The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 4 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Disclosure
Colvin: Pydantic AI introduces declarative TOML serializable agents
“One of the things we're doing now in Pydantic AI is where we're about to introduce, I think there's a PR out for this. So I think this is public serializable agents. So basically you can define an agent entirely in a TOML file, everything from the model to the…”
Samuel Colvin Mar 14, 2026 ▶ 29:42 ⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
Opinion
Many current community-built MCP servers are mediocre
“I think we see a lot of mediocre MCP services. I mean, some very, very good ones.”
David Soria Parra Dec 28, 2025 ▶ 59:51 One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
Assertion Not checkable as stated
Colvin: Enterprise AI agent tools are increasingly hosted via MCP
“If I want to go and register arbitrary tools, that's a whole different thing. And this thing breaks down, but often those tools are more and more, at least in enterprise, in packed up and put behind MCP servers.”
Samuel Colvin Mar 14, 2026 ▶ 31:26 ⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
Assertion Supported
Shah: Agent.ai automatically generates REST APIs and MCP integration for agents
“Every agent that's on agent.ai automatically has a REST API that's callable in exactly the way you would you'd expect. Automatically shows up in the MC, MCP server.”
Dharmesh Shah Mar 28, 2025 ▶ 53:40 The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
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