Thinking out loud about AI, architecture, and building things that work
Research, case studies, and notes from the work.
Meet the new MeetBri
Here is a posse from LinkedIn: https://www.linkedin.com/pulse/mood-changed-feb26-meetbri-gznje/
Anatomy of a Context Seed
A context seed file is written for AI, not humans. It provides everything an AI needs to understand a topic, person, product, or process — and know where to find more when needed. Whether the seed describes a person, a software product, a cooking technique, or a company, the structure remains the same: three sections, each with a distinct purpose. Read More
Why do some AI chats feel smarter than others
Instant Context
Introducing InstantContext.ai a method for putting context directly in a link.
Ai B2B Purchasing Decision Data
Ai is the new top of funnel for B2B sales and here is the data.
Your Opening Message Determines Everything With AI
Article on LinkedIn link
Panels for Strategic Insight
Credible strategic support and blind-spot detection remain serious challenges for the current generation of AI systems. AI models, trained for helpfulness and likeability, often drift toward what can only be described as “performative agreeableness.” It’s why people push them to “get real with me”—they sense the flattening of truth beneath the friendliness.
What is a Manifest and well-known
A manifest is the configuration file that tells clients like Claude what an MCP server can do. It declares the tools, resources, and prompts the server offers, plus some basic metadata like its name, version, and description. In short, it’s how an MCP server introduces itself and explains how to talk to it. Until now, you wouldn’t have seen one because clients had to actually connect to a server before discovering its capabilities. That’s changing with the November 2025 spec update, which introduces .well-known URL discovery. This is a big deal. It means MCP servers will be able to publish their manifest in a predictable public location—like how websites use sitemap.xml—so tools, registries, and even search engines for MCP can index what’s out there without needing a live connection. That shift makes the manifest more than just internal config. It becomes the public face of an MCP server—the thing that lets the ecosystem browse, catalog, and connect everything together. If you’ve never heard of manifests before, that’s normal. They’ve been working quietly in the background. But the new .well-known requirement is about to make them front and center in how AI systems discover and connect across the MCP network.
How We Test
LLMs don’t just need to answer questions—they need to choose the right tools when connected to an MCP server. Our testing system is designed to measure exactly that, giving us a clear picture of how well models navigate real-world tool use.
Case Study: How Manifest Alignment Boosted Tool Use Performance from 70% to 83% for Cooking MCP
Large language models don’t just rely on their training—they also depend on how tools are described and exposed through manifests. Even small wording choices in a manifest can make the difference between a model using the right tool confidently or skipping it altogether.
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