Watch the full tutorial on connecting Sanity Context Knowledge Bases over MCP, plus grab the architecture notes and code walkthrough: Video: youtu.be/jm5Vq60qYTk Blog: codingcat.dev/post/sanity-kn…

3/ Think you are diversified in VOO, SPY, QQQ, or VTI? 37% of the S&P 500 and 48% of the Nasdaq-100 sit in these 8 interconnected AI balance sheets (plus TSMC, ASML, and SK Hynix in VXUS). Full breakdown + Architecture Diagrams: codingcat.dev/post/anthropic…

2/ In public, Meta, Google, Apple, Microsoft, xAI, and Anthropic are rivals. Under the hood: • Meta trains Llama on 1M+ NVIDIA GPUs while using Google Cloud & Gemini Search grounding. • Apple routes Apple Intelligence to Gemini, OpenAI, and Claude. • All chips -> TSMC.

1/ Look at how "AI round-tripping" works in the S-1: • Google commits up to $40B -> Anthropic signs $114.5B in Google Cloud TPU commitments through 2033. • Amazon commits up to $33B -> Anthropic signs $110B in AWS Trainium2 commitments. • Plus ~16% marketplace fees!

Anthropic just filed its Form S-1 for a Nasdaq IPO ($ANT), and the footnotes read like the ultimate Big Tech infinite money glitch. $16.3B H1 2026 revenue. -$80.7B H1 GAAP net loss. $518B in take-or-pay cloud commitments. How 7 CEOs built a circular AI economy: 🧵👇

Check out the production checklist covering Context Viewer tokens, scheduled drift detection, and token cost optimization: Video: youtu.be/jm5Vq60qYTk Article: codingcat.dev/post/sanity-kn…

Here is how the dataset outline and GROQ projection flow works under the hood: youtu.be/0gsqAIGxXzc Architecture deep dive on CodingCatDev: codingcat.dev/post/sanity-kn…

See how source change flagging blocks unapproved updates in 60 seconds: youtu.be/LFFy_UwbEa4 Step-by-step walkthrough and code: codingcat.dev/post/sanity-kn…

How do you keep AI agent context windows lean at runtime? Shape the dataset at build time. Use a narrow GROQ projection to strip UI metadata and compile a compact dataset outline so agents retrieve exact entry paths on demand. Details in the reply 👇

What happens when someone edits a pricing or policy doc with an unverified claim? In standard RAG, the vector index ingests it immediately. With Sanity Knowledge Bases, the conflict is flagged before it touches agent state. Demo in the reply 👇

Shipping an MCP knowledge pipeline to production requires three guarantees: low token overhead, source drift protection, and strict read-only auth. Never let unvetted doc edits silently mutate agent answers. Production patterns in the reply 👇

Watch the full tutorial on CodingCat.dev: youtu.be/jm5Vq60qYTk | Blog: codingcat.dev/post/sanity-kn…

Stop Wasting Tokens: Give AI Agents a Dataset Outline. Keep AI agents accurate and token-efficient by replacing broad similarity searches with a lightweight dataset outline and direct entry-path retrieval. Start with a clear purpose and a narrow Groq proj

Watch the 60-second breakdown on building structured dataset outlines for AI agents: youtu.be/0gsqAIGxXzc Read the full Sanity Knowledge Bases guide: codingcat.dev/post/sanity-kn…