• OpenClaw: A Revelation…But with a Hangover
• Cutting the Gordian Knot with the Jamie Pull Agent
• Try It in Your Browser
• For Developers: One API Call
• How It Works
• What’s Coming
• The Future of UX is a Conversation
• FAQ

TL;DR: Jamie Pull is a podcast research agent that works like OpenClaw but runs on our infrastructure instead of yours - saving you setup time and bloated cost.

Ask a question in plain English, get back streaming results with clips, transcripts, and analysis. ~$0.10 per call (not per token), 5-30 second response time, zero setup, zero maintenance. No Docker containers, no API key juggling, no surprise bills. Try The Web Client Now - or for builders use our Jamie Pull API.

§OpenClaw: A Revelation…But with a Hangover

When I saw OpenClaw I knew it was what AI practicioners like myself had been awaiting for a LONG time. It showed us what’s possible. An agent that orchestrates tools, maintains context, and actually gets work done. It’s genuinely incredible technology.

But here’s the thing: most people don’t want to become OpenClaw administrators. They want to get the job done.

The reality check:

• You need technical chops to get it running and keep it running
• Infrastructure management becomes your problem (Docker, APIs, dependencies)
• Cost monitoring is manual - surprise $500 bills are a feature, not a bug
• Debugging at 2 AM when a tool chain breaks isn’t everyone’s idea of productivity
• The gap between “this demo is amazing” and “I use this daily” is measured in frustration

The capability is real. The barrier to entry is also real.

Jamie Pull exists because I wanted my customers to be able to use Jamie without needing to master OpenClaw first. They’d see what the agent could do and get excited, then hit the wall: skills they didn’t have, infrastructure they didn’t want to manage, maintenance they couldn’t keep up with.

Same orchestration power, same multi-tool intelligence, zero infrastructure burden.

You shouldn’t need a DevOps hobby to ask questions about podcasts.

§Cutting the Gordian Knot with the Jamie Pull Agent

Jamie Pull is a plain-English API that sits on top of our entire podcast corpus hundreds of feeds and millions of moments from culturally relevant podcasts.

Instead of calling primitives yourself (search, chapter search, discovery, transcription, clip creation), you hand it a task and it plans, executes, and combines the results for you.

You get the efficiency without the headache. We handle it for you.

Think OpenClaw’s orchestration layer, but:

• Runs on our infrastructure
• Bounded at ~$0.10 per call (not per token)
• No setup, no Docker, no credential juggling
• Streaming results in 5-30 seconds
• Bitcoin payable via L402
• Agent to Agent friendly

One API call. Plain English in, structured results out.

§Try It in Your Browser

No installation required. Go here, ask a question, get clips.

Ask in plain English. Get streaming responses with inline playable clips. Create research sessions that bundle your findings into shareable collections.

That’s it. No Docker. No config files. No “getting started” guide that takes three hours.

§For Developers: One API Call

Want to integrate Jamie Pull into your own app or agent? Same power, same streaming, direct API access. L402 payable with some free trial options (see here)

curl -X POST https://pullthatupjamie.ai/api/pull \
  -H "Content-Type: application/json" \
  -H "Authorization: L402 <macaroon>:<preimage>" \
  -d '{
    "message": "What did Michael Saylor say about AI on TFTC last year?",
    "stream": true
  }'

Get back: • Real-time streaming status (SSE) • Tool calls and results as they happen • Synthesized answer with embedded clips from millions of moments and tens of thousands of audio hours • Suggested follow-up actions • Session continuity for multi-turn research

§How It Works

Jamie Pull reasons about the podcast corpus hierarchy (feeds, episodes, chapters, quotes), applies filters, and pulls in RSS metadata to answer your question. It orchestrates search, discovery, transcription, and analysis across millions of paragraphs without you touching the primitives.

Examples:

• “What did Jeff Booth say about CBDCs?” → searches quotes, returns clips with timestamps
• “Make me a research session about UFO conspiracy theories” → searches comprehensively across multiple angles and sources, curates the best clips, creates a shareable research playlist

§What’s Coming

Right now Jamie Pull handles research. Soon it’ll handle the full workflow from question to published content.

Create: Point Jamie at a quote or timestamp range, get back a shareable audio/video clip with burned-in captions in seconds. Direct hand-off to publishing.

Publish: One-click cross-posting to Nostr and X/Twitter. Podcasting 2.0 timestamp links. Scheduled drops and cross-posting coordination.

Worker: Hand Jamie long-running tasks (standing research briefs, scheduled clip drops, recurring digests) and it runs async. Nothing blocks your chat; you get pinged when work completes.

Full automation: From research question → curated clips → scheduled social posts, end-to-end.

§The Future of UX is a Conversation

We believe agent-driven interfaces are the future of how humans interact with software and the internet itself. Not forms, not dashboards, not endless dropdowns. Just ask, get an answer, move on.

Jamie Pull is our bet on that future. Plain English in, structured results out. No learning curve, no manual, no “getting started” tutorial that takes three hours.

Try it: pullthatupjamie.ai/app?view=agent

For developers: Check out our L402 Lightning-paid API - same agent, direct API access.

Read more: Bad Day to Be a Screen: Why Headless AI Agents Kill Conventional UX Patterns

Stay tuned for updates at pullthatupjamie.ai/blog.

§FAQ

How do I find actual quotes from podcasts?
Ask Jamie Pull in plain English. It searches millions of transcript paragraphs semantically, returns exact spoken moments with timestamps and clip links. No hallucination, no summaries - actual quotes with audio proof.

How accurate are the results?
As Roland Pucket wrote: Jamie “delivers on the headline promise: exact spoken moments from inside audio, with timestamps and clip links your agent can hand directly to a user.” You get the actual words spoken, not AI paraphrasing.

Why not just use Spotify or Apple Podcasts search?
Spotify searches episode titles and descriptions, not transcripts. Jamie Pull searches the actual spoken words semantically - meaning you can ask “What did Saylor say about inflation?” and get the exact moments, not episodes that mention those keywords.

Why not use ChatGPT for podcast research?
ChatGPT hallucinates. It’ll confidently tell you someone said something they never said. Jamie Pull only returns what’s actually in the transcript, with timestamps and audio proof you can verify instantly.

Why not manually download transcripts?
Manual transcription costs $1-3 per hour of audio and takes time. Jamie Pull’s on-demand transcription costs pennies and completes in 30-120 seconds. Plus you get permanent semantic search, not just a text file.

Can I use Jamie Pull in my own app?
Yes. Hit the API directly at /api/pull with L402 Lightning auth. ~$0.10 per call, streaming SSE responses. Full OpenAPI spec and client dev guide available.

What is L402 and why should I use it?
L402 is Lightning-native HTTP auth. Pay once with Bitcoin Lightning (no account, no email, no KYC), get a credential that works across every paid endpoint until the balance runs out. No subscription, no card on file, no surprise bills. Try it here.

Does Jamie Pull work with OpenClaw or other agent frameworks?
Yes. Install the ClawHub skill for OpenClaw, or hit the /api/pull endpoint directly from any agent framework that can make HTTP requests and handle SSE streams.

Can AI agents use Jamie Pull?
That’s what it’s built for. Streaming SSE responses, embedded clip tokens that resolve to playable media, suggested follow-up actions, session continuity. Agents get structured output they can act on, not prose they have to parse.

What podcasts does Jamie Pull index?
Hundreds of feeds, tens of thousands of episodes, millions of paragraphs. Check corpus stats for current count. You can also request on-demand transcription for any episode from 4M+ podcasts via Podcast Index.