adamkalamchi.com valid

adamkalamchi.com

Personal site of Adam Kalamchi — data and AI infrastructure operator. Turns data into insight and process into software. Writing on data infrastructure, AI, agentic engineering, and the messy industries (real estate, mortgage, insurance, consumer credit) where those tools matter most.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T09:55:32.149Z. Cached copy · Source on adamkalamchi.com

# adamkalamchi.com

> Personal site of Adam Kalamchi — data and AI infrastructure operator. Turns data into insight and process into software. Writing on data infrastructure, AI, agentic engineering, and the messy industries (real estate, mortgage, insurance, consumer credit) where those tools matter most.

Adam Kalamchi is a data and AI infrastructure operator. He goes into data-heavy industries and turns data into insight and process into software. So far that's been in real estate, mortgage, and insurance. Lately, deep tech. He raised $33M from Bessemer Venture Partners, RRE, and MetaProp to build Staircase, a mortgage infrastructure platform with 100+ integrations and an engineering team of 50+ built across four continents over six years. He co-founded Elephant Protocol, which tokenized 10.5M Florida properties onchain at ~100x cheaper than incumbents. Earlier career: McKinsey, Mubadala (semiconductor portfolio), BCG. Education: Harvard BA Economics cum laude, Columbia MBA. Interim Chief Data Officer at a Point72/Värde-backed specialty finance platform.

## Articles
- [A Wrapper with a Loop Is Still a Wrapper](https://adamkalamchi.com/articles/60-agentic-engineering/): Most companies saying "agentic" have a prompt template calling an API. Real agentic engineering is agents that create, QC, and compete with other agents.
- [The Prompt Is the Last 5%](https://adamkalamchi.com/articles/23-context-engineering/): Context is the 95%. The prompt is the last 5%. Why the retrieval, assembly, and layering pipeline determines AI output quality.
- [AI Readiness Scorecard](https://adamkalamchi.com/articles/43-ai-readiness-scorecard/): A pre-qualification framework for AI transformation that measures organizational willingness to change, not technical readiness.
- [3 People. 90 Days. Shipped.](https://adamkalamchi.com/articles/27-pod-model/): Why a 3-person embedded team outperforms larger teams for AI transformation, and the 30/30/30 methodology that makes it work.
- [Enterprise AI: The Organizational Willingness Gap](https://adamkalamchi.com/articles/17-enterprise-ai-transformation/): Why the gap between AI demo and AI production isn't a technology problem -- it's an organizational willingness problem that most companies refuse to confront.
- [Two People Matched My Email Style. Two.](https://adamkalamchi.com/articles/03-systems-thinkers/): Systems thinkers with business background are the highest-leverage people in AI -- and the disadvantage they faced in narrative institutions is now their edge.
- [The Three-Layer AI Workforce](https://adamkalamchi.com/articles/67-three-layer-ai-workforce/): Most enterprise AI deployments build workers — agents that automate recurring processes. The compounding leverage comes from two layers most teams skip.
- [The P&L Test](https://adamkalamchi.com/articles/68-pl-test/): The only honest measure of whether AI transformation worked is whether it shows up in the operating statement. Everything else is theater.
- [A Heartb
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