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Drew Bittenbender

@dbittenbender

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🚨 Big move: Amazon Web Services (AWS) has just open-sourced a markdown-based format called “Agent SOPs” to streamline how AI agents are built — aiming to tame unpredictability and improve maintainability in agentic workflows. 🔗 buff.ly/tNrTyBw #AI #AgentTechnology

cmdrvl's tweet image. 🚨 Big move: Amazon Web Services (AWS) has just open-sourced a markdown-based format called “Agent SOPs” to streamline how AI agents are built — aiming to tame unpredictability and improve maintainability in agentic workflows. 

🔗 buff.ly/tNrTyBw 

#AI #AgentTechnology…

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First time sharing this: We’ve been building Signals, a tool for exploring macro curves and event reactions with proper lineage. It’s early and rough, but we’re opening 15 free early-access seats. Check it out → signals.cmdrvl.com


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Delinquencies for GMFC 2020-4 remain at 1.63%. according to Edgar sec.gov filings.

cmdrvl's tweet image. Delinquencies for GMFC 2020-4 remain at 1.63%. according to Edgar sec.gov filings.

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Ever wonder how dealcharts.org delivers such precise info? CMD+RVL dives deep into metadata to reveal actionable intelligence that powers smarter decisions. Explore more at cmdrvl.com.


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BBCMS 2024-C26 has 17.4% of its pool located in the state of Texas according to Edgar sec.gov filings. The reporting period for this information begins 2024-04-12 and ends 2024-05-13.

cmdrvl's tweet image. BBCMS 2024-C26 has 17.4% of its pool located in the state of Texas according to Edgar sec.gov filings. The reporting period for this information begins 2024-04-12 and ends 2024-05-13.

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There are 6 retail loans in BANK 2020-BNK30 according to Edgar sec.gov filings. 7.6% of the BANK 2020-BNK30 loans are backed by retail collateral.

cmdrvl's tweet image. There are 6 retail loans in BANK 2020-BNK30 according to Edgar sec.gov filings. 7.6% of the BANK 2020-BNK30 loans are backed by retail collateral.

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13.6% of the BANK5 2024-5YR6 loans are backed by lodging collateral.

cmdrvl's tweet image. 13.6% of the BANK5 2024-5YR6 loans are backed by lodging collateral.

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S2P broken down: 1) Sourcing—identifying needs & finding suppliers. 2) Contract Management—negotiating terms & drafting contracts. 3) Procure-to-Pay—ordering, receiving, & paying for goods/services. Each stage collects crucial data.


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S2P, or Source-to-Pay, is the full procurement process from sourcing goods and services to final payment. It covers strategic sourcing, purchasing, and supplier management, ideal for exploring a metadata-first data strategy.


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Little diversion from our work in finance and CRE - been thinking about metadata-first data strategy as it relates to the Source--to-Pay (S2P) industry. Next few weeks posts will be exploring this area.


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Reading Fightin Phils (Phillies) vs Portland Sea Dogs (Red Sox)


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What if... all data marts, databases, and data labs will henceforth expose their metadata through service interfaces. All interfaces, without exception, must be open for internal consumption by all teams. Every data point appearing on any report must cite two metadata sources.


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While our primary use case is unlocking better conversations around data within your teams, there is no denying that AI training on metadata is going to be huge - we are working on some big features in this space!


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The word "metadata" is brutal, it connotes abstraction and higher orders of complexity in a world that is already cognitively overwhelming. Building a business around it likely requires using different words, like data (contracts, catalogs, discovery, mesh, observability, etc).


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Data dictionaries and metadata are not intended to reduce or eliminate the number of conversations teammates have about data - they serve to improve the quality of conversations teammates have about data.


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Slack alerts giving me more metadata to collect.

cmdrvl's tweet image. Slack alerts giving me more metadata to collect.

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The UI is always the worst part of data discovery engines - sure search bars are cool - but expecting every data seeker to use it is a bit much. The real power is in the the metadata you collect and all the opportunities it can reveal if leveraged properly.


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Shout out to quickchart.io - we use this API to generate charts and tables (outcomes), works really well. buff.ly/2TgXkO1


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New chart up on dealcharts.org: cmbs interest rate distribution: buff.ly/3uU1ggD . DBT is doing the heavy lifting, so another chart that took less than an hour to build and publish for 265 cmbs deals, automated so they will auto-publish as monthly remits roll in.

dealcharts.org

Deal Charts - Download charts created from awesome datasets.

Download premade images of charts from the best datasets Capital Markets and Structured Finance for use in your projects such as a committee document, investment thesis, or servicer report.


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