shawnyeager

Agent payments have a three-body problem

I should have titled differently. The first is the visualization. This is the accompanying article. Cheers.

How AI agents will pay for things gets framed as a technology problem, but the technology already exists across the full spectrum from Visa to Cashu. 

The unanswered question is political.

Who controls agent payments? A force simulation of the three-way gravitational fight between state regulators, card networks, and open protocols.

Agent payments have a three-body problem | Sideband Lab

SOUL.md and MEMORY.md are the new hearts and minds

AI changed what a product is

Fair. But I think @dergigi calls what's coming. 

 https://primal.net/e/nevent1qqstdcgqj2rpwrzcy2jjzvzwl7exjtegw5x4tr2s5dm0jswjkt6aqeqxcpgh8

Better yet, skills.md. Agree that it's evolving quickly, and MCP seems destined for the dustbin.

builders

GTM Map | Find the gaps in your go-to-market

bitcoin

Soldiers, scouts, and the limits of persuasion

High quality customer interviews are a superpower for figuring out which features to build and which to kill. I've conducted hundreds over the years, working toward product-market fit.

tl;dr When you ask the right questions, body language tells you what matters most. Transcripts tell you the rest.

Here's a complete LLM prompt framework to get started, created from my real-world usage, including the exact interview script I follow.

https://github.com/shawnyeager/interview-analysis

The bare-bones MVP is that you clone this repo, point your LLM at a directory of transcripts, and tell it to go.

- - - 

Next level: build a lightweight version of this, but on freedom tech.

https://www.aha.io/discovery/overview

Potential components:

+ Soapbox Shakespeare
+ jitsi or WebRTC for video
+ blossom for video storage (encrypted?)
+ routstr or Maple AI for post-interview transcription and—most importantly—patterns and insights from a campaign of interviews

Customer interview meta-analysis

I built a 10-question scorecard for B2B founders building Bitcoin and freedom tech products. It takes about 5 minutes and gives you a breakdown across market clarity, positioning, sales process, acquisition, and unit economics.

I keep seeing founders deep in engineering and product—maybe building something great—but missing commercial fundamentals. They know something's off but aren't sure where to focus. That's what this is for.

https://shawnyeager.com/score

Feedback welcome.

Sales Readiness Score - diagnostic for B2B Bitcoin/freedom tech founders

tech

Introducing OpenSecret - the encrypted backend

Rsync25

Huge. Congratulations, Tony and team. Can't wait to see where this goes.

news

Mainstream media continue to (deservedly) lose ground

GhostofTruth

This is wonderful to see. Thanks for sharing. 

BooksAndArticles

Weekend Book Recommendations

My signed copy of _Gradually, Then Suddenly_. 
</humblebrag>

US agency tasked with curbing risks of AI lacks funding to do the job

DEADBEEF

Excellent news. I recommend [this interview](https://www.ft.com/content/2dc07f9e-d2a9-4d98-b746-b051f9352be3) with Andrew Ng.