why aren't all 9 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
Insight
Chase: Agent harnesses matter more for performance than underlying models
“I, the, so I don't know what happens, but I do know the harness is really, really important. Like, I think this is the thing that matters.”
Insight
Chase: AI builder differentiation lies in domain knowledge, not harness infrastructure
“I think a lot of the differentiation is in like the instructions and the tools and the skills and that basically, yeah, knowledge of how to do a process that you encode into natural language and give the agent and then the tools and the skills that you let it …”
Insight
Chase: High reliability AI agents require structured, graph-like scaffolding workflows
“So people ended up building scaffolding around the models to make them do things in a more predictable and reliable way. And that's why we at link chain, we built lane graph, which was another framework really aimed at that kind of like. Graph like workflows a…”
Insight
Chase: Human standard operating procedures should guide AI agent system prompts
“If you have a standard operating procedure for how a human should do things like that, that should influence a lot of what the system prompt is.”
Insight
Harrison Chase: Modern AI agent harnesses don't strictly enforce execution plans
“And so now what most things do is they just have that plan in the text file, and the main agent can, like, use that to help guide its actions, but there's nothing that says I'm explicitly doing this step, or I'm explicitly doing another step.”
Insight
Harrison Chase: Inter-agent communication is the hardest part of working with AI agents
“Communication is the hardest part of life, by the way, it's the hardest part of startups, hardest part of relationships, hardest part of working with agents is getting them to communicate.”
Insight
Chase: Virtual file systems let LLMs manage their own context windows
“And the way that I think about a file system is it basically lets the LLM manage its own context window. So it can decide what to read from files.”
Insight
Chase: AI agent context compaction must retain recent messages for flow
“You want to keep around like the last N messages, let's say the last like 10 or so messages, because if you compact everything, it actually like throws it off completely.”
Insight
Harrison Chase: AI evals and prompt optimization are closely tied, unlike memory
“I guess evals and prompt optimization are pretty closely tied, but like evals and memory are actually not at all tied.”