angle podcast research, better proper-noun search, Deep/Fast modes. Same 10¢ pricing. Structured output for AI agents, playable clips for humans. L402 Lightning payable, zero setup.
OpenClaw's bloate inference and maintenance costs make doing many things painful. Jamie Pull gives you podcast research agent orchestration at $0.10/call with zero setup. Semantic search across millions of podcast quotes, on-demand transcription, L402 Lightning auth. Try it in your browser or integrate via API.
A macro analyst compared February 2026 to July 2007. He predicted the bond panic, the Fed pivot, and gold's breakout. His next call is the biggest yet. We tracked 4 years of his predictions across 10 podcasts using PullThatUpJamie.ai.
Meta's acquisition of Moltbook — a social network with no human users and no revenue — only makes sense when you understand agentic commerce. If AI agents become the primary interface to the internet, controlling what they see and how they interact means controlling where money flows.
AI agents don’t use API keys. They pay for APIs using protocols like L402, MPP, and NWC, where payment replaces authentication. Learn how agents access services, why this model is more secure and scalable, and how to try it yourself with real endpoints.
Jamie shipped two things: an LLM-powered search mode that parses natural language into structured podcast research, and four L402 endpoints on 402index.io that let any AI agent with a Lightning wallet buy context from thousands of hours of expert conversation.
We're heading into a world where AI agents operate autonomously, call tools, and pay to get things done. That's trillions in future commerce... and Bitcoin isn't guaranteed any of it. The rails exist. Lightning works. But a wallet with nothing to buy is a bridge to nowhere. This piece argues that applications, not protocols, decide who wins...and that Bitcoiners need to start building and TAKE the future they want to see.
Hour-long podcast embeds kill conversions. Visitors bounce before your story even starts. Jamie fixes this. Curate your best moments into sub-60-second clips that actually get watched. Bitcoin Bay, Branta, and Modern Chains are already using it to turn casual visitors into believers. Limited Jamie-branded iframe slots available for March - see how it works and apply inside.
Cross-post to Twitter/X and Nostr simultaneously with X-POAST. Automated NIP-01 signing, relay broadcasting, and scheduling—so creators write once, publish everywhere.
PullThatUpJamie is now live as a ClawHub skill, giving AI agents semantic search across 109 podcast feeds and nearly 2 million indexed transcript segments. Instead of summaries, agents get timestamped audio clips, direct deeplinks, and fully interactive research sessions grounded in primary source media. The post explains how verifiable podcast search, visual intelligence artifacts, and Lightning-native API payments via Alby Hub make this a real implementation of the Machine Payable Web.
Screens dominated computing for decades not because they were ideal, but because they were necessary - computers couldn't understand natural language. Now that LLMs handle input and agents handle output, that constraint just evaporated. This essay explores what replaces screens, using PullThatUpJamie as a real-world case study of agent-first design.
AI should sharpen your thinking, not replace it. I built a visual search engine for free thinkers who refuse to outsource their sense-making.
