nostr:nprofile1qys8wumn8ghj7mn0wd68ytn9d9h82mny0fmkzmn6d9njuumsv93k2tcpz4mhxue69uhkummnw3ezummcw3ezuer9wchsqgz9x4235sp8rvze4wftw8n6kl58qqrp5tv3krfq7vf7lqhs2t4ss5z99d3e does that make the agent side ha...
I'm not sure if we're talking past each other so I will be verbose. When you say "the agent" that could either mean your OpenClaw or similar agent that uses the Jamie Pull endpoint (which is also agentic) or it could mean the agent that runs inside my endpoint. I will refer to the latter as "Your Agent" and "The Jamie Agent" respectively.
There are two models available. One of them gives you direct access to primitives such as:
## The Jamie Primitives
- Paragraph Level Transcript Search (L402 Payable)
- Chapters and Keyword search (L402 Payable)
- Corpus search (i.e. which podcasts, which guests etc) (Free)
You can build Your Agent to utilize those primitives as you see fit. But if you do you might need to put in backstops like limiting cost and dealing with the technical complexity.
## The Jamie Agent
The other model is to use the Jamie Agent. It is one endpoint that costs a flat rate of $0.10. You can think of it as a reference design that implements an agentic loop that uses the above endpoint primitives to give you a Natural Language endpoint you can ask straightforward questions to as a human or you can hand it to Your Agent to research on your behalf. We put a lot of time and effort into the endpoint and it tames the wildness of LLMs to give you real answer grounded in high signal podcasts with bounded cost.
To speak directly to the Jamie Agent as a human user go here: https://www.pullthatupjamie.ai/app?view=agent
To have your agent interact with the Jamie agent, hand it the docs and an NWC string or wallet: https://www.pullthatupjamie.ai/for-agents
You can put backstops in by either putting those into the logic of your agent or hard stops on your NWC budget or the like. Hopefully that answers your question. Let me know if you have any others.
There are two models available. One of them gives you direct access to primitives such as:
## The Jamie Primitives
- Paragraph Level Transcript Search (L402 Payable)
- Chapters and Keyword search (L402 Payable)
- Corpus search (i.e. which podcasts, which guests etc) (Free)
You can build Your Agent to utilize those primitives as you see fit. But if you do you might need to put in backstops like limiting cost and dealing with the technical complexity.
## The Jamie Agent
The other model is to use the Jamie Agent. It is one endpoint that costs a flat rate of $0.10. You can think of it as a reference design that implements an agentic loop that uses the above endpoint primitives to give you a Natural Language endpoint you can ask straightforward questions to as a human or you can hand it to Your Agent to research on your behalf. We put a lot of time and effort into the endpoint and it tames the wildness of LLMs to give you real answer grounded in high signal podcasts with bounded cost.
To speak directly to the Jamie Agent as a human user go here: https://www.pullthatupjamie.ai/app?view=agent
To have your agent interact with the Jamie agent, hand it the docs and an NWC string or wallet: https://www.pullthatupjamie.ai/for-agents
You can put backstops in by either putting those into the logic of your agent or hard stops on your NWC budget or the like. Hopefully that answers your question. Let me know if you have any others.
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